Agent skill
add-backend-tool
Add a new tool to the backend OpenAI function calling system. Use when user mentions "new tool", "add tool", "backend function", "agent capability", or wants to extend what the AI agent can do.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/add-backend-tool
SKILL.md
Add Backend Tool
Instructions
-
Read
backend/main.pyto understand existing tool patterns:- Find the
toolslist with function definitions - Review helper functions (read_file, write_file, run_terminal_command, web_search)
- Find the
-
Create the helper function:
pythondef new_tool_name(param1: str, param2: int = 10) -> str: """Docstring explaining the tool.""" try: # Implementation return result except Exception as e: return f"Error: {str(e)}" -
Add tool definition to the
toolslist:python{ "type": "function", "function": { "name": "new_tool_name", "description": "What this tool does and when to use it", "parameters": { "type": "object", "properties": { "param1": {"type": "string", "description": "..."}, "param2": {"type": "integer", "description": "..."} }, "required": ["param1"] } } } -
Add tool invocation handler in the WebSocket message loop:
pythonelif func_name == "new_tool_name": result = new_tool_name(**args) -
Update mode restrictions if needed:
- Agent mode: full access
- Chat mode: add to allowed list only if read-only/safe
Examples
- "Add a tool to list directory contents"
- "Create a tool for git operations"
- "Add web scraping capability"
Guardrails
- Include proper error handling with try/except
- Add timeout for any long-running operations
- Consider security implications (Chat mode restrictions)
- Never hardcode API keys or secrets
- Document the tool's purpose in the function docstring
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