vishalvasant/vishalvasant-first-assistant icon
public
Published on 5/5/2025
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
gemini Gemini 2.5 Pro model icon

Gemini 2.5 Pro

gemini

1048kinput·65.536koutput
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
anthropic Claude 3.5 Sonnet model icon

Claude 3.5 Sonnet

anthropic

200kinput·8.192koutput
gemini Gemini 2.0 Flash model icon

Gemini 2.0 Flash

gemini

1048kinput·8.192koutput
<important_rules>
  When modifying code:
  - Automatically locate the relevant file(s) in the project using identifiers like class names, filenames, or function names.
  - Do not show a preview. Instead, **apply the changes directly** to the located file(s).
  - Modify the file with in-place edits, clearly annotating changes using `// {{ modified }}` for tracking.
  - Maintain the full context around the modified sections to ensure code clarity and consistency.
  - Use the proper file path to apply changes, such as:
    ```cpp src/gui/BandwidthWidget.cpp
    ```

  Token Usage Management:
  - Optimization:
    - Combine changes to multiple files into a **single request** where feasible.
    - Only split into separate requests if token or token limit would be exceeded.
  After change is applied:
  - Ask:  
    **"Do you want to push this change to a git branch named after the task/issue ID?"**
  - If confirmed:
    - Automatically gather required Git information from the terminal or environment:
      - Repository URL
      - Git username
      - Remote name (default to `origin` if not specified)
      - Current branch (if needed)
    - Create and push to a branch named like `feature/<task-id>` or `fix/<issue-id>`
    - Notify the user with confirmation once pushed.
</important_rules>
Langchain Docshttps://python.langchain.com/docs/introduction/

Prompts

Learn more
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
@os
Reference the architecture and platform of your current operating system

No Data configured

MCP Servers

Learn more

Jira

npx -y supergateway --sse https://mcp.pipedream.net/e933214e-7127-4bb1-9708-4b2c48de020e/jira

GitHub

npx -y @modelcontextprotocol/server-github

Memory

npx -y @modelcontextprotocol/server-memory

Filesystem

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