beau-lewis/beau-lewis-first-assistant icon
public
Published on 6/17/2025
My First Assistant

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.

Rules
Prompts
Models
Context
relace Relace Instant Apply model icon

Relace Instant Apply

relace

40kinput·32koutput
anthropic Claude 3.7 Sonnet model icon

Claude 3.7 Sonnet

anthropic

200kinput·8.192koutput
anthropic Claude 3.5 Haiku model icon

Claude 3.5 Haiku

anthropic

200kinput·8.192koutput
mistral Codestral model icon

Codestral

mistral

voyage Voyage AI rerank-2 model icon

Voyage AI rerank-2

voyage

voyage voyage-code-3 model icon

voyage-code-3

voyage

anthropic Claude 4 Sonnet model icon

Claude 4 Sonnet

anthropic

200kinput·64koutput
openai OpenAI GPT-4.1 model icon

OpenAI GPT-4.1

OpenAI

1047kinput·32.768koutput
anthropic Claude 4 Opus model icon

Claude 4 Opus

anthropic

200kinput·32koutput
gemini Gemini 2.5 Pro model icon

Gemini 2.5 Pro

gemini

1048kinput·65.536koutput
openai OpenAI GPT-4o model icon

OpenAI GPT-4o

OpenAI

128kinput·16.384koutput
gemini Gemini 2.0 Flash model icon

Gemini 2.0 Flash

gemini

1048kinput·8.192koutput
openai o3-mini model icon

o3-mini

OpenAI

200kinput·100koutput
lmstudio deepseek-r1 8b model icon

deepseek-r1 8b

lmstudio

deepinfra Qwen2.5 Coder 32B Instruct model icon

Qwen2.5 Coder 32B Instruct

deepinfra

ncompass Qwen 2.5 Coder 32b model icon

Qwen 2.5 Coder 32b

ncompass

lmstudio qwen2.5-coder 1.5b model icon

qwen2.5-coder 1.5b

lmstudio

ollama deepseek-r1 8b model icon

deepseek-r1 8b

ollama

128kinput·32.768koutput
deepinfra DeepSeek R1 model icon

DeepSeek R1

deepinfra

anthropic CodeGate Anthropic model icon

CodeGate Anthropic

anthropic

novita deepseek-r1 model icon

deepseek-r1

novita

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
- 

## Testing Guidelines
- 

## Code Style & Guidelines 
- 

## Documentation Guidelines 
- 
## 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.
Pythonhttps://docs.python.org/3/
Continuehttps://docs.continue.dev

Prompts

Learn more
Write Cargo test
Write unit test with Cargo
Use Cargo to write a comprehensive suite of unit tests for this function
My prompt
Sequential Thinking Activation
<!-- 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>

Context

Learn more
@code
Reference specific functions or classes from throughout your project
@docs
Reference the contents from any documentation site
@diff
Reference all of the changes you've made to your current branch
@terminal
Reference the last command you ran in your IDE's terminal and its output
@problems
Get Problems from the current file
@folder
Uses the same retrieval mechanism as @Codebase, but only on a single folder
@codebase
Reference the most relevant snippets from your codebase
@file
Reference any file in your current workspace
@open
Reference the contents of all of your open files

No Data configured

MCP Servers

Learn more

Playwright

npx -y @executeautomation/playwright-mcp-server

Browser MCP

npx -y @browsermcp/mcp@latest

Sequential Thinking

docker run --rm -i mcp/sequentialthinking

Memory

npx -y @modelcontextprotocol/server-memory

Repomix

npx -y repomix --mcp

Tavily Search

npx -y tavily-mcp@0.1.4

Git

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

GitHub

npx -y @modelcontextprotocol/server-github

Filesystem

npx -y @modelcontextprotocol/server-filesystem ${{ secrets.beau-lewis/beau-lewis-first-assistant/anthropic/filesystem-mcp/PATH }}

Gitlab

docker run -e GITLAB_PERSONAL_ACCESS_TOKEN -e GITLAB_API_URL mcp/gitlab

Stakpak

npx @stakpak/mcp@latest --output=text

Github

docker run -i --rm -e GITHUB_PERSONAL_ACCESS_TOKEN mcp/github

Brave Search

npx -y @modelcontextprotocol/server-brave-search