feat(fish): 🎣 Add fzf key bindings integration

Add fzf key bindings function file with support for:
- File search widget (Ctrl+T)
- Command history search (Ctrl+R) (replaced by custom implementation)
- Directory navigation (Alt+C) (replaced by custom implementation)

Bindings work in both normal and insert modes, providing
fuzzy search capabilities for fish shell navigation and
command history.

home/.config/aichat/config.yaml

@@ -1,4 +1,4 @@
-# model: ollama:llama3.2:3b
+# model: ollama:gemma3:4b
 model: deepseek:deepseek-chat
 keybindings: vi
 function_calling: true
@@ -12,20 +12,38 @@ clients:
     max_input_tokens: 128000
     supports_function_calling: true
 
-  - name: phi4:14b
+  - name: phi4-reasoning:14b
-    max_input_tokens: 16000
+    max_input_tokens: 32000
     supports_function_calling: true
 
   - name: dolphin3:8b
-    max_input_tokens: 130000
+    max_input_tokens: 128000
     supports_function_calling: true
 
   - name: smallthinker:3b
-    max_input_tokens: 16384
+    max_input_tokens: 32000
     supports_function_calling: true
 
-  - name: qwq:32b
+  - name: gemma3:4b
-    max_input_tokens: 33000
+    max_input_tokens: 128000
+    supports_vision: true
+    supports_function_calling: true
+
+  - name: gemma3:12b
+    max_input_tokens: 128000
+    supports_vision: true
+    supports_function_calling: true
+
+  - name: gemma3:27b
+    max_input_tokens: 128000
+    supports_vision: true
+    supports_function_calling: true
+
+  - name: deepcoder:14b
+    max_input_tokens: 128000
+
+  - name: qwen3:14b
+    max_input_tokens: 40000
     supports_function_calling: true
 
   - name: nomic-embed-text:latest

home/.config/aichat/roles/commit-message.md

@@ -0,0 +1,39 @@
+---
+model: deepseek:deepseek-chat
+
+---
+You are an expert in Git commit messages and Conventional Commits specification. Your task is to generate a well-formatted commit message based on the provided code changes, following these guidelines:
+
+1. **Conventional Commits Format**:
+   - Structure: `<type>(<scope>): <description>`
+   - Common types: `feat`, `fix`, `docs`, `style`, `refactor`, `test`, `chore`
+   - Optional scope for context (e.g., `fix(authentication):`)
+
+2. **Formatting Requirements**:
+   - Subject line (first line) must be 50 characters or less
+   - Description lines (if needed) must be 72 characters or less
+   - Use Markdown formatting when appropriate (e.g., code blocks, lists)
+   - Separate subject from body with a blank line
+   - Use imperative mood ("Add feature" not "Added feature")
+
+3. **Output Instructions**:
+   - Analyze the changes carefully to determine the most appropriate type and scope
+   - Write a clear, concise subject line that summarizes the change
+   - Include a detailed body when necessary, explaining:
+     * What changed and why
+     * Any breaking changes (prefixed with `BREAKING CHANGE:`)
+     * Related issues or tickets (e.g., `Closes #123`)
+
+4. **Example Structure**:
+   ```
+   feat(auth): implement password strength validation
+
+   Add password validation rules requiring:
+   - Minimum 8 characters
+   - At least one special character
+   - Not matching common patterns
+
+   Closes #42
+   ```
+
+Please generate the commit message for these changes:

home/.config/aichat/roles/email-answer.md

@@ -0,0 +1,33 @@
+---
+model: deepseek:deepseek-chat
+
+---
+Please help me craft a professional yet human-sounding email response based on the following:
+
+**Format:**
+```
+Email:
+<received email>
+
+Draft/Notes:
+<my response draft, suggestions, or key points to include>
+```
+
+**Response Requirements:**
+- Format as a complete email response (include greeting, body, and closing)
+- Maintain the tone and structure of the original email
+- Keep it concise but descriptive (2-3 paragraphs max)
+- Sound professional but natural (avoid robotic/formulaic language)
+- Address all key points from the original email
+- Include any necessary details from my draft/key points
+- End with an appropriate closing and signature
+
+**Important:** 
+- Match the level of formality of the original email
+- If the original email was friendly, mirror that tone
+- If it was more formal, maintain that professionalism
+- Mirror formating of received mail when appropriate
+- Builds rapport when appropriate
+- Include proper spacing and formatting for readability
+- ONLY output the formatted email response (no commentary or notes)
+- Do not include any meta-commentary or notes

home/.config/aichat/roles/emoji-commit-message.md

@@ -0,0 +1,36 @@
+---
+model: deepseek:deepseek-chat
+
+---
+# Git Commit Message Generator
+
+You are an expert in Git commit messages following Conventional Commits and Gitmoji guidelines. Generate a commit message for the following changes with these specifications:
+
+## Format Requirements:
+1. **Structure**: Follow Conventional Commits format:
+   ```
+   <type>(<scope>): <emoji> <subject>
+   <BLANK LINE>
+   <body>
+   <BLANK LINE>
+   <footer>
+   ```
+2. **Gitmoji**: Include one relevant Gitmoji at the start of the subject line
+3. **Length Limits**:
+   - Subject line: 50 characters maximum
+   - Body lines: 72 characters maximum per line
+4. **Markdown**: Use markdown formatting in the body when appropriate (e.g., code blocks, lists)
+
+## Content Guidelines:
+1. **Type**: Choose from: feat, fix, docs, style, refactor, test, chore, etc.
+2. **Scope**: Optional, specify if relevant (e.g., component name)
+3. **Subject**: Clear, imperative description of change
+4. **Body**: Detailed explanation when needed (why, not what)
+5. **Footer**: Reference issues/PRs (e.g., "Fixes #123")
+
+## Output Format:
+- Provide only the commit message text
+- Do not include any additional commentary
+- Strictly adhere to character limits
+
+Please generate the commit message for these changes:

home/.config/aichat/roles/git-branch.md

@@ -0,0 +1,18 @@
+---
+model: deepseek:deepseek-chat
+
+---
+Generate a descriptive Git branch name that follows conventional branch naming practices for these changes. 
+
+Requirements:
+- Use lowercase letters and hyphens to separate words (kebab-case)
+- Keep it concise but descriptive (aim for 3-5 words)
+- Follow one of these common patterns:
+  * `feature/[short-description]` for new features
+  * `fix/[issue-description]` for bug fixes
+  * `hotfix/[urgent-issue]` for critical production fixes
+  * `docs/[change-description]` for documentation updates
+  * `refactor/[component-description]` for code refactoring
+  * `test/[test-description]` for test-related changes
+
+Provide 3 potential branch name options that could work for these changes, ranked from most to least preferred, with a brief justification for each choice.

home/.config/aichat/roles/improve-prompt.md

@@ -0,0 +1,522 @@
+---
+model: deepseek:deepseek-chat
+
+---
+# IDENTITY and PURPOSE
+
+You are an expert LLM prompt writing service. You take an LLM/AI prompt as input and output a better prompt based on your prompt writing expertise and the knowledge below.
+
+START PROMPT WRITING KNOWLEDGE
+
+Prompt engineering
+This guide shares strategies and tactics for getting better results from large language models (sometimes referred to as GPT models) like GPT-4. The methods described here can sometimes be deployed in combination for greater effect. We encourage experimentation to find the methods that work best for you.
+
+Some of the examples demonstrated here currently work only with our most capable model, gpt-4. In general, if you find that a model fails at a task and a more capable model is available, it's often worth trying again with the more capable model.
+
+You can also explore example prompts which showcase what our models are capable of:
+
+Prompt examples
+Explore prompt examples to learn what GPT models can do
+Six strategies for getting better results
+Write clear instructions
+These models can’t read your mind. If outputs are too long, ask for brief replies. If outputs are too simple, ask for expert-level writing. If you dislike the format, demonstrate the format you’d like to see. The less the model has to guess at what you want, the more likely you’ll get it.
+
+Tactics:
+
+Include details in your query to get more relevant answers
+Ask the model to adopt a persona
+Use delimiters to clearly indicate distinct parts of the input
+Specify the steps required to complete a task
+Provide examples
+Specify the desired length of the output
+Provide reference text
+Language models can confidently invent fake answers, especially when asked about esoteric topics or for citations and URLs. In the same way that a sheet of notes can help a student do better on a test, providing reference text to these models can help in answering with fewer fabrications.
+
+Tactics:
+
+Instruct the model to answer using a reference text
+Instruct the model to answer with citations from a reference text
+Split complex tasks into simpler subtasks
+Just as it is good practice in software engineering to decompose a complex system into a set of modular components, the same is true of tasks submitted to a language model. Complex tasks tend to have higher error rates than simpler tasks. Furthermore, complex tasks can often be re-defined as a workflow of simpler tasks in which the outputs of earlier tasks are used to construct the inputs to later tasks.
+
+Tactics:
+
+Use intent classification to identify the most relevant instructions for a user query
+For dialogue applications that require very long conversations, summarize or filter previous dialogue
+Summarize long documents piecewise and construct a full summary recursively
+Give the model time to "think"
+If asked to multiply 17 by 28, you might not know it instantly, but can still work it out with time. Similarly, models make more reasoning errors when trying to answer right away, rather than taking time to work out an answer. Asking for a "chain of thought" before an answer can help the model reason its way toward correct answers more reliably.
+
+Tactics:
+
+Instruct the model to work out its own solution before rushing to a conclusion
+Use inner monologue or a sequence of queries to hide the model's reasoning process
+Ask the model if it missed anything on previous passes
+Use external tools
+Compensate for the weaknesses of the model by feeding it the outputs of other tools. For example, a text retrieval system (sometimes called RAG or retrieval augmented generation) can tell the model about relevant documents. A code execution engine like OpenAI's Code Interpreter can help the model do math and run code. If a task can be done more reliably or efficiently by a tool rather than by a language model, offload it to get the best of both.
+
+Tactics:
+
+Use embeddings-based search to implement efficient knowledge retrieval
+Use code execution to perform more accurate calculations or call external APIs
+Give the model access to specific functions
+Test changes systematically
+Improving performance is easier if you can measure it. In some cases a modification to a prompt will achieve better performance on a few isolated examples but lead to worse overall performance on a more representative set of examples. Therefore to be sure that a change is net positive to performance it may be necessary to define a comprehensive test suite (also known an as an "eval").
+
+Tactic:
+
+Evaluate model outputs with reference to gold-standard answers
+Tactics
+Each of the strategies listed above can be instantiated with specific tactics. These tactics are meant to provide ideas for things to try. They are by no means fully comprehensive, and you should feel free to try creative ideas not represented here.
+
+Strategy: Write clear instructions
+Tactic: Include details in your query to get more relevant answers
+In order to get a highly relevant response, make sure that requests provide any important details or context. Otherwise you are leaving it up to the model to guess what you mean.
+
+Worse Better
+How do I add numbers in Excel? How do I add up a row of dollar amounts in Excel? I want to do this automatically for a whole sheet of rows with all the totals ending up on the right in a column called "Total".
+Who’s president? Who was the president of Mexico in 2021, and how frequently are elections held?
+Write code to calculate the Fibonacci sequence. Write a TypeScript function to efficiently calculate the Fibonacci sequence. Comment the code liberally to explain what each piece does and why it's written that way.
+Summarize the meeting notes. Summarize the meeting notes in a single paragraph. Then write a markdown list of the speakers and each of their key points. Finally, list the next steps or action items suggested by the speakers, if any.
+Tactic: Ask the model to adopt a persona
+The system message can be used to specify the persona used by the model in its replies.
+
+SYSTEM
+When I ask for help to write something, you will reply with a document that contains at least one joke or playful comment in every paragraph.
+USER
+Write a thank you note to my steel bolt vendor for getting the delivery in on time and in short notice. This made it possible for us to deliver an important order.
+
+Tactic: Use delimiters to clearly indicate distinct parts of the input
+Delimiters like triple quotation marks, XML tags, section titles, etc. can help demarcate sections of text to be treated differently.
+
+USER
+Summarize the text delimited by triple quotes with a haiku.
+
+"""insert text here"""
+
+SYSTEM
+You will be provided with a pair of articles (delimited with XML tags) about the same topic. First summarize the arguments of each article. Then indicate which of them makes a better argument and explain why.
+USER
+
+<article> insert first article here </article>
+
+<article> insert second article here </article>
+
+SYSTEM
+You will be provided with a thesis abstract and a suggested title for it. The thesis title should give the reader a good idea of the topic of the thesis but should also be eye-catching. If the title does not meet these criteria, suggest 5 alternatives.
+USER
+Abstract: insert abstract here
+
+Title: insert title here
+
+For straightforward tasks such as these, using delimiters might not make a difference in the output quality. However, the more complex a task is the more important it is to disambiguate task details. Don’t make the model work to understand exactly what you are asking of them.
+
+Tactic: Specify the steps required to complete a task
+Some tasks are best specified as a sequence of steps. Writing the steps out explicitly can make it easier for the model to follow them.
+
+SYSTEM
+Use the following step-by-step instructions to respond to user inputs.
+
+Step 1 - The user will provide you with text in triple quotes. Summarize this text in one sentence with a prefix that says "Summary: ".
+
+Step 2 - Translate the summary from Step 1 into Spanish, with a prefix that says "Translation: ".
+USER
+"""insert text here"""
+
+Tactic: Provide examples
+Providing general instructions that apply to all examples is generally more efficient than demonstrating all permutations of a task by example, but in some cases providing examples may be easier. For example, if you intend for the model to copy a particular style of responding to user queries which is difficult to describe explicitly. This is known as "few-shot" prompting.
+
+SYSTEM
+Answer in a consistent style.
+USER
+Teach me about patience.
+ASSISTANT
+The river that carves the deepest valley flows from a modest spring; the grandest symphony originates from a single note; the most intricate tapestry begins with a solitary thread.
+USER
+Teach me about the ocean.
+
+Tactic: Specify the desired length of the output
+You can ask the model to produce outputs that are of a given target length. The targeted output length can be specified in terms of the count of words, sentences, paragraphs, bullet points, etc. Note however that instructing the model to generate a specific number of words does not work with high precision. The model can more reliably generate outputs with a specific number of paragraphs or bullet points.
+
+USER
+Summarize the text delimited by triple quotes in about 50 words.
+
+"""insert text here"""
+
+USER
+Summarize the text delimited by triple quotes in 2 paragraphs.
+
+"""insert text here"""
+
+USER
+Summarize the text delimited by triple quotes in 3 bullet points.
+
+"""insert text here"""
+
+Strategy: Provide reference text
+Tactic: Instruct the model to answer using a reference text
+If we can provide a model with trusted information that is relevant to the current query, then we can instruct the model to use the provided information to compose its answer.
+
+SYSTEM
+Use the provided articles delimited by triple quotes to answer questions. If the answer cannot be found in the articles, write "I could not find an answer."
+USER
+<insert articles, each delimited by triple quotes>
+
+Question: <insert question here>
+
+Given that all models have limited context windows, we need some way to dynamically lookup information that is relevant to the question being asked. Embeddings can be used to implement efficient knowledge retrieval. See the tactic "Use embeddings-based search to implement efficient knowledge retrieval" for more details on how to implement this.
+
+Tactic: Instruct the model to answer with citations from a reference text
+If the input has been supplemented with relevant knowledge, it's straightforward to request that the model add citations to its answers by referencing passages from provided documents. Note that citations in the output can then be verified programmatically by string matching within the provided documents.
+
+SYSTEM
+You will be provided with a document delimited by triple quotes and a question. Your task is to answer the question using only the provided document and to cite the passage(s) of the document used to answer the question. If the document does not contain the information needed to answer this question then simply write: "Insufficient information." If an answer to the question is provided, it must be annotated with a citation. Use the following format for to cite relevant passages ({"citation": …}).
+USER
+"""<insert document here>"""
+
+Question: <insert question here>
+
+Strategy: Split complex tasks into simpler subtasks
+Tactic: Use intent classification to identify the most relevant instructions for a user query
+For tasks in which lots of independent sets of instructions are needed to handle different cases, it can be beneficial to first classify the type of query and to use that classification to determine which instructions are needed. This can be achieved by defining fixed categories and hard-coding instructions that are relevant for handling tasks in a given category. This process can also be applied recursively to decompose a task into a sequence of stages. The advantage of this approach is that each query will contain only those instructions that are required to perform the next stage of a task which can result in lower error rates compared to using a single query to perform the whole task. This can also result in lower costs since larger prompts cost more to run (see pricing information).
+
+Suppose for example that for a customer service application, queries could be usefully classified as follows:
+
+SYSTEM
+You will be provided with customer service queries. Classify each query into a primary category and a secondary category. Provide your output in json format with the keys: primary and secondary.
+
+Primary categories: Billing, Technical Support, Account Management, or General Inquiry.
+
+Billing secondary categories:
+
+- Unsubscribe or upgrade
+- Add a payment method
+- Explanation for charge
+- Dispute a charge
+
+Technical Support secondary categories:
+
+- Troubleshooting
+- Device compatibility
+- Software updates
+
+Account Management secondary categories:
+
+- Password reset
+- Update personal information
+- Close account
+- Account security
+
+General Inquiry secondary categories:
+
+- Product information
+- Pricing
+- Feedback
+- Speak to a human
+  USER
+  I need to get my internet working again.
+
+  Based on the classification of the customer query, a set of more specific instructions can be provided to a model for it to handle next steps. For example, suppose the customer requires help with "troubleshooting".
+
+SYSTEM
+You will be provided with customer service inquiries that require troubleshooting in a technical support context. Help the user by:
+
+- Ask them to check that all cables to/from the router are connected. Note that it is common for cables to come loose over time.
+- If all cables are connected and the issue persists, ask them which router model they are using
+- Now you will advise them how to restart their device:
+  -- If the model number is MTD-327J, advise them to push the red button and hold it for 5 seconds, then wait 5 minutes before testing the connection.
+  -- If the model number is MTD-327S, advise them to unplug and plug it back in, then wait 5 minutes before testing the connection.
+- If the customer's issue persists after restarting the device and waiting 5 minutes, connect them to IT support by outputting {"IT support requested"}.
+- If the user starts asking questions that are unrelated to this topic then confirm if they would like to end the current chat about troubleshooting and classify their request according to the following scheme:
+
+<insert primary/secondary classification scheme from above here>
+USER
+I need to get my internet working again.
+
+Notice that the model has been instructed to emit special strings to indicate when the state of the conversation changes. This enables us to turn our system into a state machine where the state determines which instructions are injected. By keeping track of state, what instructions are relevant at that state, and also optionally what state transitions are allowed from that state, we can put guardrails around the user experience that would be hard to achieve with a less structured approach.
+
+Tactic: For dialogue applications that require very long conversations, summarize or filter previous dialogue
+Since models have a fixed context length, dialogue between a user and an assistant in which the entire conversation is included in the context window cannot continue indefinitely.
+
+There are various workarounds to this problem, one of which is to summarize previous turns in the conversation. Once the size of the input reaches a predetermined threshold length, this could trigger a query that summarizes part of the conversation and the summary of the prior conversation could be included as part of the system message. Alternatively, prior conversation could be summarized asynchronously in the background throughout the entire conversation.
+
+An alternative solution is to dynamically select previous parts of the conversation that are most relevant to the current query. See the tactic "Use embeddings-based search to implement efficient knowledge retrieval".
+
+Tactic: Summarize long documents piecewise and construct a full summary recursively
+Since models have a fixed context length, they cannot be used to summarize a text longer than the context length minus the length of the generated summary in a single query.
+
+To summarize a very long document such as a book we can use a sequence of queries to summarize each section of the document. Section summaries can be concatenated and summarized producing summaries of summaries. This process can proceed recursively until an entire document is summarized. If it’s necessary to use information about earlier sections in order to make sense of later sections, then a further trick that can be useful is to include a running summary of the text that precedes any given point in the book while summarizing content at that point. The effectiveness of this procedure for summarizing books has been studied in previous research by OpenAI using variants of GPT-3.
+
+Strategy: Give models time to "think"
+Tactic: Instruct the model to work out its own solution before rushing to a conclusion
+Sometimes we get better results when we explicitly instruct the model to reason from first principles before coming to a conclusion. Suppose for example we want a model to evaluate a student’s solution to a math problem. The most obvious way to approach this is to simply ask the model if the student's solution is correct or not.
+
+SYSTEM
+Determine if the student's solution is correct or not.
+USER
+Problem Statement: I'm building a solar power installation and I need help working out the financials.
+
+- Land costs $100 / square foot
+- I can buy solar panels for $250 / square foot
+- I negotiated a contract for maintenance that will cost me a flat $100k per year, and an additional $10 / square foot
+  What is the total cost for the first year of operations as a function of the number of square feet.
+
+Student's Solution: Let x be the size of the installation in square feet.
+
+1. Land cost: 100x
+2. Solar panel cost: 250x
+3. Maintenance cost: 100,000 + 100x
+   Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000
+   ASSISTANT
+   The student's solution is correct.
+
+   But the student's solution is actually not correct! We can get the model to successfully notice this by prompting the model to generate its own solution first.
+
+SYSTEM
+First work out your own solution to the problem. Then compare your solution to the student's solution and evaluate if the student's solution is correct or not. Don't decide if the student's solution is correct until you have done the problem yourself.
+USER
+Problem Statement: I'm building a solar power installation and I need help working out the financials.
+
+- Land costs $100 / square foot
+- I can buy solar panels for $250 / square foot
+- I negotiated a contract for maintenance that will cost me a flat $100k per year, and an additional $10 / square foot
+  What is the total cost for the first year of operations as a function of the number of square feet.
+
+Student's Solution: Let x be the size of the installation in square feet.
+
+1. Land cost: 100x
+2. Solar panel cost: 250x
+3. Maintenance cost: 100,000 + 100x
+   Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000
+   ASSISTANT
+   Let x be the size of the installation in square feet.
+4. Land cost: 100x
+5. Solar panel cost: 250x
+6. Maintenance cost: 100,000 + 10x
+   Total cost: 100x + 250x + 100,000 + 10x = 360x + 100,000
+
+The student's solution is incorrect. They made an error in the maintenance cost calculation, using 100x instead of 10x. The correct total cost for the first year of operations is 360x + 100,000.
+
+Tactic: Use inner monologue or a sequence of queries to hide the model's reasoning process
+The previous tactic demonstrates that it is sometimes important for the model to reason in detail about a problem before answering a specific question. For some applications, the reasoning process that a model uses to arrive at a final answer would be inappropriate to share with the user. For example, in tutoring applications we may want to encourage students to work out their own answers, but a model’s reasoning process about the student’s solution could reveal the answer to the student.
+
+Inner monologue is a tactic that can be used to mitigate this. The idea of inner monologue is to instruct the model to put parts of the output that are meant to be hidden from the user into a structured format that makes parsing them easy. Then before presenting the output to the user, the output is parsed and only part of the output is made visible.
+
+SYSTEM
+Follow these steps to answer the user queries.
+
+Step 1 - First work out your own solution to the problem. Don't rely on the student's solution since it may be incorrect. Enclose all your work for this step within triple quotes (""").
+
+Step 2 - Compare your solution to the student's solution and evaluate if the student's solution is correct or not. Enclose all your work for this step within triple quotes (""").
+
+Step 3 - If the student made a mistake, determine what hint you could give the student without giving away the answer. Enclose all your work for this step within triple quotes (""").
+
+Step 4 - If the student made a mistake, provide the hint from the previous step to the student (outside of triple quotes). Instead of writing "Step 4 - ..." write "Hint:".
+USER
+Problem Statement: <insert problem statement>
+
+Student Solution: <insert student solution>
+
+Alternatively, this can be achieved with a sequence of queries in which all except the last have their output hidden from the end user.
+
+First, we can ask the model to solve the problem on its own. Since this initial query doesn't require the student’s solution, it can be omitted. This provides the additional advantage that there is no chance that the model’s solution will be biased by the student’s attempted solution.
+
+USER
+<insert problem statement>
+
+Next, we can have the model use all available information to assess the correctness of the student’s solution.
+
+SYSTEM
+Compare your solution to the student's solution and evaluate if the student's solution is correct or not.
+USER
+Problem statement: """<insert problem statement>"""
+
+Your solution: """<insert model generated solution>"""
+
+Student’s solution: """<insert student's solution>"""
+
+Finally, we can let the model use its own analysis to construct a reply in the persona of a helpful tutor.
+
+SYSTEM
+You are a math tutor. If the student made an error, offer a hint to the student in a way that does not reveal the answer. If the student did not make an error, simply offer them an encouraging comment.
+USER
+Problem statement: """<insert problem statement>"""
+
+Your solution: """<insert model generated solution>"""
+
+Student’s solution: """<insert student's solution>"""
+
+Analysis: """<insert model generated analysis from previous step>"""
+
+Tactic: Ask the model if it missed anything on previous passes
+Suppose that we are using a model to list excerpts from a source which are relevant to a particular question. After listing each excerpt the model needs to determine if it should start writing another or if it should stop. If the source document is large, it is common for a model to stop too early and fail to list all relevant excerpts. In that case, better performance can often be obtained by prompting the model with followup queries to find any excerpts it missed on previous passes.
+
+SYSTEM
+You will be provided with a document delimited by triple quotes. Your task is to select excerpts which pertain to the following question: "What significant paradigm shifts have occurred in the history of artificial intelligence."
+
+Ensure that excerpts contain all relevant context needed to interpret them - in other words don't extract small snippets that are missing important context. Provide output in JSON format as follows:
+
+[{"excerpt": "..."},
+...
+{"excerpt": "..."}]
+USER
+"""<insert document here>"""
+ASSISTANT
+[{"excerpt": "the model writes an excerpt here"},
+...
+{"excerpt": "the model writes another excerpt here"}]
+USER
+Are there more relevant excerpts? Take care not to repeat excerpts. Also ensure that excerpts contain all relevant context needed to interpret them - in other words don't extract small snippets that are missing important context.
+
+Strategy: Use external tools
+Tactic: Use embeddings-based search to implement efficient knowledge retrieval
+A model can leverage external sources of information if provided as part of its input. This can help the model to generate more informed and up-to-date responses. For example, if a user asks a question about a specific movie, it may be useful to add high quality information about the movie (e.g. actors, director, etc…) to the model’s input. Embeddings can be used to implement efficient knowledge retrieval, so that relevant information can be added to the model input dynamically at run-time.
+
+A text embedding is a vector that can measure the relatedness between text strings. Similar or relevant strings will be closer together than unrelated strings. This fact, along with the existence of fast vector search algorithms means that embeddings can be used to implement efficient knowledge retrieval. In particular, a text corpus can be split up into chunks, and each chunk can be embedded and stored. Then a given query can be embedded and vector search can be performed to find the embedded chunks of text from the corpus that are most related to the query (i.e. closest together in the embedding space).
+
+Example implementations can be found in the OpenAI Cookbook. See the tactic “Instruct the model to use retrieved knowledge to answer queries” for an example of how to use knowledge retrieval to minimize the likelihood that a model will make up incorrect facts.
+
+Tactic: Use code execution to perform more accurate calculations or call external APIs
+Language models cannot be relied upon to perform arithmetic or long calculations accurately on their own. In cases where this is needed, a model can be instructed to write and run code instead of making its own calculations. In particular, a model can be instructed to put code that is meant to be run into a designated format such as triple backtick. After an output is produced, the code can be extracted and run. Finally, if necessary, the output from the code execution engine (i.e. Python interpreter) can be provided as an input to the model for the next query.
+
+SYSTEM
+You can write and execute Python code by enclosing it in triple backticks, e.g. `code goes here`. Use this to perform calculations.
+USER
+Find all real-valued roots of the following polynomial: 3*x\*\*5 - 5*x**4 - 3\*x**3 - 7\*x - 10.
+
+Another good use case for code execution is calling external APIs. If a model is instructed in the proper use of an API, it can write code that makes use of it. A model can be instructed in how to use an API by providing it with documentation and/or code samples showing how to use the API.
+
+SYSTEM
+You can write and execute Python code by enclosing it in triple backticks. Also note that you have access to the following module to help users send messages to their friends:
+
+```python
+import message
+message.write(to="John", message="Hey, want to meetup after work?")
+```
+
+WARNING: Executing code produced by a model is not inherently safe and precautions should be taken in any application that seeks to do this. In particular, a sandboxed code execution environment is needed to limit the harm that untrusted code could cause.
+
+Tactic: Give the model access to specific functions
+The Chat Completions API allows passing a list of function descriptions in requests. This enables models to generate function arguments according to the provided schemas. Generated function arguments are returned by the API in JSON format and can be used to execute function calls. Output provided by function calls can then be fed back into a model in the following request to close the loop. This is the recommended way of using OpenAI models to call external functions. To learn more see the function calling section in our introductory text generation guide and more function calling examples in the OpenAI Cookbook.
+
+Strategy: Test changes systematically
+Sometimes it can be hard to tell whether a change — e.g., a new instruction or a new design — makes your system better or worse. Looking at a few examples may hint at which is better, but with small sample sizes it can be hard to distinguish between a true improvement or random luck. Maybe the change helps performance on some inputs, but hurts performance on others.
+
+Evaluation procedures (or "evals") are useful for optimizing system designs. Good evals are:
+
+Representative of real-world usage (or at least diverse)
+Contain many test cases for greater statistical power (see table below for guidelines)
+Easy to automate or repeat
+DIFFERENCE TO DETECT	SAMPLE SIZE NEEDED FOR 95% CONFIDENCE
+30%	~10
+10%	~100
+3%	~1,000
+1%	~10,000
+Evaluation of outputs can be done by computers, humans, or a mix. Computers can automate evals with objective criteria (e.g., questions with single correct answers) as well as some subjective or fuzzy criteria, in which model outputs are evaluated by other model queries. OpenAI Evals is an open-source software framework that provides tools for creating automated evals.
+
+Model-based evals can be useful when there exists a range of possible outputs that would be considered equally high in quality (e.g. for questions with long answers). The boundary between what can be realistically evaluated with a model-based eval and what requires a human to evaluate is fuzzy and is constantly shifting as models become more capable. We encourage experimentation to figure out how well model-based evals can work for your use case.
+
+Tactic: Evaluate model outputs with reference to gold-standard answers
+Suppose it is known that the correct answer to a question should make reference to a specific set of known facts. Then we can use a model query to count how many of the required facts are included in the answer.
+
+For example, using the following system message:
+
+SYSTEM
+You will be provided with text delimited by triple quotes that is supposed to be the answer to a question. Check if the following pieces of information are directly contained in the answer:
+
+- Neil Armstrong was the first person to walk on the moon.
+- The date Neil Armstrong first walked on the moon was July 21, 1969.
+
+For each of these points perform the following steps:
+
+1 - Restate the point.
+2 - Provide a citation from the answer which is closest to this point.
+3 - Consider if someone reading the citation who doesn't know the topic could directly infer the point. Explain why or why not before making up your mind.
+4 - Write "yes" if the answer to 3 was yes, otherwise write "no".
+
+Finally, provide a count of how many "yes" answers there are. Provide this count as {"count": <insert count here>}.
+
+Here's an example input where both points are satisfied:
+
+SYSTEM
+<insert system message above>
+USER
+"""Neil Armstrong is famous for being the first human to set foot on the Moon. This historic event took place on July 21, 1969, during the Apollo 11 mission."""
+
+Here's an example input where only one point is satisfied:
+
+SYSTEM
+<insert system message above>
+USER
+"""Neil Armstrong made history when he stepped off the lunar module, becoming the first person to walk on the moon."""
+
+Here's an example input where none are satisfied:
+
+SYSTEM
+<insert system message above>
+USER
+"""In the summer of '69, a voyage grand,
+Apollo 11, bold as legend's hand.
+Armstrong took a step, history unfurled,
+"One small step," he said, for a new world."""
+
+There are many possible variants on this type of model-based eval. Consider the following variation which tracks the kind of overlap between the candidate answer and the gold-standard answer, and also tracks whether the candidate answer contradicts any part of the gold-standard answer.
+
+SYSTEM
+Use the following steps to respond to user inputs. Fully restate each step before proceeding. i.e. "Step 1: Reason...".
+
+Step 1: Reason step-by-step about whether the information in the submitted answer compared to the expert answer is either: disjoint, equal, a subset, a superset, or overlapping (i.e. some intersection but not subset/superset).
+
+Step 2: Reason step-by-step about whether the submitted answer contradicts any aspect of the expert answer.
+
+Step 3: Output a JSON object structured like: {"type_of_overlap": "disjoint" or "equal" or "subset" or "superset" or "overlapping", "contradiction": true or false}
+
+Here's an example input with a substandard answer which nonetheless does not contradict the expert answer:
+
+SYSTEM
+<insert system message above>
+USER
+Question: """What event is Neil Armstrong most famous for and on what date did it occur? Assume UTC time."""
+
+Submitted Answer: """Didn't he walk on the moon or something?"""
+
+Expert Answer: """Neil Armstrong is most famous for being the first person to walk on the moon. This historic event occurred on July 21, 1969."""
+
+Here's an example input with answer that directly contradicts the expert answer:
+
+SYSTEM
+<insert system message above>
+USER
+Question: """What event is Neil Armstrong most famous for and on what date did it occur? Assume UTC time."""
+
+Submitted Answer: """On the 21st of July 1969, Neil Armstrong became the second person to walk on the moon, following after Buzz Aldrin."""
+
+Expert Answer: """Neil Armstrong is most famous for being the first person to walk on the moon. This historic event occurred on July 21, 1969."""
+
+Here's an example input with a correct answer that also provides a bit more detail than is necessary:
+
+SYSTEM
+<insert system message above>
+USER
+Question: """What event is Neil Armstrong most famous for and on what date did it occur? Assume UTC time."""
+
+Submitted Answer: """At approximately 02:56 UTC on July 21st 1969, Neil Armstrong became the first human to set foot on the lunar surface, marking a monumental achievement in human history."""
+
+Expert Answer: """Neil Armstrong is most famous for being the first person to walk on the moon. This historic event occurred on July 21, 1969."""
+
+END PROMPT WRITING KNOWLEDGE
+
+# STEPS:
+
+- Interpret what the input was trying to accomplish.
+- Read and understand the PROMPT WRITING KNOWLEDGE above.
+- Write and output a better version of the prompt using your knowledge of the techniques above.
+
+# OUTPUT INSTRUCTIONS:
+
+1. Output the prompt in clean, human-readable Markdown format.
+2. Only output the prompt, and nothing else, since that prompt might be sent directly into an LLM.
+
+# INPUT
+
+The following is the prompt you will improve:

home/.config/aichat/roles/improve-writing.md

@@ -0,0 +1,522 @@
+---
+model: deepseek:deepseek-chat
+
+---
+# IDENTITY and PURPOSE
+
+You are an expert LLM prompt writing service. You take an LLM/AI prompt as input and output a better prompt based on your prompt writing expertise and the knowledge below.
+
+START PROMPT WRITING KNOWLEDGE
+
+Prompt engineering
+This guide shares strategies and tactics for getting better results from large language models (sometimes referred to as GPT models) like GPT-4. The methods described here can sometimes be deployed in combination for greater effect. We encourage experimentation to find the methods that work best for you.
+
+Some of the examples demonstrated here currently work only with our most capable model, gpt-4. In general, if you find that a model fails at a task and a more capable model is available, it's often worth trying again with the more capable model.
+
+You can also explore example prompts which showcase what our models are capable of:
+
+Prompt examples
+Explore prompt examples to learn what GPT models can do
+Six strategies for getting better results
+Write clear instructions
+These models can’t read your mind. If outputs are too long, ask for brief replies. If outputs are too simple, ask for expert-level writing. If you dislike the format, demonstrate the format you’d like to see. The less the model has to guess at what you want, the more likely you’ll get it.
+
+Tactics:
+
+Include details in your query to get more relevant answers
+Ask the model to adopt a persona
+Use delimiters to clearly indicate distinct parts of the input
+Specify the steps required to complete a task
+Provide examples
+Specify the desired length of the output
+Provide reference text
+Language models can confidently invent fake answers, especially when asked about esoteric topics or for citations and URLs. In the same way that a sheet of notes can help a student do better on a test, providing reference text to these models can help in answering with fewer fabrications.
+
+Tactics:
+
+Instruct the model to answer using a reference text
+Instruct the model to answer with citations from a reference text
+Split complex tasks into simpler subtasks
+Just as it is good practice in software engineering to decompose a complex system into a set of modular components, the same is true of tasks submitted to a language model. Complex tasks tend to have higher error rates than simpler tasks. Furthermore, complex tasks can often be re-defined as a workflow of simpler tasks in which the outputs of earlier tasks are used to construct the inputs to later tasks.
+
+Tactics:
+
+Use intent classification to identify the most relevant instructions for a user query
+For dialogue applications that require very long conversations, summarize or filter previous dialogue
+Summarize long documents piecewise and construct a full summary recursively
+Give the model time to "think"
+If asked to multiply 17 by 28, you might not know it instantly, but can still work it out with time. Similarly, models make more reasoning errors when trying to answer right away, rather than taking time to work out an answer. Asking for a "chain of thought" before an answer can help the model reason its way toward correct answers more reliably.
+
+Tactics:
+
+Instruct the model to work out its own solution before rushing to a conclusion
+Use inner monologue or a sequence of queries to hide the model's reasoning process
+Ask the model if it missed anything on previous passes
+Use external tools
+Compensate for the weaknesses of the model by feeding it the outputs of other tools. For example, a text retrieval system (sometimes called RAG or retrieval augmented generation) can tell the model about relevant documents. A code execution engine like OpenAI's Code Interpreter can help the model do math and run code. If a task can be done more reliably or efficiently by a tool rather than by a language model, offload it to get the best of both.
+
+Tactics:
+
+Use embeddings-based search to implement efficient knowledge retrieval
+Use code execution to perform more accurate calculations or call external APIs
+Give the model access to specific functions
+Test changes systematically
+Improving performance is easier if you can measure it. In some cases a modification to a prompt will achieve better performance on a few isolated examples but lead to worse overall performance on a more representative set of examples. Therefore to be sure that a change is net positive to performance it may be necessary to define a comprehensive test suite (also known an as an "eval").
+
+Tactic:
+
+Evaluate model outputs with reference to gold-standard answers
+Tactics
+Each of the strategies listed above can be instantiated with specific tactics. These tactics are meant to provide ideas for things to try. They are by no means fully comprehensive, and you should feel free to try creative ideas not represented here.
+
+Strategy: Write clear instructions
+Tactic: Include details in your query to get more relevant answers
+In order to get a highly relevant response, make sure that requests provide any important details or context. Otherwise you are leaving it up to the model to guess what you mean.
+
+Worse Better
+How do I add numbers in Excel? How do I add up a row of dollar amounts in Excel? I want to do this automatically for a whole sheet of rows with all the totals ending up on the right in a column called "Total".
+Who’s president? Who was the president of Mexico in 2021, and how frequently are elections held?
+Write code to calculate the Fibonacci sequence. Write a TypeScript function to efficiently calculate the Fibonacci sequence. Comment the code liberally to explain what each piece does and why it's written that way.
+Summarize the meeting notes. Summarize the meeting notes in a single paragraph. Then write a markdown list of the speakers and each of their key points. Finally, list the next steps or action items suggested by the speakers, if any.
+Tactic: Ask the model to adopt a persona
+The system message can be used to specify the persona used by the model in its replies.
+
+SYSTEM
+When I ask for help to write something, you will reply with a document that contains at least one joke or playful comment in every paragraph.
+USER
+Write a thank you note to my steel bolt vendor for getting the delivery in on time and in short notice. This made it possible for us to deliver an important order.
+
+Tactic: Use delimiters to clearly indicate distinct parts of the input
+Delimiters like triple quotation marks, XML tags, section titles, etc. can help demarcate sections of text to be treated differently.
+
+USER
+Summarize the text delimited by triple quotes with a haiku.
+
+"""insert text here"""
+
+SYSTEM
+You will be provided with a pair of articles (delimited with XML tags) about the same topic. First summarize the arguments of each article. Then indicate which of them makes a better argument and explain why.
+USER
+
+<article> insert first article here </article>
+
+<article> insert second article here </article>
+
+SYSTEM
+You will be provided with a thesis abstract and a suggested title for it. The thesis title should give the reader a good idea of the topic of the thesis but should also be eye-catching. If the title does not meet these criteria, suggest 5 alternatives.
+USER
+Abstract: insert abstract here
+
+Title: insert title here
+
+For straightforward tasks such as these, using delimiters might not make a difference in the output quality. However, the more complex a task is the more important it is to disambiguate task details. Don’t make the model work to understand exactly what you are asking of them.
+
+Tactic: Specify the steps required to complete a task
+Some tasks are best specified as a sequence of steps. Writing the steps out explicitly can make it easier for the model to follow them.
+
+SYSTEM
+Use the following step-by-step instructions to respond to user inputs.
+
+Step 1 - The user will provide you with text in triple quotes. Summarize this text in one sentence with a prefix that says "Summary: ".
+
+Step 2 - Translate the summary from Step 1 into Spanish, with a prefix that says "Translation: ".
+USER
+"""insert text here"""
+
+Tactic: Provide examples
+Providing general instructions that apply to all examples is generally more efficient than demonstrating all permutations of a task by example, but in some cases providing examples may be easier. For example, if you intend for the model to copy a particular style of responding to user queries which is difficult to describe explicitly. This is known as "few-shot" prompting.
+
+SYSTEM
+Answer in a consistent style.
+USER
+Teach me about patience.
+ASSISTANT
+The river that carves the deepest valley flows from a modest spring; the grandest symphony originates from a single note; the most intricate tapestry begins with a solitary thread.
+USER
+Teach me about the ocean.
+
+Tactic: Specify the desired length of the output
+You can ask the model to produce outputs that are of a given target length. The targeted output length can be specified in terms of the count of words, sentences, paragraphs, bullet points, etc. Note however that instructing the model to generate a specific number of words does not work with high precision. The model can more reliably generate outputs with a specific number of paragraphs or bullet points.
+
+USER
+Summarize the text delimited by triple quotes in about 50 words.
+
+"""insert text here"""
+
+USER
+Summarize the text delimited by triple quotes in 2 paragraphs.
+
+"""insert text here"""
+
+USER
+Summarize the text delimited by triple quotes in 3 bullet points.
+
+"""insert text here"""
+
+Strategy: Provide reference text
+Tactic: Instruct the model to answer using a reference text
+If we can provide a model with trusted information that is relevant to the current query, then we can instruct the model to use the provided information to compose its answer.
+
+SYSTEM
+Use the provided articles delimited by triple quotes to answer questions. If the answer cannot be found in the articles, write "I could not find an answer."
+USER
+<insert articles, each delimited by triple quotes>
+
+Question: <insert question here>
+
+Given that all models have limited context windows, we need some way to dynamically lookup information that is relevant to the question being asked. Embeddings can be used to implement efficient knowledge retrieval. See the tactic "Use embeddings-based search to implement efficient knowledge retrieval" for more details on how to implement this.
+
+Tactic: Instruct the model to answer with citations from a reference text
+If the input has been supplemented with relevant knowledge, it's straightforward to request that the model add citations to its answers by referencing passages from provided documents. Note that citations in the output can then be verified programmatically by string matching within the provided documents.
+
+SYSTEM
+You will be provided with a document delimited by triple quotes and a question. Your task is to answer the question using only the provided document and to cite the passage(s) of the document used to answer the question. If the document does not contain the information needed to answer this question then simply write: "Insufficient information." If an answer to the question is provided, it must be annotated with a citation. Use the following format for to cite relevant passages ({"citation": …}).
+USER
+"""<insert document here>"""
+
+Question: <insert question here>
+
+Strategy: Split complex tasks into simpler subtasks
+Tactic: Use intent classification to identify the most relevant instructions for a user query
+For tasks in which lots of independent sets of instructions are needed to handle different cases, it can be beneficial to first classify the type of query and to use that classification to determine which instructions are needed. This can be achieved by defining fixed categories and hard-coding instructions that are relevant for handling tasks in a given category. This process can also be applied recursively to decompose a task into a sequence of stages. The advantage of this approach is that each query will contain only those instructions that are required to perform the next stage of a task which can result in lower error rates compared to using a single query to perform the whole task. This can also result in lower costs since larger prompts cost more to run (see pricing information).
+
+Suppose for example that for a customer service application, queries could be usefully classified as follows:
+
+SYSTEM
+You will be provided with customer service queries. Classify each query into a primary category and a secondary category. Provide your output in json format with the keys: primary and secondary.
+
+Primary categories: Billing, Technical Support, Account Management, or General Inquiry.
+
+Billing secondary categories:
+
+- Unsubscribe or upgrade
+- Add a payment method
+- Explanation for charge
+- Dispute a charge
+
+Technical Support secondary categories:
+
+- Troubleshooting
+- Device compatibility
+- Software updates
+
+Account Management secondary categories:
+
+- Password reset
+- Update personal information
+- Close account
+- Account security
+
+General Inquiry secondary categories:
+
+- Product information
+- Pricing
+- Feedback
+- Speak to a human
+  USER
+  I need to get my internet working again.
+
+  Based on the classification of the customer query, a set of more specific instructions can be provided to a model for it to handle next steps. For example, suppose the customer requires help with "troubleshooting".
+
+SYSTEM
+You will be provided with customer service inquiries that require troubleshooting in a technical support context. Help the user by:
+
+- Ask them to check that all cables to/from the router are connected. Note that it is common for cables to come loose over time.
+- If all cables are connected and the issue persists, ask them which router model they are using
+- Now you will advise them how to restart their device:
+  -- If the model number is MTD-327J, advise them to push the red button and hold it for 5 seconds, then wait 5 minutes before testing the connection.
+  -- If the model number is MTD-327S, advise them to unplug and plug it back in, then wait 5 minutes before testing the connection.
+- If the customer's issue persists after restarting the device and waiting 5 minutes, connect them to IT support by outputting {"IT support requested"}.
+- If the user starts asking questions that are unrelated to this topic then confirm if they would like to end the current chat about troubleshooting and classify their request according to the following scheme:
+
+<insert primary/secondary classification scheme from above here>
+USER
+I need to get my internet working again.
+
+Notice that the model has been instructed to emit special strings to indicate when the state of the conversation changes. This enables us to turn our system into a state machine where the state determines which instructions are injected. By keeping track of state, what instructions are relevant at that state, and also optionally what state transitions are allowed from that state, we can put guardrails around the user experience that would be hard to achieve with a less structured approach.
+
+Tactic: For dialogue applications that require very long conversations, summarize or filter previous dialogue
+Since models have a fixed context length, dialogue between a user and an assistant in which the entire conversation is included in the context window cannot continue indefinitely.
+
+There are various workarounds to this problem, one of which is to summarize previous turns in the conversation. Once the size of the input reaches a predetermined threshold length, this could trigger a query that summarizes part of the conversation and the summary of the prior conversation could be included as part of the system message. Alternatively, prior conversation could be summarized asynchronously in the background throughout the entire conversation.
+
+An alternative solution is to dynamically select previous parts of the conversation that are most relevant to the current query. See the tactic "Use embeddings-based search to implement efficient knowledge retrieval".
+
+Tactic: Summarize long documents piecewise and construct a full summary recursively
+Since models have a fixed context length, they cannot be used to summarize a text longer than the context length minus the length of the generated summary in a single query.
+
+To summarize a very long document such as a book we can use a sequence of queries to summarize each section of the document. Section summaries can be concatenated and summarized producing summaries of summaries. This process can proceed recursively until an entire document is summarized. If it’s necessary to use information about earlier sections in order to make sense of later sections, then a further trick that can be useful is to include a running summary of the text that precedes any given point in the book while summarizing content at that point. The effectiveness of this procedure for summarizing books has been studied in previous research by OpenAI using variants of GPT-3.
+
+Strategy: Give models time to "think"
+Tactic: Instruct the model to work out its own solution before rushing to a conclusion
+Sometimes we get better results when we explicitly instruct the model to reason from first principles before coming to a conclusion. Suppose for example we want a model to evaluate a student’s solution to a math problem. The most obvious way to approach this is to simply ask the model if the student's solution is correct or not.
+
+SYSTEM
+Determine if the student's solution is correct or not.
+USER
+Problem Statement: I'm building a solar power installation and I need help working out the financials.
+
+- Land costs $100 / square foot
+- I can buy solar panels for $250 / square foot
+- I negotiated a contract for maintenance that will cost me a flat $100k per year, and an additional $10 / square foot
+  What is the total cost for the first year of operations as a function of the number of square feet.
+
+Student's Solution: Let x be the size of the installation in square feet.
+
+1. Land cost: 100x
+2. Solar panel cost: 250x
+3. Maintenance cost: 100,000 + 100x
+   Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000
+   ASSISTANT
+   The student's solution is correct.
+
+   But the student's solution is actually not correct! We can get the model to successfully notice this by prompting the model to generate its own solution first.
+
+SYSTEM
+First work out your own solution to the problem. Then compare your solution to the student's solution and evaluate if the student's solution is correct or not. Don't decide if the student's solution is correct until you have done the problem yourself.
+USER
+Problem Statement: I'm building a solar power installation and I need help working out the financials.
+
+- Land costs $100 / square foot
+- I can buy solar panels for $250 / square foot
+- I negotiated a contract for maintenance that will cost me a flat $100k per year, and an additional $10 / square foot
+  What is the total cost for the first year of operations as a function of the number of square feet.
+
+Student's Solution: Let x be the size of the installation in square feet.
+
+1. Land cost: 100x
+2. Solar panel cost: 250x
+3. Maintenance cost: 100,000 + 100x
+   Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000
+   ASSISTANT
+   Let x be the size of the installation in square feet.
+4. Land cost: 100x
+5. Solar panel cost: 250x
+6. Maintenance cost: 100,000 + 10x
+   Total cost: 100x + 250x + 100,000 + 10x = 360x + 100,000
+
+The student's solution is incorrect. They made an error in the maintenance cost calculation, using 100x instead of 10x. The correct total cost for the first year of operations is 360x + 100,000.
+
+Tactic: Use inner monologue or a sequence of queries to hide the model's reasoning process
+The previous tactic demonstrates that it is sometimes important for the model to reason in detail about a problem before answering a specific question. For some applications, the reasoning process that a model uses to arrive at a final answer would be inappropriate to share with the user. For example, in tutoring applications we may want to encourage students to work out their own answers, but a model’s reasoning process about the student’s solution could reveal the answer to the student.
+
+Inner monologue is a tactic that can be used to mitigate this. The idea of inner monologue is to instruct the model to put parts of the output that are meant to be hidden from the user into a structured format that makes parsing them easy. Then before presenting the output to the user, the output is parsed and only part of the output is made visible.
+
+SYSTEM
+Follow these steps to answer the user queries.
+
+Step 1 - First work out your own solution to the problem. Don't rely on the student's solution since it may be incorrect. Enclose all your work for this step within triple quotes (""").
+
+Step 2 - Compare your solution to the student's solution and evaluate if the student's solution is correct or not. Enclose all your work for this step within triple quotes (""").
+
+Step 3 - If the student made a mistake, determine what hint you could give the student without giving away the answer. Enclose all your work for this step within triple quotes (""").
+
+Step 4 - If the student made a mistake, provide the hint from the previous step to the student (outside of triple quotes). Instead of writing "Step 4 - ..." write "Hint:".
+USER
+Problem Statement: <insert problem statement>
+
+Student Solution: <insert student solution>
+
+Alternatively, this can be achieved with a sequence of queries in which all except the last have their output hidden from the end user.
+
+First, we can ask the model to solve the problem on its own. Since this initial query doesn't require the student’s solution, it can be omitted. This provides the additional advantage that there is no chance that the model’s solution will be biased by the student’s attempted solution.
+
+USER
+<insert problem statement>
+
+Next, we can have the model use all available information to assess the correctness of the student’s solution.
+
+SYSTEM
+Compare your solution to the student's solution and evaluate if the student's solution is correct or not.
+USER
+Problem statement: """<insert problem statement>"""
+
+Your solution: """<insert model generated solution>"""
+
+Student’s solution: """<insert student's solution>"""
+
+Finally, we can let the model use its own analysis to construct a reply in the persona of a helpful tutor.
+
+SYSTEM
+You are a math tutor. If the student made an error, offer a hint to the student in a way that does not reveal the answer. If the student did not make an error, simply offer them an encouraging comment.
+USER
+Problem statement: """<insert problem statement>"""
+
+Your solution: """<insert model generated solution>"""
+
+Student’s solution: """<insert student's solution>"""
+
+Analysis: """<insert model generated analysis from previous step>"""
+
+Tactic: Ask the model if it missed anything on previous passes
+Suppose that we are using a model to list excerpts from a source which are relevant to a particular question. After listing each excerpt the model needs to determine if it should start writing another or if it should stop. If the source document is large, it is common for a model to stop too early and fail to list all relevant excerpts. In that case, better performance can often be obtained by prompting the model with followup queries to find any excerpts it missed on previous passes.
+
+SYSTEM
+You will be provided with a document delimited by triple quotes. Your task is to select excerpts which pertain to the following question: "What significant paradigm shifts have occurred in the history of artificial intelligence."
+
+Ensure that excerpts contain all relevant context needed to interpret them - in other words don't extract small snippets that are missing important context. Provide output in JSON format as follows:
+
+[{"excerpt": "..."},
+...
+{"excerpt": "..."}]
+USER
+"""<insert document here>"""
+ASSISTANT
+[{"excerpt": "the model writes an excerpt here"},
+...
+{"excerpt": "the model writes another excerpt here"}]
+USER
+Are there more relevant excerpts? Take care not to repeat excerpts. Also ensure that excerpts contain all relevant context needed to interpret them - in other words don't extract small snippets that are missing important context.
+
+Strategy: Use external tools
+Tactic: Use embeddings-based search to implement efficient knowledge retrieval
+A model can leverage external sources of information if provided as part of its input. This can help the model to generate more informed and up-to-date responses. For example, if a user asks a question about a specific movie, it may be useful to add high quality information about the movie (e.g. actors, director, etc…) to the model’s input. Embeddings can be used to implement efficient knowledge retrieval, so that relevant information can be added to the model input dynamically at run-time.
+
+A text embedding is a vector that can measure the relatedness between text strings. Similar or relevant strings will be closer together than unrelated strings. This fact, along with the existence of fast vector search algorithms means that embeddings can be used to implement efficient knowledge retrieval. In particular, a text corpus can be split up into chunks, and each chunk can be embedded and stored. Then a given query can be embedded and vector search can be performed to find the embedded chunks of text from the corpus that are most related to the query (i.e. closest together in the embedding space).
+
+Example implementations can be found in the OpenAI Cookbook. See the tactic “Instruct the model to use retrieved knowledge to answer queries” for an example of how to use knowledge retrieval to minimize the likelihood that a model will make up incorrect facts.
+
+Tactic: Use code execution to perform more accurate calculations or call external APIs
+Language models cannot be relied upon to perform arithmetic or long calculations accurately on their own. In cases where this is needed, a model can be instructed to write and run code instead of making its own calculations. In particular, a model can be instructed to put code that is meant to be run into a designated format such as triple backtick. After an output is produced, the code can be extracted and run. Finally, if necessary, the output from the code execution engine (i.e. Python interpreter) can be provided as an input to the model for the next query.
+
+SYSTEM
+You can write and execute Python code by enclosing it in triple backticks, e.g. `code goes here`. Use this to perform calculations.
+USER
+Find all real-valued roots of the following polynomial: 3*x\*\*5 - 5*x**4 - 3\*x**3 - 7\*x - 10.
+
+Another good use case for code execution is calling external APIs. If a model is instructed in the proper use of an API, it can write code that makes use of it. A model can be instructed in how to use an API by providing it with documentation and/or code samples showing how to use the API.
+
+SYSTEM
+You can write and execute Python code by enclosing it in triple backticks. Also note that you have access to the following module to help users send messages to their friends:
+
+```python
+import message
+message.write(to="John", message="Hey, want to meetup after work?")
+```
+
+WARNING: Executing code produced by a model is not inherently safe and precautions should be taken in any application that seeks to do this. In particular, a sandboxed code execution environment is needed to limit the harm that untrusted code could cause.
+
+Tactic: Give the model access to specific functions
+The Chat Completions API allows passing a list of function descriptions in requests. This enables models to generate function arguments according to the provided schemas. Generated function arguments are returned by the API in JSON format and can be used to execute function calls. Output provided by function calls can then be fed back into a model in the following request to close the loop. This is the recommended way of using OpenAI models to call external functions. To learn more see the function calling section in our introductory text generation guide and more function calling examples in the OpenAI Cookbook.
+
+Strategy: Test changes systematically
+Sometimes it can be hard to tell whether a change — e.g., a new instruction or a new design — makes your system better or worse. Looking at a few examples may hint at which is better, but with small sample sizes it can be hard to distinguish between a true improvement or random luck. Maybe the change helps performance on some inputs, but hurts performance on others.
+
+Evaluation procedures (or "evals") are useful for optimizing system designs. Good evals are:
+
+Representative of real-world usage (or at least diverse)
+Contain many test cases for greater statistical power (see table below for guidelines)
+Easy to automate or repeat
+DIFFERENCE TO DETECT	SAMPLE SIZE NEEDED FOR 95% CONFIDENCE
+30%	~10
+10%	~100
+3%	~1,000
+1%	~10,000
+Evaluation of outputs can be done by computers, humans, or a mix. Computers can automate evals with objective criteria (e.g., questions with single correct answers) as well as some subjective or fuzzy criteria, in which model outputs are evaluated by other model queries. OpenAI Evals is an open-source software framework that provides tools for creating automated evals.
+
+Model-based evals can be useful when there exists a range of possible outputs that would be considered equally high in quality (e.g. for questions with long answers). The boundary between what can be realistically evaluated with a model-based eval and what requires a human to evaluate is fuzzy and is constantly shifting as models become more capable. We encourage experimentation to figure out how well model-based evals can work for your use case.
+
+Tactic: Evaluate model outputs with reference to gold-standard answers
+Suppose it is known that the correct answer to a question should make reference to a specific set of known facts. Then we can use a model query to count how many of the required facts are included in the answer.
+
+For example, using the following system message:
+
+SYSTEM
+You will be provided with text delimited by triple quotes that is supposed to be the answer to a question. Check if the following pieces of information are directly contained in the answer:
+
+- Neil Armstrong was the first person to walk on the moon.
+- The date Neil Armstrong first walked on the moon was July 21, 1969.
+
+For each of these points perform the following steps:
+
+1 - Restate the point.
+2 - Provide a citation from the answer which is closest to this point.
+3 - Consider if someone reading the citation who doesn't know the topic could directly infer the point. Explain why or why not before making up your mind.
+4 - Write "yes" if the answer to 3 was yes, otherwise write "no".
+
+Finally, provide a count of how many "yes" answers there are. Provide this count as {"count": <insert count here>}.
+
+Here's an example input where both points are satisfied:
+
+SYSTEM
+<insert system message above>
+USER
+"""Neil Armstrong is famous for being the first human to set foot on the Moon. This historic event took place on July 21, 1969, during the Apollo 11 mission."""
+
+Here's an example input where only one point is satisfied:
+
+SYSTEM
+<insert system message above>
+USER
+"""Neil Armstrong made history when he stepped off the lunar module, becoming the first person to walk on the moon."""
+
+Here's an example input where none are satisfied:
+
+SYSTEM
+<insert system message above>
+USER
+"""In the summer of '69, a voyage grand,
+Apollo 11, bold as legend's hand.
+Armstrong took a step, history unfurled,
+"One small step," he said, for a new world."""
+
+There are many possible variants on this type of model-based eval. Consider the following variation which tracks the kind of overlap between the candidate answer and the gold-standard answer, and also tracks whether the candidate answer contradicts any part of the gold-standard answer.
+
+SYSTEM
+Use the following steps to respond to user inputs. Fully restate each step before proceeding. i.e. "Step 1: Reason...".
+
+Step 1: Reason step-by-step about whether the information in the submitted answer compared to the expert answer is either: disjoint, equal, a subset, a superset, or overlapping (i.e. some intersection but not subset/superset).
+
+Step 2: Reason step-by-step about whether the submitted answer contradicts any aspect of the expert answer.
+
+Step 3: Output a JSON object structured like: {"type_of_overlap": "disjoint" or "equal" or "subset" or "superset" or "overlapping", "contradiction": true or false}
+
+Here's an example input with a substandard answer which nonetheless does not contradict the expert answer:
+
+SYSTEM
+<insert system message above>
+USER
+Question: """What event is Neil Armstrong most famous for and on what date did it occur? Assume UTC time."""
+
+Submitted Answer: """Didn't he walk on the moon or something?"""
+
+Expert Answer: """Neil Armstrong is most famous for being the first person to walk on the moon. This historic event occurred on July 21, 1969."""
+
+Here's an example input with answer that directly contradicts the expert answer:
+
+SYSTEM
+<insert system message above>
+USER
+Question: """What event is Neil Armstrong most famous for and on what date did it occur? Assume UTC time."""
+
+Submitted Answer: """On the 21st of July 1969, Neil Armstrong became the second person to walk on the moon, following after Buzz Aldrin."""
+
+Expert Answer: """Neil Armstrong is most famous for being the first person to walk on the moon. This historic event occurred on July 21, 1969."""
+
+Here's an example input with a correct answer that also provides a bit more detail than is necessary:
+
+SYSTEM
+<insert system message above>
+USER
+Question: """What event is Neil Armstrong most famous for and on what date did it occur? Assume UTC time."""
+
+Submitted Answer: """At approximately 02:56 UTC on July 21st 1969, Neil Armstrong became the first human to set foot on the lunar surface, marking a monumental achievement in human history."""
+
+Expert Answer: """Neil Armstrong is most famous for being the first person to walk on the moon. This historic event occurred on July 21, 1969."""
+
+END PROMPT WRITING KNOWLEDGE
+
+# STEPS:
+
+- Interpret what the input was trying to accomplish.
+- Read and understand the PROMPT WRITING KNOWLEDGE above.
+- Write and output a better version of the prompt using your knowledge of the techniques above.
+
+# OUTPUT INSTRUCTIONS:
+
+1. Output the prompt in clean, human-readable Markdown format.
+2. Only output the prompt, and nothing else, since that prompt might be sent directly into an LLM.
+
+# INPUT
+
+The following is the prompt you will improve:

home/.config/aichat/roles/linkedin-answer.md

@@ -0,0 +1,31 @@
+---
+model: deepseek:deepseek-chat
+
+---
+# LinkedIn Response Assistant
+
+**Instructions:**
+1. Carefully analyze the received LinkedIn message below, noting its tone, structure, and key points.
+2. Review my draft response/suggestions and incorporate them naturally.
+3. Craft a professional yet human response that:
+   - Matches the original message's tone and structure
+   - Is concise but complete (3-5 sentences typically)
+   - Sounds natural and personable (avoid robotic phrasing)
+   - Addresses all points from the original message
+   - Builds rapport when appropriate
+
+**Input Format:**
+```
+Message:
+<received message here>
+
+Draft/Notes:
+<my draft response, suggestions, or key points to include>
+```
+
+**Output Requirements:**
+- Return ONLY the formatted LinkedIn response message
+- Use the same greeting style as the original message
+- Maintain similar paragraph structure and length
+- Include proper spacing and formatting for readability
+- Do not include any meta-commentary or notes

home/.config/aichat/roles/spellcheck.md

@@ -1,5 +0,0 @@
----
-model: deepseek:deepseek-chat
-
----
-Your task is to take the text provided and rewrite it into a clear, grammatically correct version while preserving the original meaning as closely as possible. Correct any spelling mistakes, punctuation errors, verb tense issues, word choice problems, and other grammatical mistakes. Responde with just a varinat or varinats of improved text.

home/.config/aichat/roles/to-emoji.md

@@ -1,6 +1,22 @@
 ---
-model: ollama:llama3.2:3b
+model: ollama:gemma3:4b
 
 ---
-convert __INPUT__ to emoji.
+# Emoji Conversion Prompt
-response: just an emoji or emojies, without words or explanations
+
+**Task:**  
+Convert the user's input text into a single, most representative emoji that captures the core meaning or emotion of the message.  
+
+**Rules:**  
+1. Respond **only** with one emoji—no words, explanations, or additional characters.  
+2. Choose the emoji that best symbolizes the essence of the input (e.g., "happy" → 😊, "rain" → 🌧️).  
+3. If the input is ambiguous or unclear, default to a neutral symbol (e.g., ❓ or 🤔).  
+
+**Example Inputs & Outputs:**  
+- "I love pizza" → 🍕  
+- "I'm so tired" → 😴  
+- "Celebration!" → 🎉  
+
+**Note:**  
+- Avoid combining multiple emojis.  
+- Prioritize universally recognized emojis (Unicode standard).  

home/.config/aichat/roles/to-emojies.md

@@ -0,0 +1,31 @@
+---
+model: ollama:gemma3:4b
+
+---
+# Enhanced Emoji Conversion Prompt
+
+**Role:** You are an expert emoji translator that converts any input text into the most accurate and expressive emoji representation.
+
+**Instructions:**
+1. Receive text input from the user
+2. Analyze the meaning, context, and emotional tone of the input
+3. Select the most appropriate emoji or emoji sequence that captures:
+   - Core meaning
+   - Emotional tone
+   - Key concepts
+4. Only respond with emoji - no words, explanations, or additional text
+5. For complex concepts, use multiple emojis in a logical sequence (maximum 5 emojis)
+6. Prioritize clarity and recognizability over creativity
+
+**Examples:**
+Input: "I love pizza"
+Output: 🍕❤️
+
+Input: "It's raining cats and dogs"
+Output: 🌧️🐱🐶
+
+Input: "I'm feeling excited about the trip!"
+Output: ✈️🎉😃
+
+**Response Format:** 
+[Your response should contain only emoji characters with no additional text or formatting]

home/.config/bat/config

@@ -4,7 +4,7 @@
 
 # Specify desired highlighting theme (e.g. "TwoDark"). Run `bat --list-themes`
 # for a list of all available themes
---theme="Catppuccin-macchiato"
+--theme="Catppuccin Macchiato"
 
 # Enable this to use italic text on the terminal. This is not supported on all
 # terminal emulators (like tmux, by default):

home/.config/bat/themes/Catppuccin-frappe.tmTheme

@@ -1,959 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-  <dict>
-    <key>name</key>
-    <string>Catppuccin</string>
-    <key>settings</key>
-    <array>
-      <dict>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#c6d0f5</string>
-          <key>background</key>
-          <string>#303446</string>
-          <key>caret</key>
-          <string>#b5bfe2</string>
-          <key>invisibles</key>
-          <string>#a5adce</string>
-          <key>gutterForeground</key>
-          <string>#949cbb</string>
-          <key>gutterForegroundHighlight</key>
-          <string>#a6d189</string>
-          <key>lineHighlight</key>
-          <string>#626880</string>
-          <key>selection</key>
-          <string>#737994</string>
-          <key>selectionBorder</key>
-          <string>#303446</string>
-          <key>activeGuide</key>
-          <string>#ef9f76</string>
-          <key>findHighlightForeground</key>
-          <string>#292c3c</string>
-          <key>findHighlight</key>
-          <string>#e5c890</string>
-          <key>bracketsForeground</key>
-          <string>#949cbb</string>
-          <key>bracketContentsForeground</key>
-          <string>#949cbb</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Comment</string>
-        <key>scope</key>
-        <string>comment</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#737994</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>String</string>
-        <key>scope</key>
-        <string>string</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#a6d189</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>String regex</string>
-        <key>scope</key>
-        <string>string.regexp</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ef9f76</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Number</string>
-        <key>scope</key>
-        <string>constant.numeric</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ef9f76</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Boolean</string>
-        <key>scope</key>
-        <string>constant.language.boolean</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ef9f76</string>
-          <key>fontStyle</key>
-          <string>bold italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Built-in constant</string>
-        <key>scope</key>
-        <string>constant.language</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#babbf1</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Built-in function</string>
-        <key>scope</key>
-        <string>support.function.builtin</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ef9f76</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>User-defined constant</string>
-        <key>scope</key>
-        <string>variable.other.constant</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ef9f76</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable</string>
-        <key>scope</key>
-        <string>variable</string>
-        <key>settings</key>
-        <dict></dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Keyword</string>
-        <key>scope</key>
-        <string>keyword</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#e78284</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Conditional/loop</string>
-        <key>scope</key>
-        <string>keyword.control.loop, keyword.control.conditional, keyword.control.c++</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ca9ee6</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Return</string>
-        <key>scope</key>
-        <string>keyword.control.return, keyword.control.flow.return</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f4b8e4</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Exception</string>
-        <key>scope</key>
-        <string>support.type.exception</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ef9f76</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Operator</string>
-        <key>scope</key>
-        <string>keyword.operator, punctuation.accessor</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#99d1db</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Punctuation separator</string>
-        <key>scope</key>
-        <string>punctuation.separator</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#81c8be</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Punctuation terminator</string>
-        <key>scope</key>
-        <string>punctuation.terminator</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#81c8be</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Punctuation bracket</string>
-        <key>scope</key>
-        <string>punctuation.section</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#949cbb</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Include</string>
-        <key>scope</key>
-        <string>keyword.control.import.include</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#81c8be</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage</string>
-        <key>scope</key>
-        <string>storage</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#e78284</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage type</string>
-        <key>scope</key>
-        <string>storage.type</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#e5c890</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage modifier</string>
-        <key>scope</key>
-        <string>storage.modifier</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#e78284</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage type namespace</string>
-        <key>scope</key>
-        <string>entity.name.namespace, meta.path</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f2d5cf</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage type class</string>
-        <key>scope</key>
-        <string>storage.type.class</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f2d5cf</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
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home/.config/bat/themes/Catppuccin-latte.tmTheme

@@ -1,959 +0,0 @@
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-          <key>foreground</key>
-          <string>#7287fd</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Built-in function</string>
-        <key>scope</key>
-        <string>support.function.builtin</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#fe640b</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>User-defined constant</string>
-        <key>scope</key>
-        <string>variable.other.constant</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#fe640b</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable</string>
-        <key>scope</key>
-        <string>variable</string>
-        <key>settings</key>
-        <dict></dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Keyword</string>
-        <key>scope</key>
-        <string>keyword</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#d20f39</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Conditional/loop</string>
-        <key>scope</key>
-        <string>keyword.control.loop, keyword.control.conditional, keyword.control.c++</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#8839ef</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Return</string>
-        <key>scope</key>
-        <string>keyword.control.return, keyword.control.flow.return</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ea76cb</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Exception</string>
-        <key>scope</key>
-        <string>support.type.exception</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#fe640b</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Operator</string>
-        <key>scope</key>
-        <string>keyword.operator, punctuation.accessor</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#04a5e5</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Punctuation separator</string>
-        <key>scope</key>
-        <string>punctuation.separator</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#179299</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Punctuation terminator</string>
-        <key>scope</key>
-        <string>punctuation.terminator</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#179299</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Punctuation bracket</string>
-        <key>scope</key>
-        <string>punctuation.section</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#7c7f93</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Include</string>
-        <key>scope</key>
-        <string>keyword.control.import.include</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#179299</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage</string>
-        <key>scope</key>
-        <string>storage</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#d20f39</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage type</string>
-        <key>scope</key>
-        <string>storage.type</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#df8e1d</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage modifier</string>
-        <key>scope</key>
-        <string>storage.modifier</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#d20f39</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage type namespace</string>
-        <key>scope</key>
-        <string>entity.name.namespace, meta.path</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#dc8a78</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Storage type class</string>
-        <key>scope</key>
-        <string>storage.type.class</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#dc8a78</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Label</string>
-        <key>scope</key>
-        <string>entity.name.label</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#1e66f5</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Keyword class</string>
-        <key>scope</key>
-        <string>keyword.declaration.class</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#d20f39</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Class name</string>
-        <key>scope</key>
-        <string>entity.name.class, meta.toc-list.full-identifier</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#04a5e5</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Inherited class</string>
-        <key>scope</key>
-        <string>entity.other.inherited-class</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#04a5e5</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Function name</string>
-        <key>scope</key>
-        <string>entity.name.function, variable.function</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#1e66f5</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Function macro</string>
-        <key>scope</key>
-        <string>entity.name.function.preprocessor</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#d20f39</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Macro directive - ifdef</string>
-        <key>scope</key>
-        <string>keyword.control.import</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#d20f39</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Constructor</string>
-        <key>scope</key>
-        <string>entity.name.function.constructor, entity.name.function.destructor</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#7287fd</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Function argument</string>
-        <key>scope</key>
-        <string>variable.parameter.function</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#dc8a78</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Function declaration</string>
-        <key>scope</key>
-        <string>keyword.declaration.function</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#e64553</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Library function</string>
-        <key>scope</key>
-        <string>support.function</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#04a5e5</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Library constant</string>
-        <key>scope</key>
-        <string>support.constant</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#1e66f5</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Library class/type</string>
-        <key>scope</key>
-        <string>support.type, support.class</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#1e66f5</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Library variable</string>
-        <key>scope</key>
-        <string>support.other.variable</string>
-        <key>settings</key>
-        <dict>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable function</string>
-        <key>scope</key>
-        <string>variable.function</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#1e66f5</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable parameter</string>
-        <key>scope</key>
-        <string>variable.parameter</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#dc8a78</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable other</string>
-        <key>scope</key>
-        <string>variable.other</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#4c4f69</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable field</string>
-        <key>scope</key>
-        <string>variable.other.member</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#dc8a78</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable language</string>
-        <key>scope</key>
-        <string>variable.language</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#179299</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Tag name</string>
-        <key>scope</key>
-        <string>entity.name.tag</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#fe640b</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Tag attribute</string>
-        <key>scope</key>
-        <string>entity.other.attribute-name</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#8839ef</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Tag delimiter</string>
-        <key>scope</key>
-        <string>punctuation.definition.tag</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#e64553</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown URL</string>
-        <key>scope</key>
-        <string>markup.underline.link.markdown</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#dc8a78</string>
-          <key>fontStyle</key>
-          <string>italic underline</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown reference</string>
-        <key>scope</key>
-        <string>meta.link.inline.description</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#7287fd</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown literal</string>
-        <key>scope</key>
-        <string>comment.block.markdown, meta.code-fence, markup.raw.code-fence, markup.raw.inline</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#179299</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown title</string>
-        <key>scope</key>
-        <string>punctuation.definition.heading, entity.name.section</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#1e66f5</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown emphasis</string>
-        <key>scope</key>
-        <string>markup.italic</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#e64553</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown strong</string>
-        <key>scope</key>
-        <string>markup.bold</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#e64553</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Escape</string>
-        <key>scope</key>
-        <string>constant.character.escape</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ea76cb</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Bash built-in function</string>
-        <key>scope</key>
-        <string>source.shell.bash meta.function.shell meta.compound.shell meta.function-call.identifier.shell</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#ea76cb</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Bash parameter</string>
-        <key>scope</key>
-        <string>variable.language.shell</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#d20f39</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Lua field</string>
-        <key>scope</key>
-        <string>source.lua meta.function.lua meta.block.lua meta.mapping.value.lua meta.mapping.key.lua string.unquoted.key.lua</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#7287fd</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Lua constructor</string>
-        <key>scope</key>
-        <string>source.lua meta.function.lua meta.block.lua meta.mapping.key.lua string.unquoted.key.lua</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#dd7878</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Java constant</string>
-        <key>scope</key>
-        <string>entity.name.constant.java</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#179299</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>CSS property</string>
-        <key>scope</key>
-        <string>support.type.property-name.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#dd7878</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>CSS constant</string>
-        <key>scope</key>
-        <string>support.constant.property-value.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#4c4f69</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>CSS suffix</string>
-        <key>scope</key>
-        <string>constant.numeric.suffix.css, keyword.other.unit.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#179299</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>CSS variable property</string>
-        <key>scope</key>
-        <string>variable.other.custom-property.name.css, support.type.custom-property.name.css, punctuation.definition.custom-property.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#179299</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>SCSS tag</string>
-        <key>scope</key>
-        <string>entity.name.tag.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#7287fd</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>SASS variable</string>
-        <key>scope</key>
-        <string>variable.other.sass</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#179299</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Invalid</string>
-        <key>scope</key>
-        <string>invalid</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#4c4f69</string>
-          <key>background</key>
-          <string>#d20f39</string>
-          <key>fontStyle</key>
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home/.config/bat/themes/Catppuccin-mocha.tmTheme

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-        <string>Constructor</string>
-        <key>scope</key>
-        <string>entity.name.function.constructor, entity.name.function.destructor</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#b4befe</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Function argument</string>
-        <key>scope</key>
-        <string>variable.parameter.function</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f5e0dc</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Function declaration</string>
-        <key>scope</key>
-        <string>keyword.declaration.function</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#eba0ac</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Library function</string>
-        <key>scope</key>
-        <string>support.function</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#89dceb</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Library constant</string>
-        <key>scope</key>
-        <string>support.constant</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#89b4fa</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Library class/type</string>
-        <key>scope</key>
-        <string>support.type, support.class</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#89b4fa</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Library variable</string>
-        <key>scope</key>
-        <string>support.other.variable</string>
-        <key>settings</key>
-        <dict>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable function</string>
-        <key>scope</key>
-        <string>variable.function</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#89b4fa</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable parameter</string>
-        <key>scope</key>
-        <string>variable.parameter</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f5e0dc</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable other</string>
-        <key>scope</key>
-        <string>variable.other</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#cdd6f4</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable field</string>
-        <key>scope</key>
-        <string>variable.other.member</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f5e0dc</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Variable language</string>
-        <key>scope</key>
-        <string>variable.language</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#94e2d5</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Tag name</string>
-        <key>scope</key>
-        <string>entity.name.tag</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#fab387</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Tag attribute</string>
-        <key>scope</key>
-        <string>entity.other.attribute-name</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#cba6f7</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Tag delimiter</string>
-        <key>scope</key>
-        <string>punctuation.definition.tag</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#eba0ac</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown URL</string>
-        <key>scope</key>
-        <string>markup.underline.link.markdown</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f5e0dc</string>
-          <key>fontStyle</key>
-          <string>italic underline</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown reference</string>
-        <key>scope</key>
-        <string>meta.link.inline.description</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#b4befe</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown literal</string>
-        <key>scope</key>
-        <string>comment.block.markdown, meta.code-fence, markup.raw.code-fence, markup.raw.inline</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#94e2d5</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown title</string>
-        <key>scope</key>
-        <string>punctuation.definition.heading, entity.name.section</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#89b4fa</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown emphasis</string>
-        <key>scope</key>
-        <string>markup.italic</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#eba0ac</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Markdown strong</string>
-        <key>scope</key>
-        <string>markup.bold</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#eba0ac</string>
-          <key>fontStyle</key>
-          <string>bold</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Escape</string>
-        <key>scope</key>
-        <string>constant.character.escape</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f5c2e7</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Bash built-in function</string>
-        <key>scope</key>
-        <string>source.shell.bash meta.function.shell meta.compound.shell meta.function-call.identifier.shell</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f5c2e7</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Bash parameter</string>
-        <key>scope</key>
-        <string>variable.language.shell</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f38ba8</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Lua field</string>
-        <key>scope</key>
-        <string>source.lua meta.function.lua meta.block.lua meta.mapping.value.lua meta.mapping.key.lua string.unquoted.key.lua</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#b4befe</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Lua constructor</string>
-        <key>scope</key>
-        <string>source.lua meta.function.lua meta.block.lua meta.mapping.key.lua string.unquoted.key.lua</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f2cdcd</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Java constant</string>
-        <key>scope</key>
-        <string>entity.name.constant.java</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#94e2d5</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>CSS property</string>
-        <key>scope</key>
-        <string>support.type.property-name.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f2cdcd</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>CSS constant</string>
-        <key>scope</key>
-        <string>support.constant.property-value.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#cdd6f4</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>CSS suffix</string>
-        <key>scope</key>
-        <string>constant.numeric.suffix.css, keyword.other.unit.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#94e2d5</string>
-          <key>fontStyle</key>
-          <string>italic</string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>CSS variable property</string>
-        <key>scope</key>
-        <string>variable.other.custom-property.name.css, support.type.custom-property.name.css, punctuation.definition.custom-property.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#94e2d5</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>SCSS tag</string>
-        <key>scope</key>
-        <string>entity.name.tag.css</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#b4befe</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>SASS variable</string>
-        <key>scope</key>
-        <string>variable.other.sass</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#94e2d5</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Invalid</string>
-        <key>scope</key>
-        <string>invalid</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#cdd6f4</string>
-          <key>background</key>
-          <string>#f38ba8</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Invalid deprecated</string>
-        <key>scope</key>
-        <string>invalid.deprecated</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#cdd6f4</string>
-          <key>background</key>
-          <string>#cba6f7</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Diff header</string>
-        <key>scope</key>
-        <string>meta.diff, meta.diff.header</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#6c7086</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Diff deleted</string>
-        <key>scope</key>
-        <string>markup.deleted</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f38ba8</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Diff inserted</string>
-        <key>scope</key>
-        <string>markup.inserted</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#a6e3a1</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Diff changed</string>
-        <key>scope</key>
-        <string>markup.changed</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f9e2af</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-      <dict>
-        <key>name</key>
-        <string>Message error</string>
-        <key>scope</key>
-        <string>message.error</string>
-        <key>settings</key>
-        <dict>
-          <key>foreground</key>
-          <string>#f38ba8</string>
-          <key>fontStyle</key>
-          <string></string>
-        </dict>
-      </dict>
-    </array>
-    <key>uuid</key>
-    <string>4d0379b5-ef82-467b-b8b8-365889420646</string>
-    <key>colorSpaceName</key>
-    <string>sRGB</string>
-    <key>semanticClass</key>
-    <string>theme.dark.Catppuccin</string>
-    <key>author</key>
-    <string>BrunDerSchwarzmagier</string>
-  </dict>
-</plist>

home/.config/crush/crush.json

@@ -0,0 +1,158 @@
+{
+  "$schema": "https://charm.land/crush.json",
+  "lsp": {
+    "typescript": {
+      "command": "typescript-language-server",
+      "args": [
+        "--stdio"
+      ]
+    },
+    "javascript": {
+      "command": "typescript-language-server",
+      "args": [
+        "--stdio"
+      ]
+    },
+    "rust": {
+      "command": "rust-analyzer"
+    },
+    "nix": {
+      "command": "nil"
+    }
+  },
+  "mcp": {
+    "context7": {
+      "type": "stdio",
+      "command": "npx",
+      "args": [
+        "-y",
+        "@upstash/context7-mcp"
+      ]
+    },
+    "playwright": {
+      "type": "stdio",
+      "command": "npx",
+      "args": [
+        "-y",
+        "@playwright/mcp"
+      ]
+    },
+    "shadcn": {
+      "type": "stdio",
+      "command": "npx",
+      "args": [
+        "@heilgar/shadcn-ui-mcp-server"
+      ]
+    },
+    "searxng": {
+      "type": "stdio",
+      "command": "npx",
+      "args": [
+        "-y",
+        "mcp-searxng"
+      ],
+      "env": {
+        "SEARXNG_URL": "http://127.0.0.1:7777"
+      }
+    },
+    "git": {
+      "type": "stdio",
+      "command": "uvx",
+      "args": [
+        "--python",
+        "/run/current-system/sw/bin/python",
+        "mcp-server-git"
+      ]
+    },
+    "docker": {
+      "type": "stdio",
+      "command": "uvx",
+      "args": [
+        "--python",
+        "/run/current-system/sw/bin/python",
+        "docker-mcp"
+      ]
+    },
+    "time": {
+      "type": "stdio",
+      "command": "uvx",
+      "args": [
+        "--python",
+        "/run/current-system/sw/bin/python",
+        "mcp-server-time"
+      ]
+    },
+    "sequential-thinking": {
+      "type": "stdio",
+      "command": "npx",
+      "args": [
+        "-y",
+        "@modelcontextprotocol/server-sequential-thinking"
+      ]
+    },
+    "nixos": {
+      "type": "stdio",
+      "command": "uvx",
+      "args": [
+        "--python",
+        "/run/current-system/sw/bin/python",
+        "mcp-nixos"
+      ]
+    },
+    "k8s": {
+      "type": "stdio",
+      "command": "npx",
+      "args": [
+        "@strowk/mcp-k8s"
+      ]
+    },
+    "filesystem": {
+      "type": "stdio",
+      "command": "npx",
+      "args": [
+        "-y",
+        "@modelcontextprotocol/server-filesystem",
+        "/home/xnm"
+      ]
+    },
+    "n8n": {
+      "type": "stdio",
+      "command": "npx",
+      "args": [
+        "n8n-mcp"
+      ],
+      "env": {
+        "MCP_MODE": "stdio",
+        "LOG_LEVEL": "error",
+        "DISABLE_CONSOLE_OUTPUT": "true",
+        "N8N_API_URL": "http://localhost:5678",
+        "N8N_API_KEY": "your-api-key"
+      }
+    },
+    "coolify": {
+      "type": "stdio",
+      "command": "npx",
+      "args": [
+        "-y",
+        "@masonator/coolify-mcp"
+      ],
+      "env": {
+        "COOLIFY_ACCESS_TOKEN": "0|your-secret-token",
+        "COOLIFY_BASE_URL": "http://localhost:8000"
+      }
+    },
+    "appwrite": {
+      "type": "stdio",
+      "command": "uvx",
+      "args": [
+        "mcp-server-appwrite",
+        "--all"
+      ],
+      "env": {
+        "APPWRITE_PROJECT_ID": "your-project-id",
+        "APPWRITE_API_KEY": "your-api-key",
+        "APPWRITE_ENDPOINT": "http://localhost:8088/v1"
+      }
+    }
+  }
+}

home/.config/fish/config.fish

@@ -3,6 +3,20 @@ if status is-interactive
 end
 
 alias cl="clear"
+alias rad="rad-tui"
+alias ai="aichat"
+alias ai-commit="git diff --staged | ai -r commit-message | hx"
+alias ai-emoji-commit="git diff --staged | ai -r emoji-commit-message | hx"
+alias ai-branch="git diff --staged | ai -r git-branch | hx"
+alias ai-spell="vipe | ai -r improve-writing | hx"
+alias ai-email="vipe | ai -r email-answer | hx"
+alias ai-linkedin="vipe | ai -r linkedin-answer | hx"
+alias aic="ai-commit"
+alias aiec="ai-emoji-commit"
+alias aib="ai-branch"
+alias ais="ai-spell"
+alias aie="ai-email"
+alias ail="ai-linkedin"
 alias lgit="lazygit"
 alias ldocker="lazydocker"
 alias conf="z ~/.config"
@@ -25,6 +39,7 @@ set -gx VOLUME_STEP 5
 set -gx BRIGHTNESS_STEP 5
 
 set -gx PATH $HOME/.cargo/bin $PATH
+set -gx PATH $HOME/.npm-packages/bin $PATH
 
 set fish_vi_force_cursor
 set fish_cursor_default block

home/.config/fish/functions/check_night_mode.fish

@@ -1,5 +1,5 @@
 function check_night_mode
-    set target_process wlsunset
+    set target_process hyprsunset
 
     if pgrep $target_process >/dev/null
         echo "{ \"text\":\"󱩌\", \"tooltip\": \"night-mode <span color='#a6da95'>on</span>\", \"class\": \"on\" }"

home/.config/fish/functions/clipboard_to_wlcopy.fish

@@ -2,6 +2,6 @@ function clipboard_to_wlcopy
     set clip $(cliphist list | rofi -dmenu -p 'clipboard copy')
     if not [ -z $clip ]
         echo $clip | cliphist decode | wl-copy
-        dunstify "Clipboard" "Clip '$clip' was copied" -t 2000
+        dunstify Clipboard "Clip '$clip' was copied" -t 2000
     end
 end

home/.config/fish/functions/fish_bind_count.fish

@@ -0,0 +1,28 @@
+function fish_bind_count
+    argparse 'h/help' 'z/zero' 'r/read' -- $argv
+    or return 1
+    if test -n "$_flag_help"
+        echo "Helper function to track count modifier with modal key bindings"
+        echo "Usage: $0 [-h] [-z] [DIGITS ...]"
+        return
+    end
+    if test -n "$_flag_zero" || not string match -rq '[1-9]\d*' "$fish_bind_count"
+        set -g fish_bind_count 0
+    end
+    # Iterate over given digits
+    for arg in $argv
+        for digit in (string split '' "$arg")
+            set -g fish_bind_count $(math "$fish_bind_count" \* 10 \+ "$digit")
+        end
+    end
+    if test -n "$_flag_read"
+        set -l count "$fish_bind_count"
+        set -g fish_bind_count 0
+        if test "$count" = 0
+            echo 1
+            return 1
+        else
+            echo "$count"
+        end
+    end
+end

home/.config/fish/functions/fish_default_mode_prompt.fish

@@ -0,0 +1,26 @@
+function fish_default_mode_prompt --description "Display vi/helix prompt mode"
+    # Do nothing if not in vi mode
+    if test "$fish_key_bindings" = fish_vi_key_bindings
+        or test "$fish_key_bindings" = fish_helix_key_bindings
+        or test "$fish_key_bindings" = fish_hybrid_key_bindings
+        switch $fish_bind_mode
+            case default
+                set_color --bold red
+                echo '[N]'
+            case insert
+                set_color --bold green
+                echo '[I]'
+            case replace_one
+                set_color --bold green
+                echo '[R]'
+            case replace
+                set_color --bold cyan
+                echo '[R]'
+            case visual
+                set_color --bold magenta
+                echo '[V]'
+        end
+        set_color normal
+        echo -n ' '
+    end
+end

home/.config/fish/functions/fish_helix_command.fish

@@ -0,0 +1,433 @@
+# FIXME this can't be called in sequence in general case,
+# because of unsynchronized `commandline -f` and `commandline -C`
+
+function fish_helix_command
+    argparse h/help -- $argv
+    or return 1
+    if test -n "$_flag_help"
+        echo "Helper function to handle modal key bindings mostly outside of insert mode"
+        return
+    end
+
+    # TODO only single command allowed really yet,
+    #     because `commandline -f` queues actions, while `commandline -C` is immediate
+    for command in $argv
+        set -f count (fish_bind_count -r)
+        set -f count_defined $status
+
+        switch $command
+            case {move,extend}_char_left
+                commandline -C (math max\(0, (commandline -C) - $count\))
+                __fish_helix_extend_by_command $command
+            case {move,extend}_char_right
+                commandline -C (math (commandline -C) + $count)
+                __fish_helix_extend_by_command $command
+
+            case char_up
+                __fish_helix_char_up $fish_bind_mode $count
+            case char_down
+                __fish_helix_char_down $fish_bind_mode $count
+
+            case next_word_start
+                # https://regex101.com/r/KXrl1x/1
+                set -l regex (string join '' \
+            '(?:.?\\n+|' \
+            '[[:alnum:]_](?=[^[:alnum:]_\\s])|' \
+            '[^[:alnum:]_\\s](?=[[:alnum:]_])|' \
+            '[^\\S\\n](?=[\\S\\n])|)' \
+            '((?:[[:alnum:]_]+|[^[:alnum:]_\\s]+|)[^\\S\\n]*)' \
+            )
+                __fish_helix_next_word $fish_bind_mode $count $regex
+
+            case next_long_word_start
+                set -l regex (string join '' \
+            '(?:.?\\n+|' \
+            '[^\\S\\n](?=[\\S\\n])|)' \
+            '(\\S*[^\\S\\n]*)' \
+            )
+                __fish_helix_next_word $fish_bind_mode $count $regex
+
+            case next_word_end
+                # https://regex101.com/r/Gl0KP2/1
+                set -l regex ' (?:
+                .?\\n+ |
+                [[:alnum:]_](?=[^[:alnum:]_]) |
+                [^[:alnum:]_\\s](?=[[:alnum:]_\\s]) | )
+            ( [^\\S\\n]*
+                (?: [[:alnum:]_]+ | [^[:alnum:]_\\s]+ | ) ) '
+                __fish_helix_next_word $fish_bind_mode $count $regex
+
+            case next_long_word_end
+                set -l regex ' (?: .?\\n+ | \\S(?=\\s) | )
+            ( [^\\S\\n]* \\S* ) '
+                __fish_helix_next_word $fish_bind_mode $count $regex
+
+            case prev_word_start
+                set -l regex ' ( (?:
+                [[:alnum:]_]+ |
+                [^[:alnum:]_\\s]+ | )
+            [^\\S\\n]* )
+            (?: \\n+.? |
+                (?<=[^[:alnum:]_])[[:alnum:]_] |
+                (?<=[[:alnum:]_\\s])[^[:alnum:]_\\s] | ) '
+                __fish_helix_prev_word $fish_bind_mode $count $regex
+
+            case prev_long_word_start
+                set -l regex '
+            ( \\S* [^\\S\\n]* )
+            (?: \\n+.? | (?<=\\s)\\S | ) '
+                __fish_helix_prev_word $fish_bind_mode $count $regex
+
+            case till_next_char
+                __fish_helix_find_char $fish_bind_mode $count forward-jump-till forward-char
+            case find_next_char
+                __fish_helix_find_char $fish_bind_mode $count forward-jump
+            case till_prev_char
+                __fish_helix_find_char $fish_bind_mode $count backward-jump-till backward-char
+            case find_prev_char
+                __fish_helix_find_char $fish_bind_mode $count backward-jump
+
+            case till_next_cr
+                __fish_helix_find_next_cr $fish_bind_mode $count 2
+            case find_next_cr
+                __fish_helix_find_next_cr $fish_bind_mode $count 1
+            case till_prev_cr
+                __fish_helix_find_prev_cr $fish_bind_mode $count 1
+            case find_prev_cr
+                __fish_helix_find_prev_cr $fish_bind_mode $count 0
+
+            case goto_line_start
+                commandline -f beginning-of-line
+                __fish_helix_extend_by_mode
+            case goto_line_end
+                __fish_helix_goto_line_end
+                __fish_helix_extend_by_mode
+            case goto_first_nonwhitespace
+                __fish_helix_goto_first_nonwhitespace
+                __fish_helix_extend_by_mode
+
+            case goto_file_start
+                __fish_helix_goto_line $count
+            case goto_line
+                if test "$count_defined" = 0 # if true
+                    __fish_helix_goto_line $count
+                end
+            case goto_last_line
+                commandline -f end-of-buffer beginning-of-line
+                __fish_helix_extend_by_mode
+
+            case insert_mode
+                set fish_bind_mode insert
+                commandline -f end-selection repaint-mode
+
+            case append_mode
+                commandline -C (commandline -E)
+                set fish_bind_mode insert
+                commandline -f end-selection repaint-mode
+
+            case prepend_to_line
+                __fish_helix_goto_first_nonwhitespace
+                set fish_bind_mode insert
+                commandline -f end-selection repaint-mode
+
+            case append_to_line
+                set fish_bind_mode insert
+                commandline -f end-selection end-of-line repaint-mode
+
+            case delete_selection
+                commandline -f kill-selection begin-selection
+            case delete_selection_noyank
+                __fish_helix_delete_selection
+
+            case yank
+                __fish_helix_yank
+            case paste_before
+                __fish_helix_paste_before "commandline -f yank"
+            case paste_after
+                __fish_helix_paste_after "commandline -f yank"
+            case replace_selection
+                __fish_helix_replace_selection "$fish_killring[1]" true
+
+            case paste_before_clip
+                __fish_helix_paste_before fish_clipboard_paste
+            case paste_after_clip
+                __fish_helix_paste_after fish_clipboard_paste --clip
+            case replace_selection_clip
+                __fish_helix_replace_selection "" fish_clipboard_paste --clip
+
+            case select_all
+                commandline -f beginning-of-buffer begin-selection end-of-buffer end-of-line backward-char
+
+            case select_line
+                commandline -f beginning-of-line begin-selection end-of-line
+
+            case '*'
+                echo "[fish-helix]" Unknown command $command >&2
+        end
+    end
+end
+
+function __fish_helix_extend_by_command -a piece
+    if not string match -qr extend_ $piece
+        commandline -f begin-selection
+    end
+end
+
+function __fish_helix_extend_by_mode
+    if test $fish_bind_mode = default
+        commandline -f begin-selection
+    end
+end
+
+function __fish_helix_find_char -a mode count fish_cmdline till
+    # FIXME don't reset selection if N/A
+    if test $mode = default
+        commandline -f begin-selection
+    end
+    commandline -f $till $fish_cmdline
+    for i in (seq 2 $count)
+        commandline -f $till repeat-jump
+    end
+end
+
+function __fish_helix_find_next_cr -a mode count skip
+    set -l cursor (commandline -C)
+    commandline | # Include endling newline intentionally
+        # Skip until cursor:
+        sed -z 's/^.\{'(math $cursor + $skip)'\}\(.*\)$/\\1/' |
+        # Count characters up to the target newline:
+        sed -z 's/^\(\([^\\n]*\\n\)\{0,'$count'\}\).*/\\1/' |
+        read -zl chars
+
+    if test $mode = default -a -n "$chars"
+        commandline -f begin-selection
+    end
+    for i in (seq 1 (string length -- "$chars"))
+        commandline -f forward-char
+    end
+end
+
+function __fish_helix_find_prev_cr -a mode count skip
+    set -l cursor (commandline -C)
+    commandline --cut-at-cursor |
+        sed -z 's/.\{'$skip'\}\n$//' |
+        read -zl buffer
+
+    echo -n $buffer |
+        # Drop characters up to the target newline:
+        sed -z 's/\(\(\\n[^\\n]*\)\{0,'$count'\}\)$//' |
+        read -zl chars
+    set -l n_chars (math (string length -- "$buffer") - (string length -- "$chars"))
+
+    if test $mode = default -a $n_chars != 0
+        commandline -f begin-selection
+    end
+    for i in (seq 1 $n_chars)
+        commandline -f backward-char
+    end
+end
+
+function __fish_helix_goto_line_end
+    # check if we are on an empty line first
+    commandline | sed -n (commandline -L)'!b;/^$/q;q5' && return
+    commandline -f end-of-line backward-char
+end
+
+function __fish_helix_goto_first_nonwhitespace
+    # check if we are on whitespace line first
+    commandline | sed -n (commandline -L)'!b;/^\\s*$/q;q5' && return
+    commandline -f beginning-of-line forward-bigword backward-bigword
+end
+
+function __fish_helix_goto_line -a number
+    set -l lines (math min\($number, (commandline | wc -l)\))
+    commandline -f beginning-of-buffer
+    for i in (seq 2 $lines)
+        commandline -f down-line
+    end
+    __fish_helix_extend_by_mode
+end
+
+function __fish_helix_char_up -a mode count
+    if commandline --paging-mode && not commandline --search-mode
+        for i in (seq 1 $count)
+            commandline -f up-line
+        end
+        return
+    end
+    set -l line (commandline -L)
+    if commandline --search-mode || test $line = 1
+        for i in (seq 1 (math min \($count, (count $history)\)))
+            commandline -f history-search-backward
+        end
+        return
+    end
+    set -l count (math min\($count, $line-1\))
+    for i in (seq 1 $count)
+        commandline -f up-line
+    end
+    __fish_helix_extend_by_mode
+end
+
+function __fish_helix_char_down -a mode count
+    if commandline --paging-mode && not commandline --search-mode
+        for i in (seq 1 $count)
+            commandline -f down-line
+        end
+        return
+    end
+    set -l line (commandline -L)
+    set -l total (count (commandline))
+    if commandline --search-mode || test $line = $total
+        for i in (seq 1 (math min \($count, (count $history)\)))
+            commandline -f history-search-forward
+        end
+        return
+    end
+    set -l count (math min\($count, $total - $line\))
+    for i in (seq 1 $count)
+        commandline -f down-line
+    end
+    __fish_helix_extend_by_mode
+end
+
+function __fish_helix_next_word -a mode count regex
+    set -f cursor (commandline -C)
+    commandline |
+        perl -e '
+        use open qw(:std :utf8);
+        do { local $/; substr <>, '$cursor' } =~ m/(?:'$regex'){0,'$count'}/ux;
+        print $-[1], " ", $+[1];' |
+        read -f left right
+    test "$left" = "$right" && return
+    if test $mode = default
+        commandline -C (math $cursor + $left)
+        commandline -f begin-selection
+        for i in (seq $left (math $right - 2))
+            commandline -f forward-char
+        end
+    else
+        commandline -C (math $cursor + $right - 1)
+    end
+end
+
+function __fish_helix_prev_word -a mode count regex
+    set -f left (math (commandline -C) + 1)
+    set -f updated 0
+    for i in (seq 1 $count)
+        commandline |
+            perl -e '
+            use open qw(:std :utf8);
+            do { local $/; substr <>, 0, '$left' } =~ /(?:'$regex')$/ux;
+            print $-[1], " ", $+[1];' |
+            read -l l r
+        test "$l" = "$r" -o "$l" = 0 -a "$r" = 1 && break
+        set -f left $l
+        set -f right $r
+        set -f updated 1
+    end
+    test $updated -eq 0; and return
+    if test $mode = default
+        commandline -C (math $right - 1)
+        commandline -f begin-selection
+        for i in (seq $left (math $right - 2))
+            commandline -f backward-char
+        end
+    else
+        commandline -C (math $left)
+    end
+end
+
+function __fish_helix_delete_selection
+    set start (commandline -B)
+    set end (commandline -E)
+    commandline |
+        sed -zE 's/^(.{'$start'})(.{0,'(math $end - $start)'})(.*)\\n$/\\1\\3/' |
+        read -l result
+
+    commandline "$result"
+    commandline -C $start
+    commandline -f begin-selection
+end
+
+function __fish_helix_yank
+    set -l end (commandline -E)
+    set -l cursor (commandline -C)
+    commandline -f kill-selection yank backward-char
+
+    for i in (seq $cursor (math $end - 2))
+        commandline -f backward-char
+    end
+end
+
+function __fish_helix_paste_before -a cmd_paste
+    set -l cmd_paste $(string split " " $cmd_paste)
+    set -l cursor (commandline -C)
+    set -l start (commandline -B)
+    set -l end (commandline -E)
+    commandline -C $start
+    $cmd_paste
+    commandline -f begin-selection
+    for i in (seq $start (math $end - 2))
+        commandline -f forward-char
+    end
+    if test $cursor = $start
+        commandline -f swap-selection-start-stop
+    end
+end
+
+function __fish_helix_paste_after -a cmd_paste
+    set -l cmd_paste $(string split " " $cmd_paste)
+    set -l cursor (commandline -C)
+    set -l start (commandline -B)
+    set -l end (commandline -E)
+    commandline -C $end
+    $cmd_paste
+
+    if test "$argv[2]" = --clip
+        commandline -C (math $end - 1)
+    else
+        for i in (seq 0 (string length "$fish_killring[1]"))
+            commandline -f backward-char
+        end
+    end
+    commandline -f begin-selection
+    for i in (seq $start (math $end - 2))
+        commandline -f backward-char
+    end
+    if test $cursor != $start
+        commandline -f swap-selection-start-stop
+    end
+end
+
+function __fish_helix_replace_selection -a replacement cmd_paste
+    set -l cmd_paste $(string split " " $cmd_paste)
+    set cursor (commandline -C)
+    set start (commandline -B)
+    set end (commandline -E)
+    commandline |
+        sed -zE 's/^(.{'$start'})(.{0,'(math $end - $start)'})(.*)\\n$/\\1'"$(string escape --style=regex "$replacement")"'\\3/' |
+        read -l result
+
+    commandline "$result"
+    commandline -C $start
+    $cmd_paste
+
+    if test "$argv[3]" = --clip
+        commandline -f backward-char begin-selection
+        for i in (seq (math $start + 2) (commandline -C))
+            commandline -f backward-char
+        end
+        if test $cursor != $start
+            commandline -f swap-selection-start-stop
+        end
+    else
+        commandline -f begin-selection
+        for i in (seq 2 (string length "$replacement"))
+            commandline -f forward-char
+        end
+        if test $cursor = $start
+            commandline -f swap-selection-start-stop
+        end
+    end
+end

home/.config/fish/functions/fish_helix_key_bindings.fish

@@ -0,0 +1,291 @@
+# IMPORTANT!!!
+#
+# When defining your own bindings using fish_helix_command, be aware that it can break
+# stuff sometimes.
+#
+# It is safe to define a binding consisting of a lone call to fish_helix_command.
+# Calls to other functions and executables are allowed along with it, granted they don't mess
+# with fish's commandline buffer.
+#
+# Mixing multiple fish_helix_commandline and commandline calls in one binding MAY trigger issues.
+# Nothing serious, but don't be surprised. Just test it.
+
+function fish_helix_key_bindings --description 'helix-like key bindings for fish'
+    if contains -- -h $argv
+        or contains -- --help $argv
+        echo "Sorry but this function doesn't support -h or --help"
+        return 1
+    end
+
+    # Erase all bindings if not explicitly requested otherwise to
+    # allow for hybrid bindings.
+    # This needs to be checked here because if we are called again
+    # via the variable handler the argument will be gone.
+    set -l rebind true
+    if test "$argv[1]" = --no-erase
+        set rebind false
+        set -e argv[1]
+    else
+        bind --erase --all --preset # clear earlier bindings, if any
+    end
+
+    # Allow just calling this function to correctly set the bindings.
+    # Because it's a rather discoverable name, users will execute it
+    # and without this would then have subtly broken bindings.
+    if test "$fish_key_bindings" != fish_helix_key_bindings
+        and test "$rebind" = true
+        # Allow the user to set the variable universally.
+        set -q fish_key_bindings
+        or set -g fish_key_bindings
+        # This triggers the handler, which calls us again and ensures the user_key_bindings
+        # are executed.
+        set fish_key_bindings fish_helix_key_bindings
+        return
+    end
+
+    set -l init_mode insert
+
+    if contains -- $argv[1] insert default visual
+        set init_mode $argv[1]
+    else if set -q argv[1]
+        # We should still go on so the bindings still get set.
+        echo "Unknown argument $argv" >&2
+    end
+
+    # Inherit shared key bindings.
+    # Do this first so helix-bindings win over default.
+    for mode in insert default visual
+        __fish_shared_key_bindings -s -M $mode
+    end
+
+    bind -s --preset -M insert \r execute
+    bind -s --preset -M insert \n execute
+
+    bind -s --preset -M insert "" self-insert
+
+    # Space and other command terminators expand abbrs _and_ inserts itself.
+    bind -s --preset -M insert " " self-insert expand-abbr
+    bind -s --preset -M insert ";" self-insert expand-abbr
+    bind -s --preset -M insert "|" self-insert expand-abbr
+    bind -s --preset -M insert "&" self-insert expand-abbr
+    bind -s --preset -M insert "^" self-insert expand-abbr
+    bind -s --preset -M insert ">" self-insert expand-abbr
+    bind -s --preset -M insert "<" self-insert expand-abbr
+    # Closing a command substitution expands abbreviations
+    bind -s --preset -M insert ")" self-insert expand-abbr
+    # Ctrl-space inserts space without expanding abbrs
+    bind -s --preset -M insert -k nul 'commandline -i " "'
+
+    # Switching to insert mode
+    for mode in default visual
+        bind -s --preset -M $mode -m insert \cc end-selection cancel-commandline repaint-mode
+        bind -s --preset -M $mode -m insert \n end-selection execute
+        bind -s --preset -M $mode -m insert \r end-selection execute
+        bind -s --preset -M $mode -m insert o end-selection insert-line-under repaint-mode
+        bind -s --preset -M $mode -m insert O end-selection insert-line-over repaint-mode
+        # FIXME i/a should keep selection, maybe
+        bind -s --preset -M $mode i "fish_helix_command insert_mode"
+        bind -s --preset -M $mode I "fish_helix_command prepend_to_line"
+        bind -s --preset -M $mode a "fish_helix_command append_mode"
+        bind -s --preset -M $mode A "fish_helix_command append_to_line"
+    end
+
+    # Switching from insert mode
+    # Note if we are paging, we want to stay in insert mode
+    # See #2871
+    bind -s --preset -M insert \e "if commandline -P; commandline -f cancel; else; set fish_bind_mode default; commandline -f begin-selection repaint-mode; end"
+
+    # Switching between normal and visual mode
+    bind -s --preset -M default -m visual v repaint-mode
+    for key in v \e
+        bind -s --preset -M visual -m default $key repaint-mode
+    end
+
+    # Motion and actions in normal/select mode
+    for mode in default visual
+        if test $mode = default
+            set -f n_begin_selection begin-selection # only begin-selection if current mode is Normal
+            set -f ns_move_extend move
+            set -f commandline_v_repaint ""
+        else
+            set -f n_begin_selection
+            set -f ns_move_extend extend
+            set -f commandline_v_repaint "commandline -f repaint-mode"
+        end
+
+        for key in (seq 0 9)
+            bind -s --preset -M $mode $key "fish_bind_count $key"
+            # FIXME example to bind 0
+            # FIXME backspace to edit count
+        end
+        for key in h \e\[D \eOD "-k left"
+            bind -s --preset -M $mode $key "fish_helix_command "$ns_move_extend"_char_left"
+        end
+        for key in l \e\[C \eOC "-k right"
+            bind -s --preset -M $mode $key "fish_helix_command "$ns_move_extend"_char_right"
+        end
+        for key in k \e\[A \eOA "-k up"
+            bind -s --preset -M $mode $key "fish_helix_command char_up"
+        end
+        for key in j \e\[B \eOB "-k down"
+            bind -s --preset -M $mode $key "fish_helix_command char_down"
+        end
+
+        bind -s --preset -M $mode w "fish_helix_command next_word_start"
+        bind -s --preset -M $mode b "fish_helix_command prev_word_start"
+        bind -s --preset -M $mode e "fish_helix_command next_word_end"
+        bind -s --preset -M $mode W "fish_helix_command next_long_word_start"
+        bind -s --preset -M $mode B "fish_helix_command prev_long_word_start"
+        bind -s --preset -M $mode E "fish_helix_command next_long_word_end"
+
+        bind -s --preset -M $mode t "fish_helix_command till_next_char"
+        bind -s --preset -M $mode f "fish_helix_command find_next_char"
+        bind -s --preset -M $mode T "fish_helix_command till_prev_char"
+        bind -s --preset -M $mode F "fish_helix_command find_prev_char"
+
+        bind -s --preset -M $mode t\e ""
+        bind -s --preset -M $mode f\e ""
+        bind -s --preset -M $mode T\e ""
+        bind -s --preset -M $mode F\e ""
+
+        for enter in \r \n
+            bind -s --preset -M $mode t$enter "fish_helix_command till_next_cr"
+            bind -s --preset -M $mode f$enter "fish_helix_command find_next_cr"
+            bind -s --preset -M $mode T$enter "fish_helix_command till_prev_cr"
+            bind -s --preset -M $mode F$enter "fish_helix_command find_prev_cr"
+        end
+
+        for key in gh \e\[H \eOH "-k home"
+            bind -s --preset -M $mode $key "fish_helix_command goto_line_start"
+        end
+        for key in gl \e\[F \eOF "-k end"
+            bind -s --preset -M $mode $key "fish_helix_command goto_line_end"
+        end
+        bind -s --preset -M $mode gs "fish_helix_command goto_first_nonwhitespace"
+        bind -s --preset -M $mode gg "fish_helix_command goto_file_start"
+        bind -s --preset -M $mode G "fish_helix_command goto_line"
+        bind -s --preset -M $mode ge "fish_helix_command goto_last_line"
+
+        # FIXME alt-. doesn't work with t/T
+        # FIXME alt-. doesn't work with [ftFT][\n\r]
+        bind -s --preset -M $mode \e. repeat-jump
+
+        # FIXME reselect after undo/redo
+        bind -s --preset -M $mode u undo begin-selection
+        bind -s --preset -M $mode U redo begin-selection
+
+        bind -s --preset -M $mode -m replace_one r repaint-mode
+
+        # FIXME registers
+        # bind -s --preset -M $mode y fish_clipboard_copy
+        # bind -s --preset -M $mode P fish_clipboard_paste
+        # bind -s --preset -M $mode R kill-selection begin-selection yank-pop yank
+
+        bind -s --preset -M $mode -m default d "fish_helix_command delete_selection; $commandline_v_repaint"
+        bind -s --preset -M $mode -m default \ed "fish_helix_command delete_selection_noyank; $commandline_v_repaint"
+        bind -s --preset -M $mode -m insert c "fish_helix_command delete_selection; commandline -f end-selection repaint-mode"
+        bind -s --preset -M $mode -m insert \ec "fish_helix_command delete_selection_noyank; commandline -f end-selection repaint-mode"
+
+        bind -s --preset -M $mode -m default y "fish_helix_command yank"
+        bind -s --preset -M $mode p "fish_helix_command paste_after"
+        bind -s --preset -M $mode P "fish_helix_command paste_before"
+        bind -s --preset -M $mode R "fish_helix_command replace_selection"
+
+        bind -s --preset -M $mode -m default " y" "fish_clipboard_copy; $commandline_v_repaint"
+        bind -s --preset -M $mode " p" "fish_helix_command paste_after_clip"
+        bind -s --preset -M $mode " P" "fish_helix_command paste_before_clip"
+        bind -s --preset -M $mode " R" "fish_helix_command replace_selection_clip"
+
+        # FIXME keep selection
+        bind -s --preset -M $mode ~ togglecase-selection
+        # FIXME ` and \e`
+
+        # FIXME .
+        # FIXME < and >
+        # FIXME =
+
+        # FIXME \ca \cx
+        # FIXME Qq
+
+        ## Shell
+        # FIXME
+
+        ## Selection manipulation
+        # FIXME & _
+
+        bind -s --preset -M $mode \; begin-selection
+        bind -s --preset -M $mode \e\; swap-selection-start-stop
+        # FIXME \e:
+
+        bind -s --preset -M $mode % "fish_helix_command select_all"
+
+        bind -s --preset -M $mode x "fish_helix_command select_line"
+
+        # FIXME x X \ex
+        # FIXME J
+        # FIXME \cc
+
+        ## Search
+        # FIXME
+
+        ## FIXME minor modes: g, m, space
+
+        ## FIXME [ and ] motions
+    end
+
+    # FIXME should replace the whole selection
+    # FIXME should be able to go back to visual mode
+    bind -s --preset -M replace_one -m default '' delete-char self-insert backward-char repaint-mode
+    bind -s --preset -M replace_one -m default \r 'commandline -f delete-char; commandline -i \n; commandline -f backward-char; commandline -f repaint-mode'
+    bind -s --preset -M replace_one -m default \e cancel repaint-mode
+
+    ## FIXME Insert mode keys
+
+    ## Old config from vi:
+
+    # Vi moves the cursor back if, after deleting, it is at EOL.
+    # To emulate that, move forward, then backward, which will be a NOP
+    # if there is something to move forward to.
+    bind -s --preset -M insert -k dc delete-char forward-single-char backward-char
+    bind -s --preset -M default -k dc delete-char forward-single-char backward-char
+
+    # Backspace deletes a char in insert mode, but not in normal/default mode.
+    bind -s --preset -M insert -k backspace backward-delete-char
+    bind -s --preset -M default -k backspace backward-char
+    bind -s --preset -M insert \ch backward-delete-char
+    bind -s --preset -M default \ch backward-char
+    bind -s --preset -M insert \x7f backward-delete-char
+    bind -s --preset -M default \x7f backward-char
+    bind -s --preset -M insert -k sdc backward-delete-char # shifted delete
+    bind -s --preset -M default -k sdc backward-delete-char # shifted delete
+
+    #    bind -s --preset '~' togglecase-char forward-single-char
+    #    bind -s --preset gu downcase-word
+    #    bind -s --preset gU upcase-word
+    #
+    #    bind -s --preset J end-of-line delete-char
+    #    bind -s --preset K 'man (commandline -t) 2>/dev/null; or echo -n \a'
+    #
+
+    # same vim 'pasting' note as upper
+    bind -s --preset '"*p' forward-char "commandline -i ( xsel -p; echo )[1]"
+    bind -s --preset '"*P' "commandline -i ( xsel -p; echo )[1]"
+
+    #
+    # visual mode
+    #
+
+    # bind -s --preset -M visual -m insert c kill-selection end-selection repaint-mode
+    # bind -s --preset -M visual -m insert s kill-selection end-selection repaint-mode
+    bind -s --preset -M visual -m default '"*y' "fish_clipboard_copy; commandline -f end-selection repaint-mode"
+    bind -s --preset -M visual -m default '~' togglecase-selection end-selection repaint-mode
+
+    # Set the cursor shape
+    # After executing once, this will have defined functions listening for the variable.
+    # Therefore it needs to be before setting fish_bind_mode.
+    fish_vi_cursor
+    set -g fish_cursor_selection_mode inclusive
+
+    set fish_bind_mode $init_mode
+
+end

home/.config/fish/functions/fish_user_key_bindings.fish

@@ -1,4 +1,6 @@
 function fish_user_key_bindings
+    fzf_key_bindings
+
     # Execute this once per mode that emacs bindings should be used in
     fish_default_key_bindings -M insert
 
@@ -6,7 +8,7 @@ function fish_user_key_bindings
     # Without --no-erase fish_vi_key_bindings will default to
     # resetting all bindings.
     # The argument specifies the initial mode (insert, "default" or visual).
-    fish_vi_key_bindings --no-erase insert
+    fish_helix_key_bindings --no-erase insert
 
     # Nullify fzf default keybindings
     bind \cT '' -M insert

home/.config/fish/functions/fzf_key_bindings.fish

@@ -0,0 +1,231 @@
+### key-bindings.fish ###
+#     ____      ____
+#    / __/___  / __/
+#   / /_/_  / / /_
+#  / __/ / /_/ __/
+# /_/   /___/_/ key-bindings.fish
+#
+# - $FZF_TMUX_OPTS
+# - $FZF_CTRL_T_COMMAND
+# - $FZF_CTRL_T_OPTS
+# - $FZF_CTRL_R_OPTS
+# - $FZF_ALT_C_COMMAND
+# - $FZF_ALT_C_OPTS
+
+# Key bindings
+# ------------
+# The oldest supported fish version is 3.1b1. To maintain compatibility, the
+# command substitution syntax $(cmd) should never be used, even behind a version
+# check, otherwise the source command will fail on fish versions older than 3.4.0.
+function fzf_key_bindings
+
+    # Check fish version
+    set -l fish_ver (string match -r '^(\d+).(\d+)' $version 2> /dev/null; or echo 0\n0\n0)
+    if test \( "$fish_ver[2]" -lt 3 \) -o \( "$fish_ver[2]" -eq 3 -a "$fish_ver[3]" -lt 1 \)
+        echo "This script requires fish version 3.1b1 or newer." >&2
+        return 1
+    else if not type -q fzf
+        echo "fzf was not found in path." >&2
+        return 1
+    end
+
+    function __fzf_defaults
+        # $argv[1]: Prepend to FZF_DEFAULT_OPTS_FILE and FZF_DEFAULT_OPTS
+        # $argv[2..]: Append to FZF_DEFAULT_OPTS_FILE and FZF_DEFAULT_OPTS
+        test -n "$FZF_TMUX_HEIGHT"; or set -l FZF_TMUX_HEIGHT 40%
+        string join ' ' -- \
+            "--height $FZF_TMUX_HEIGHT --min-height=20+ --bind=ctrl-z:ignore" $argv[1] \
+            (test -r "$FZF_DEFAULT_OPTS_FILE"; and string join -- ' ' <$FZF_DEFAULT_OPTS_FILE) \
+            $FZF_DEFAULT_OPTS $argv[2..-1]
+    end
+
+    function __fzfcmd
+        test -n "$FZF_TMUX_HEIGHT"; or set -l FZF_TMUX_HEIGHT 40%
+        if test -n "$FZF_TMUX_OPTS"
+            echo "fzf-tmux $FZF_TMUX_OPTS -- "
+        else if test "$FZF_TMUX" = 1
+            echo "fzf-tmux -d$FZF_TMUX_HEIGHT -- "
+        else
+            echo fzf
+        end
+    end
+
+    function __fzf_parse_commandline -d 'Parse the current command line token and return split of existing filepath, fzf query, and optional -option= prefix'
+        set -l fzf_query ''
+        set -l prefix ''
+        set -l dir '.'
+
+        # Set variables containing the major and minor fish version numbers, using
+        # a method compatible with all supported fish versions.
+        set -l -- fish_major (string match -r -- '^\d+' $version)
+        set -l -- fish_minor (string match -r -- '^\d+\.(\d+)' $version)[2]
+
+        # fish v3.3.0 and newer: Don't use option prefix if " -- " is preceded.
+        set -l -- match_regex '(?<fzf_query>[\s\S]*?(?=\n?$)$)'
+        set -l -- prefix_regex '^-[^\s=]+=|^-(?!-)\S'
+        if test "$fish_major" -eq 3 -a "$fish_minor" -lt 3
+            or string match -q -v -- '* -- *' (string sub -l (commandline -Cp) -- (commandline -p))
+            set -- match_regex "(?<prefix>$prefix_regex)?$match_regex"
+        end
+
+        # Set $prefix and expanded $fzf_query with preserved trailing newlines.
+        if test "$fish_major" -ge 4
+            # fish v4.0.0 and newer
+            string match -q -r -- $match_regex (commandline --current-token --tokens-expanded | string collect -N)
+        else if test "$fish_major" -eq 3 -a "$fish_minor" -ge 2
+            # fish v3.2.0 - v3.7.1 (last v3)
+            string match -q -r -- $match_regex (commandline --current-token --tokenize | string collect -N)
+            eval set -- fzf_query (string escape -n -- $fzf_query | string replace -r -a '^\\\(?=~)|\\\(?=\$\w)' '')
+        else
+            # fish older than v3.2.0 (v3.1b1 - v3.1.2)
+            set -l -- cl_token (commandline --current-token --tokenize | string collect -N)
+            set -- prefix (string match -r -- $prefix_regex $cl_token)
+            set -- fzf_query (string replace -- "$prefix" '' $cl_token | string collect -N)
+            eval set -- fzf_query (string escape -n -- $fzf_query | string replace -r -a '^\\\(?=~)|\\\(?=\$\w)|\\\n\\\n$' '')
+        end
+
+        if test -n "$fzf_query"
+            # Normalize path in $fzf_query, set $dir to the longest existing directory.
+            if test \( "$fish_major" -ge 4 \) -o \( "$fish_major" -eq 3 -a "$fish_minor" -ge 5 \)
+                # fish v3.5.0 and newer
+                set -- fzf_query (path normalize -- $fzf_query)
+                set -- dir $fzf_query
+                while not path is -d $dir
+                    set -- dir (path dirname $dir)
+                end
+            else
+                # fish older than v3.5.0 (v3.1b1 - v3.4.1)
+                if test "$fish_major" -eq 3 -a "$fish_minor" -ge 2
+                    # fish v3.2.0 - v3.4.1
+                    string match -q -r -- '(?<fzf_query>^[\s\S]*?(?=\n?$)$)' \
+                        (string replace -r -a -- '(?<=/)/|(?<!^)/+(?!\n)$' '' $fzf_query | string collect -N)
+                else
+                    # fish v3.1b1 - v3.1.2
+                    set -- fzf_query (string replace -r -a -- '(?<=/)/|(?<!^)/+(?!\n)$' '' $fzf_query | string collect -N)
+                    eval set -- fzf_query (string escape -n -- $fzf_query | string replace -r '\\\n$' '')
+                end
+                set -- dir $fzf_query
+                while not test -d "$dir"
+                    set -- dir (dirname -z -- "$dir" | string split0)
+                end
+            end
+
+            if not string match -q -- '.' $dir; or string match -q -r -- '^\./|^\.$' $fzf_query
+                # Strip $dir from $fzf_query - preserve trailing newlines.
+                if test "$fish_major" -ge 4
+                    # fish v4.0.0 and newer
+                    string match -q -r -- '^'(string escape --style=regex -- $dir)'/?(?<fzf_query>[\s\S]*)' $fzf_query
+                else if test "$fish_major" -eq 3 -a "$fish_minor" -ge 2
+                    # fish v3.2.0 - v3.7.1 (last v3)
+                    string match -q -r -- '^/?(?<fzf_query>[\s\S]*?(?=\n?$)$)' \
+                        (string replace -- "$dir" '' $fzf_query | string collect -N)
+                else
+                    # fish older than v3.2.0 (v3.1b1 - v3.1.2)
+                    set -- fzf_query (string replace -- "$dir" '' $fzf_query | string collect -N)
+                    eval set -- fzf_query (string escape -n -- $fzf_query | string replace -r -a '^/?|\\\n$' '')
+                end
+            end
+        end
+
+        string escape -n -- "$dir" "$fzf_query" "$prefix"
+    end
+
+    # Store current token in $dir as root for the 'find' command
+    function fzf-file-widget -d "List files and folders"
+        set -l commandline (__fzf_parse_commandline)
+        set -lx dir $commandline[1]
+        set -l fzf_query $commandline[2]
+        set -l prefix $commandline[3]
+
+        set -lx FZF_DEFAULT_OPTS (__fzf_defaults \
+      "--reverse --walker=file,dir,follow,hidden --scheme=path" \
+      "$FZF_CTRL_T_OPTS --multi --print0")
+
+        set -lx FZF_DEFAULT_COMMAND "$FZF_CTRL_T_COMMAND"
+        set -lx FZF_DEFAULT_OPTS_FILE
+
+        set -l result (eval (__fzfcmd) --walker-root=$dir --query=$fzf_query | string split0)
+        and commandline -rt -- (string join -- ' ' $prefix(string escape -- $result))' '
+
+        commandline -f repaint
+    end
+
+    function fzf-history-widget -d "Show command history"
+        set -l -- command_line (commandline)
+        set -l -- current_line (commandline -L)
+        set -l -- total_lines (count $command_line)
+        set -l -- fzf_query (string escape -- $command_line[$current_line])
+
+        set -lx FZF_DEFAULT_OPTS (__fzf_defaults '' \
+      '--nth=2..,.. --scheme=history --multi --wrap-sign="\t↳ "' \
+      '--bind=\'shift-delete:execute-silent(eval history delete --exact --case-sensitive -- (string escape -n -- {+} | string replace -r -a "^\d*\\\\\\t|(?<=\\\\\\n)\\\\\\t" ""))+reload(eval $FZF_DEFAULT_COMMAND)\'' \
+      "--bind=ctrl-r:toggle-sort --highlight-line $FZF_CTRL_R_OPTS" \
+      '--accept-nth=2.. --read0 --print0 --with-shell='(status fish-path)\\ -c)
+
+        set -lx FZF_DEFAULT_OPTS_FILE
+        set -lx FZF_DEFAULT_COMMAND
+
+        if type -q perl
+            set -a FZF_DEFAULT_OPTS --tac
+            set FZF_DEFAULT_COMMAND 'builtin history -z --reverse | command perl -0 -pe \'s/^/$.\t/g; s/\n/\n\t/gm\''
+        else
+            set FZF_DEFAULT_COMMAND \
+                'set -l h (builtin history -z --reverse | string split0);' \
+                'for i in (seq (count $h) -1 1);' \
+                'string join0 -- $i\t(string replace -a -- \n \n\t $h[$i] | string collect);' \
+                end
+        end
+
+        # Merge history from other sessions before searching
+        test -z "$fish_private_mode"; and builtin history merge
+
+        if set -l result (eval $FZF_DEFAULT_COMMAND \| (__fzfcmd) --query=$fzf_query | string split0)
+            if test "$total_lines" -eq 1
+                commandline -- (string replace -a -- \n\t \n $result)
+            else
+                set -l a (math $current_line - 1)
+                set -l b (math $current_line + 1)
+                commandline -- $command_line[1..$a] (string replace -a -- \n\t \n $result)
+                commandline -a -- '' $command_line[$b..-1]
+            end
+        end
+
+        commandline -f repaint
+    end
+
+    function fzf-cd-widget -d "Change directory"
+        set -l commandline (__fzf_parse_commandline)
+        set -lx dir $commandline[1]
+        set -l fzf_query $commandline[2]
+        set -l prefix $commandline[3]
+
+        set -lx FZF_DEFAULT_OPTS (__fzf_defaults \
+      "--reverse --walker=dir,follow,hidden --scheme=path" \
+      "$FZF_ALT_C_OPTS --no-multi --print0")
+
+        set -lx FZF_DEFAULT_OPTS_FILE
+        set -lx FZF_DEFAULT_COMMAND "$FZF_ALT_C_COMMAND"
+
+        if set -l result (eval (__fzfcmd) --query=$fzf_query --walker-root=$dir | string split0)
+            cd -- $result
+            commandline -rt -- $prefix
+        end
+
+        commandline -f repaint
+    end
+
+    bind \cr fzf-history-widget
+    bind -M insert \cr fzf-history-widget
+
+    if not set -q FZF_CTRL_T_COMMAND; or test -n "$FZF_CTRL_T_COMMAND"
+        bind \ct fzf-file-widget
+        bind -M insert \ct fzf-file-widget
+    end
+
+    if not set -q FZF_ALT_C_COMMAND; or test -n "$FZF_ALT_C_COMMAND"
+        bind \ec fzf-cd-widget
+        bind -M insert \ec fzf-cd-widget
+    end
+
+end
+### end: key-bindings.fish ###

home/.config/fish/functions/night_mode_temp_down.fish

@@ -0,0 +1,27 @@
+function night_mode_temp_down
+    set target_process hyprsunset
+    set temp_file ~/.cache/hyprsunset_temp
+    set decrement 100
+
+    if not pgrep $target_process >/dev/null
+        return
+    end
+
+    if test -f $temp_file
+        set current_temp (cat $temp_file)
+    else
+        set current_temp 4000
+    end
+
+    set new_temp (math $current_temp - $decrement)
+
+    if test $new_temp -lt 2000
+        set new_temp 2000
+    end
+
+    echo $new_temp >$temp_file
+
+    killall -s SIGINT $target_process
+    sleep 0.5
+    $target_process -t $new_temp
+end

home/.config/fish/functions/night_mode_temp_up.fish

@@ -0,0 +1,27 @@
+function night_mode_temp_up
+    set target_process hyprsunset
+    set temp_file ~/.cache/hyprsunset_temp
+    set increment 100
+
+    if not pgrep $target_process >/dev/null
+        return
+    end
+
+    if test -f $temp_file
+        set current_temp (cat $temp_file)
+    else
+        set current_temp 4000
+    end
+
+    set new_temp (math $current_temp + $increment)
+
+    if test $new_temp -gt 6500
+        set new_temp 6500
+    end
+
+    echo $new_temp >$temp_file
+
+    killall -s SIGINT $target_process
+    sleep 0.5
+    $target_process -t $new_temp
+end

home/.config/fish/functions/night_mode_toggle.fish

@@ -1,9 +1,16 @@
 function night_mode_toggle
-    set target_process wlsunset
+    set target_process hyprsunset
+    set temp_file ~/.cache/hyprsunset_temp
 
     if pgrep $target_process >/dev/null
-        killall -s SIGINT wlsunset
+        killall -s SIGINT $target_process
     else
-        wlsunset
+        if test -f $temp_file
+            set temp (cat $temp_file)
+        else
+            set temp 4000
+            echo $temp >$temp_file
+        end
+        $target_process -t $temp
     end
 end

home/.config/helix/config.toml

@@ -40,3 +40,4 @@ S-h = ":bp"
 S-right = ":bn"
 S-left = ":bp"
 A-w = ":w"
+A-r = ":rl"

home/.config/hypr/hyprland.conf

@@ -259,7 +259,7 @@ bind = $mainMod, Z, exec, pypr zoom
 
 # bind = $mainMod, T, exec, wezterm start --always-new-process
 bind = $mainMod, T, exec, nvidia-offload kitty
-bind = $mainMod SHIFT, T, exec, telegram-desktop
+bind = $mainMod SHIFT, T, exec, Telegram
 bind = $mainMod, B, exec, qutebrowser
 bind = $mainMod SHIFT, B, exec, brave
 bind = $mainMod, F, exec, thunar

home/.config/kitty/search.py

@@ -17,7 +17,7 @@ from kittens.tui.operations import (
 )
 from kitty.config import cached_values_for
 from kitty.key_encoding import EventType
-from kitty.typing import KeyEventType, ScreenSize
+from kitty.typing_compat import KeyEventType, ScreenSize
 
 NON_SPACE_PATTERN = re.compile(r"\S+")
 SPACE_PATTERN = re.compile(r"\s+")

home/.config/lazygit/config.yml

@@ -1,19 +1,24 @@
+gui:
   theme:
-  lightTheme: false 
     activeBorderColor:
-    - "#a6da95" # Green
+      - '#8bd5ca'
       - bold
     inactiveBorderColor:
-    - "#cad3f5" # Text
+      - '#a5adcb'
     optionsTextColor:
-    - "#8aadf4" # Blue
+      - '#8aadf4'
     selectedLineBgColor:
-    - "#363a4f" # Surface0
+      - '#363a4f'
-  selectedRangeBgColor:
-    - "#363a4f" # Surface0
     cherryPickedCommitBgColor:
-    - "#8bd5ca" # Teal
+      - '#494d64'
     cherryPickedCommitFgColor:
-    - "#8aadf4" # Blue
+      - '#8bd5ca'
     unstagedChangesColor:
-    - red       # Red
+      - '#ed8796'
+    defaultFgColor:
+      - '#cad3f5'
+    searchingActiveBorderColor:
+      - '#eed49f'
+
+  authorColors:
+    '*': '#b7bdf8'

home/.config/opencode/opencode.json

@@ -0,0 +1,102 @@
+{
+  "$schema": "https://opencode.ai/config.json",
+  "model": "z/glm-4.5",
+  "theme": "catppuccin",
+  "provider": {
+    "moonshot": {
+      "name": "Moonshot",
+      "npm": "@ai-sdk/openai-compatible",
+      "options": {
+        "baseURL": "https://api.moonshot.ai/v1"
+      },
+      "models": {
+        "kimi-k2-0711-preview": {
+          "name": "Kimi-K2"
+        }
+      }
+    },
+    "z": {
+      "name": "Z",
+      "npm": "@ai-sdk/openai-compatible",
+      "options": {
+        "baseURL": "https://api.z.ai/api/paas/v4"
+      },
+      "models": {
+        "glm-4.5": {
+          "name": "GLM-4.5"
+        }
+      }
+    }
+  },
+  "mcp": {
+    "context7": {
+      "type": "local",
+      "command": [
+        "npx",
+        "-y",
+        "@upstash/context7-mcp"
+      ],
+      "enabled": true
+    },
+    "playwright": {
+      "type": "local",
+      "command": [
+        "npx",
+        "-y",
+        "@playwright/mcp"
+      ],
+      "enabled": true
+    },
+    "searxng": {
+      "type": "local",
+      "command": [
+        "npx",
+        "-y",
+        "mcp-searxng"
+      ],
+      "enabled": true,
+      "environment": {
+        "SEARXNG_URL": "http://127.0.0.1:7777"
+      }
+    },
+    "mcp-server-git": {
+      "type": "local",
+      "command": [
+        "uvx",
+        "--python",
+        "/run/current-system/sw/bin/python",
+        "mcp-server-git"
+      ],
+      "enabled": true
+    },
+    "time": {
+      "type": "local",
+      "command": [
+        "uvx",
+        "--python",
+        "/run/current-system/sw/bin/python",
+        "mcp-server-time"
+      ],
+      "enabled": true
+    },
+    "sequential-thinking": {
+      "type": "local",
+      "command": [
+        "npx",
+        "-y",
+        "@modelcontextprotocol/server-sequential-thinking"
+      ],
+      "enabled": true
+    },
+    "filesystem": {
+      "type": "local",
+      "command": [
+        "npx",
+        "-y",
+        "@modelcontextprotocol/server-filesystem",
+        "/home/xnm"
+      ],
+      "enabled": true
+    }
+  }
+}

home/.config/posting/config.yaml

@@ -0,0 +1 @@
+theme: "catppuccin-macchiato-teal"

home/.config/waybar/config

@@ -223,7 +223,10 @@
 
     "custom/night_mode": {
         "return-type": "json",
-        "interval": 1,
+        "restart-interval": 1,
+        "on-scroll-down": "fish -c night_mode_temp_up",
+        "on-scroll-up": "fish -c night_mode_temp_down",
+        "smooth-scrolling-threshold": 2.0,
         "exec": "fish -c check_night_mode",
         "on-click": "fish -c night_mode_toggle",
     },
@@ -287,8 +290,8 @@
         // "numlock": true,
         "format": "{name} {icon}",
         "format-icons": {
-            "locked": "",
+            "locked": "󰌾",
-            "unlocked": ""
+            "unlocked": "󰍀"
         }
     },
 
@@ -343,7 +346,7 @@
     },
     
     "memory": {
-        "format": "{percentage}%",
+        "format": "󰍛{percentage}%",
         "tooltip-format": "Main: ({used} GiB/{total} GiB)({percentage}%), available {avail} GiB\nSwap: ({swapUsed} GiB/{swapTotal} GiB)({swapPercentage}%), available {swapAvail} GiB",
         "states": {
             "high": 90,

home/.gitconfig

@@ -7,6 +7,9 @@
 [includeIf "gitdir:~/work/"]
 	path = ~/work/.gitconfig.work
 
+[includeIf "gitdir:~/radicle-local-hub/"]
+	path = ~/radicle-local-hub/.gitconfig.radicle
+
 [core]
 	excludesfile = ~/.gitignore
 	pager = delta
@@ -21,4 +24,94 @@
     diffFilter = delta --color-only
 
 [delta]
+    side-by-side = true
+    line-numbers = true
+    navigate = true
+    hyperlinks = true
+    hyperlinks-file-link-format = "file://{path}#{line}"
     features = catppuccin-macchiato
+    whitespace-error-style = 22 reverse
+    conflict-style = zebibt
+
+    # Fancy visual enhancements
+    file-added-label = [added]
+    file-copied-label = [copied]
+    file-modified-label = [modified]
+    file-removed-label = [removed]
+    file-renamed-label = [renamed]
+
+    # Commit decorations
+    commit-decoration-style = bold box ul
+    commit-style = raw
+
+    # File decorations
+    file-decoration-style = bold yellow ul
+    file-style = bold blue
+
+    # Hunk headers
+    hunk-header-style = file line-number syntax
+    hunk-header-decoration-style = bold box ul
+
+    # Word diff highlighting
+    word-diff-regex = .
+    max-line-distance = 0.6
+    max-line-length = 512
+
+    # Line highlighting
+    line-numbers-left-format = "{nm:>4}┊"
+    line-numbers-right-format = "{np:>4}│"
+    line-numbers-left-style = blue
+    line-numbers-right-style = blue
+
+    # Blame enhancements
+    blame-code-style = syntax
+    blame-format = "{author:<18} ({commit:>7}) {timestamp:<16} │ "
+    blame-timestamp-format = "%Y-%m-%d %H:%M"
+
+    # Performance
+    inspect-raw-lines = false
+
+    # Additional fancy features
+    color-moved = default
+    color-moved-ws = allow-indent-change
+
+    # Show line numbers in context
+    line-numbers-minus-style = bold red
+    line-numbers-plus-style = bold green
+    line-numbers-zero-style = dim
+
+    # Better context display
+    minus-empty-line-marker-style = normal
+    plus-empty-line-marker-style = normal
+
+    # File icons (if available)
+    file-icon = true
+
+    # Syntax highlighting improvements
+    syntax-theme = Catppuccin Macchiato
+    keep-plus-minus-markers = false
+
+    # Show commit stats
+    show-syntax-themes = false
+    show-themes = false
+
+    # Git integration
+    git-config = true
+
+[diff]
+    tool = delta
+
+[difftool]
+    prompt = false
+
+[difftool "delta"]
+    cmd = delta "$LOCAL" "$REMOTE"
+
+[merge]
+    tool = delta
+
+[mergetool]
+    prompt = false
+
+[mergetool "delta"]
+    cmd = delta "$LOCAL" "$MERGED" "$REMOTE" --side-by-side

home/.local/share/posting/themes/catppuccin-macchiato-mauve.yaml

@@ -0,0 +1,38 @@
+name: "catppuccin-macchiato-mauve"
+primary: "#c6a0f6" # buttons, fixed table columns
+secondary: "#c6a0f6"  # method selector, some minor labels
+accent: "#e3cffb"  # header text, scrollbars, cursors, focus highlights
+background: "#24273a" # background colors
+surface: "#363a4f"  # panels, etc
+error: "#ed8796"  # error messages
+success: "#a6da95"  # success messages
+warning: "#eed49f"  # warning messages
+dark: "true"
+
+text_area:
+  cursor: "reverse #f4dbd6"
+  cursor_line: "underline #cad3f5"
+  selection: "reverse #939ab7"
+  gutter: "bold #a6da95"
+  matched_bracket: "reverse #b8c0e0"
+
+url:
+  base: "italic #8aadf4"
+  protocol: "bold #8bd5ca"
+  separator: "#cad3f5"
+
+syntax:
+  json_key: "italic #8aadf4"
+  json_number: "#f5a97f"
+  json_string: "#a6da95"
+  json_boolean: "#91d7e3"
+  json_null: "#939ab7"
+
+method:
+  get: "bold #8aadf4"
+  post: "bold #a6da95"
+  put: "bold #eed49f"
+  delete: "bold #ed8796"
+  patch: "bold #8bd5ca"
+  options: "bold #b7bdf8"
+  head: "bold #c6a0f6"

home/.local/share/posting/themes/catppuccin-macchiato-teal.yaml

@@ -0,0 +1,38 @@
+name: "catppuccin-macchiato-teal"
+primary: "#8bd5ca" # buttons, fixed table columns
+secondary: "#8bd5ca"  # method selector, some minor labels
+accent: "#b1e3db"  # header text, scrollbars, cursors, focus highlights
+background: "#24273a" # background colors
+surface: "#363a4f"  # panels, etc
+error: "#ed8796"  # error messages
+success: "#a6da95"  # success messages
+warning: "#eed49f"  # warning messages
+dark: "true"
+
+text_area:
+  cursor: "reverse #f4dbd6"
+  cursor_line: "underline #cad3f5"
+  selection: "reverse #939ab7"
+  gutter: "bold #a6da95"
+  matched_bracket: "reverse #b8c0e0"
+
+url:
+  base: "italic #8aadf4"
+  protocol: "bold #8bd5ca"
+  separator: "#cad3f5"
+
+syntax:
+  json_key: "italic #8aadf4"
+  json_number: "#f5a97f"
+  json_string: "#a6da95"
+  json_boolean: "#91d7e3"
+  json_null: "#939ab7"
+
+method:
+  get: "bold #8aadf4"
+  post: "bold #a6da95"
+  put: "bold #eed49f"
+  delete: "bold #ed8796"
+  patch: "bold #8bd5ca"
+  options: "bold #b7bdf8"
+  head: "bold #c6a0f6"

home/.npmrc

@@ -0,0 +1,2 @@
+strict-ssl=true
+prefix = ${HOME}/.npm-packages

home/radicle-local-hub/.gitconfig.radicle

@@ -0,0 +1,7 @@
+[user]
+	email = artem.shv@proton.me
+	name = xnm
+	signingkey = ~/.radicle/keys/radicle.pub
+
+[core]
+	sshCommand = "ssh -i ~/.radicle/keys/radicle"

nixos/flake.nix

@@ -5,6 +5,7 @@
       nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable";
       rust-overlay.url = "github:oxalica/rust-overlay";
       wezterm.url = "github:wez/wezterm?dir=nix";
+      radicle-tui.url = "git+https://seed.radicle.xyz/z39mP9rQAaGmERfUMPULfPUi473tY.git?rev=dcc51b96a90d6e63cd69fae7f29e896f13816a1f";
   };
 
   outputs = { nixpkgs, ... } @ inputs:
@@ -56,6 +57,7 @@
         ./programming-languages.nix
         ./lsp.nix
         ./rust.nix
+        ./radicle.nix
         ./wasm.nix
         ./info-fetchers.nix
         ./utils.nix

nixos/hyprland.nix

@@ -19,6 +19,8 @@
     hyprlock
     hypridle
     hyprpaper
+    hyprsunset
+    hyprpolkitagent
 
     inputs.wezterm.packages.${pkgs.system}.default
     kitty

nixos/llm.nix

@@ -4,7 +4,7 @@
 
   services.ollama = {
     enable = true;
-    loadModels = [ "llama3.2:3b" "llama3.2-vision:11b" "phi4-reasoning:14b" "deepseek-r1:7b" "dolphin3:8b" "smallthinker:3b" "nomic-embed-text" "gemma3:12b" "gemma3:27b" "deepcoder:14b" "qwen3:14b" ];
+    loadModels = [ "llama3.2:3b" "phi4-reasoning:14b" "dolphin3:8b" "smallthinker:3b" "gemma3n:e4b" "deepcoder:14b" "qwen3:14b" "qwen3-coder:30b"  "nomic-embed-text" ];
     acceleration = "cuda";
   };
 
@@ -23,6 +23,10 @@
     environmentFile = "${config.users.users.xnm.home}/.config/.env.searxng"; # FIXME: The location of the `.env` file where you need to set up the key
   };
 
+  services.n8n = {
+    enable = true;
+  };
+
   services.open-webui = {
     enable = true;
     port = 8888;
@@ -32,12 +36,19 @@
   environment.systemPackages = with pkgs; [
     oterm
     alpaca
+
     aichat
+    fabric-ai
+
     aider-chat
+    opencode
 
     # tgpt
     # smartcat
     # nextjs-ollama-llm-ui
     # open-webui
+
+    chromium
+    playwright
   ];
 }

nixos/lsp.nix

@@ -2,7 +2,7 @@
 
 {
   environment.systemPackages = with pkgs; [
-    python311Packages.python-lsp-server
+    python313Packages.python-lsp-server
     nodePackages_latest.nodemon
     nodePackages_latest.typescript
     nodePackages_latest.typescript-language-server

nixos/programming-languages.nix

@@ -3,7 +3,8 @@
 {
   environment.systemPackages = with pkgs; [
     go
-    (python312Full.withPackages(ps: with ps; [ pygobject3 gobject-introspection pyqt6-sip]))
+    (python313Full.withPackages(ps: with ps; [ pygobject3 gobject-introspection pyqt6-sip]))
+    uv
     nodePackages_latest.nodejs
     nodePackages_latest.pnpm
     bun

nixos/radicle.nix

@@ -0,0 +1,13 @@
+{ inputs, pkgs, ... }:
+
+{
+  services.radicle = {
+    enable = false;
+    checkConfig = false;
+  };
+
+  environment.systemPackages = with pkgs; [
+    inputs.radicle-tui.packages.${pkgs.system}.default
+    radicle-node
+  ];
+}

nixos/screen.nix

@@ -4,7 +4,6 @@
   programs.light.enable = true;
 
   environment.systemPackages = with pkgs; [
-    wlsunset
     brightnessctl
   ];
 }

nixos/security-services.nix

@@ -10,6 +10,11 @@
   # };
 
   # Enable Security Services
+  security.sudo-rs = {
+    enable = true;
+    execWheelOnly = true;
+  };
+  security.sudo.enable = false;
   users.users.root.hashedPassword = "!";
   security.tpm2 = {
     enable = true;
@@ -28,7 +33,7 @@
   security.pam.services = {
     login.enableAppArmor = true;
     sshd.enableAppArmor = true;
-    sudo.enableAppArmor = true;
+    sudo-rs.enableAppArmor = true;
     su.enableAppArmor = true;
     greetd.enableAppArmor = true;
     u2f.enableAppArmor = true;
@@ -69,9 +74,9 @@
         executable = "${lib.getBin pkgs.slack}/bin/slack";
         profile = "${pkgs.firejail}/etc/firejail/slack.profile";
       };
-      telegram-desktop = {
+      Telegram = {
-        executable = "${lib.getBin pkgs.tdesktop}/bin/telegram-desktop";
+        executable = "${lib.getBin pkgs.tdesktop}/bin/Telegram";
-        profile = "${pkgs.firejail}/etc/firejail/telegram-desktop.profile";
+        profile = "${pkgs.firejail}/etc/firejail/Telegram.profile";
       };
       brave = {
         executable = "${lib.getBin pkgs.brave}/bin/brave";

nixos/terminal-utils.nix

@@ -2,16 +2,23 @@
 
 {
   environment.systemPackages = with pkgs; [
+    moreutils
     file
     upx
+    dotenvx
     git
     lazygit
     delta
+    sqlx-cli
+    mermaid-cli
+    posting
     license-generator
     git-ignore
     gitleaks
-    git-secrets
+    # git-secrets
     pass-git-helper
+    jujutsu
+    jjui
     just
     xh
     process-compose
@@ -27,11 +34,18 @@
     tealdeer
     # skim #fzf better alternative in rust
     monolith
+    # taskwarrior3
+    asciinema
+    asciinema-agg
     aria
+    # wormhole-william
+    magic-wormhole-rs
     # macchina #neofetch alternative in rust
+    dogdns
     sd
     ouch
     duf
+    ncdu
     du-dust
     fd
     jq

nixos/users.nix

@@ -18,5 +18,7 @@
   };
 
   # Change runtime directory size
-  services.logind.extraConfig = "RuntimeDirectorySize=8G";
+  services.logind.settings.Login = {
+    RuntimeDirectorySize="8G";
+  };
 }

nixos/utils.nix

@@ -14,6 +14,5 @@
     surrealdb-migrations
     surrealist
     trunk
-    sqlx-cli
   ];
 }

nixos/work.nix

@@ -4,12 +4,14 @@
   environment.systemPackages = with pkgs; [
     slack
     aws-sam-cli
+    google-cloud-sdk
     awscli2
     ssm-session-manager-plugin
     cargo-lambda
     gnumake
     cmake
-    redli
     firebase-tools
+    redli
+    android-studio
   ];
 }

nixos/yubikey.nix

@@ -14,7 +14,7 @@
 
   security.pam.services = {
     greetd.u2fAuth = true;
-    sudo.u2fAuth = true;
+    sudo-rs.u2fAuth = true;
     hyprlock.u2fAuth = true;
   };