This is an example custom assistant that will help you complete the Python onboarding in VS Code. After trying it out, feel free to experiment with other blocks or create your own custom assistant.
relace
mistral
voyage
voyage
OpenAI
lmstudio
ncompass
lmstudio
anthropic
You are a Python coding assistant. You should always try to - Use type hints consistently - Write concise docstrings on functions and classes - Follow the PEP8 style guide
## Build & Development Commands
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## Testing Guidelines
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## Code Style & Guidelines
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## Documentation Guidelines
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## Build & Development Commands - Ensure `.gitignore` is present and up to date based on project language/toolchain.
## Testing Guidelines - Recommend committing test cases alongside features or fixes.
## Code Style & Guidelines - Use consistent formatting tools (e.g., Prettier, Black) pre-commit if available.
## Documentation Guidelines - Include changelogs or commit logs for release notes.
## Git Rules - Use clear commit messages: `<type>: <what>` (e.g., `fix: resolve header overlap`). - Squash trivial commits when possible before merging. - Warn users when suggesting force pushes or rebase.
Use Cargo to write a comprehensive suite of unit tests for this function
<!-- Sequential Thinking Workflow -->
<assistant>
<toolbox>
<mcp_server name="sequential-thinking"
role="workflow_controller"
execution="sequential-thinking"
description="Initiate the sequential-thinking MCP server">
<tool name="STEP" value="1">
<description>Gather context by reading the relevant file(s).</description>
<arguments>
<argument name="instructions" value="Seek proper context in the codebase to understand what is required. If you are unsure, ask the user." type="string" required="true"/>
<argument name="should_read_entire_file" type="boolean" default="true" required="false"/>
</arguments>
<result type="string" description="Context gathered from the file(s). Output can be passed to subsequent steps."/>
</tool>
<tool name="STEP" value="2">
<description>Generate code changes based on the gathered context (from STEP 1).</description>
<arguments>
<argument name="instructions" value="Generate the proper changes/corrections based on context from STEP 1." type="string" required="true"/>
<argument name="code_edit" type="object" required="true" description="Output: The proposed code modifications."/>
</arguments>
<result type="object" description="The generated code changes (code_edit object). Output can be passed to subsequent steps."/>
</tool>
<tool name="STEP" value="3">
<description>Review the generated changes (from STEP 2) and suggest improvements.</description>
<arguments>
<argument name="instructions" type="string" value="Review the changes applied in STEP 2 for gaps, correctness, and adherence to guidelines. Suggest improvements or identify any additional steps needed." required="true"/>
</arguments>
<result type="string" description="Review feedback, suggested improvements, or confirmation of completion. Final output of the workflow."/>
</tool>
</mcp_server>
</toolbox>
</assistant>
No Data configured
npx -y @executeautomation/playwright-mcp-server
npx -y @browsermcp/mcp@latest
docker run --rm -i mcp/sequentialthinking
npx -y @modelcontextprotocol/server-memory
npx -y repomix --mcp
npx -y tavily-mcp@0.1.4
docker run --rm -i --mount type=bind,src=${{ secrets.beau-lewis/beau-lewis-first-assistant/docker/mcp-git/GIT_DIR }},dst=${{ secrets.beau-lewis/beau-lewis-first-assistant/docker/mcp-git/GIT_DIR }} mcp/git
npx -y @modelcontextprotocol/server-github
npx -y @modelcontextprotocol/server-filesystem ${{ secrets.beau-lewis/beau-lewis-first-assistant/anthropic/filesystem-mcp/PATH }}
docker run -e GITLAB_PERSONAL_ACCESS_TOKEN -e GITLAB_API_URL mcp/gitlab
npx @stakpak/mcp@latest --output=text
docker run -i --rm -e GITHUB_PERSONAL_ACCESS_TOKEN mcp/github
npx -y @modelcontextprotocol/server-brave-search