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Trouvez la capacité idéale pour votre agent.
export-conversation
Export the current Claude Code conversation to an Excel (.xlsx) file with columns for Prompt, Summary, and Output. Use when user asks to export, save, or document the conversation. Requires Python with openpyxl.
python-patterns
This skill should be used when the user asks about "Python best practices", "Pythonic code", "Python patterns", "Python idioms", "type hints", "dataclasses", "async Python", "Python decorators", "context managers"
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Use when building MCP servers to integrate APIs, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
langgraph-v1
Use when writing or refactoring Python code for LangGraph v1.x + LangChain v1: Graph API + Functional API import paths, checkpoint/store usage, and migrations off deprecated prebuilts (create_react_agent -> langchain.agents.create_agent).
python-backend
Python backend developer for FastAPI, Django, Flask APIs with SQLAlchemy, Django ORM, Pydantic validation. Implements REST APIs, async operations, database integration, authentication, data processing with pandas/numpy, machine learning integration, background tasks with Celery, API documentation with OpenAPI/Swagger. Activates for Python, Python backend, FastAPI, Django, Flask, SQLAlchemy, Django ORM, Pydantic, async Python, asyncio, uvicorn, REST API Python, authentication Python, pandas, numpy, data processing, machine learning, ML API, Celery, Redis Python, PostgreSQL Python, MongoDB Python, type hints, Python typing.
develop-fastapi-app
Build production-ready FastAPI applications with best practices for project structure, async patterns, Pydantic models, dependency injection, database operations, and testing. Use when developing FastAPI backends, REST APIs, or Python async web services.
homeassistant
Expert HomeAssistant development skill for creating custom sensors (template, REST, command line, Python components), building Lovelace dashboards with custom cards and layouts, and developing custom integrations with config flows, coordinators, and multiple platforms. Use this skill when working with HomeAssistant YAML configuration, Python integration development, or dashboard customization.
gemini-genai
Google python-genai SDK for Gemini 3 Flash, Gemini 3 Pro, and Gemini models. Use when building with Google's Gemini API, google-genai, implementing thinking/reasoning, structured outputs, function calling, image generation, or multimodal. Triggers on "gemini", "google ai", "genai".
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
a2a-agent
Comprehensive A2A (Agent-to-Agent) development toolkit for building Python agents using a2a-sdk and FastAPI. Use when creating new A2A agents, implementing agent handlers, adding streaming capabilities, testing agents, or deploying agents. Triggers include "a2a agent", "agent-to-agent", "a2a-sdk", "create agent", "agent handler", "streaming agent", or when working with FastAPI-based agent architectures.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
microsoft-agent-framework
Expert guidance for building AI agents using Microsoft Agent Framework. Use when creating single agents, multi-agent workflows, chat applications, or integrating tools with LLMs. Covers ChatAgent, tools (@ai_function), orchestration patterns (GroupChat, Sequential, Concurrent, Handoff), memory/state management, observability, and declarative YAML agents. Supports Python and .NET.
agent-builder-pydantic-ai
Build conversational AI agents using Pydantic AI + OpenRouter. Use when creating type-safe Python agents with tool calling, validation, and streaming.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
python-engineer
Expert Python engineering for code review, quality improvement, and debugging. Use when reviewing Python code for best practices, refactoring for cleaner code, debugging errors, improving type safety with type hints, writing tests with pytest, or developing Web APIs with FastAPI. Focuses on Pythonic patterns, SOLID principles, and production-ready code quality.
inspecting-the-environment
Fast environment briefing for agents and subagents. Use at session start to learn OS/shell, container/WSL/VM status, git repo + upstream + dirty state, Python venv status/locations, markdown folders to read, and availability of common tools (uv, mcpc, rg/grep/jq/git/python/node/npm/pnpm, etc.).
fastapi
Comprehensive FastAPI development skill for building Python web APIs from hello world to production-ready applications. Use when building REST APIs, implementing authentication, integrating databases, adding WebSockets, creating microservices, or any FastAPI development task. Covers project scaffolding, CRUD operations, testing, deployment, and best practices.
agent-sdk-definitions
Programmatic agent definitions for the Claude Agent SDK in TypeScript and Python. Use when creating agents for SDK-based applications rather than filesystem-based Claude Code.
skills-factory-generator
Generate complete, production-ready Claude Code Skills based on business domain and use cases. Use this skill when you want to CREATE NEW SKILLS, BUILD SKILL PACKAGES, or GENERATE AUTOMATION TOOLS for any business domain. Creates self-contained skill packages with SKILL.md, Python scripts, test data, and sample prompts following best practices.
