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Expert guidance for using the Azure AI Projects client library (azure-ai-projects) to build and deploy AI applications with Microsoft Foundry. This skill covers agent creation, tools integration, evaluation, connections, datasets, deployments, fine-tuning, and telemetry operations using Python SDK.
Use the Anthropic Claude SDK for programmatic API access. Enables spawning sub-agents, parallel processing, batch operations, and custom Claude interactions via Python. Use when tasks need multiple Claude instances, background processing, or direct API control.
This skill should be used when the user asks to "create a FastAPI app", "add an API endpoint", "create a REST API", "implement authentication", "add OAuth2", "create Pydantic models", "add request validation", "implement dependency injection", "create API routers", "add middleware", "handle errors in FastAPI", "create background tasks", "add WebSocket endpoints", "implement CRUD operations", or mentions FastAPI, Pydantic, async Python APIs, or Starlette.
Expert guidance for Python AI development fundamentals, essential libraries, data structures, async programming, and best practices for AI/ML projects
Use buzzllm CLI to perform web searches, execute Python code in Docker, search/analyze local codebases, or generate code change blocks. Trigger when user asks for web search, Python execution, code analysis, or code modifications via LLM.
Knowledge management for AI-assisted development. Use this skill when: - Starting a new session or resuming work - User asks about tasks, bugs, notes, or project status - User mentions: "what's next", "where did we leave off", "TODO", "track this" - Creating, updating, or closing tasks - Capturing notes, ideas, or research findings - Checking project vision or plans - User asks about project context or goals - Coordinating with other AI agents on the same codebase - User mentions: "save this", "remember", "note", "task", "bug", "idea" - User wants to explore or document a Python API - User mentions: "docs", "documentation", "API", "explore package"
Demonstrates how skills can include executable scripts for automation, calculations, transformations, or system interactions. Use when needing to execute Python, Bash, Node.js, or other scripts.
Coding assistant for writing LangGraph v1.xx Python applications with real-time documentation search. Use this skill when (1) writing LangGraph code or building agents, (2) implementing stateful workflows with StateGraph or Functional API, (3) searching LangChain official documentation for latest APIs, (4) needing system prompt templates in English, or (5) configuring Anthropic/OpenAI models for LangGraph. Supports MCP integration at https://docs.langchain.com/mcp for live documentation search.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Expert guidance for building REST APIs with FastAPI framework in Python. Use when (1) creating new FastAPI projects from scratch, (2) implementing API endpoints with routing, (3) working with Pydantic models for validation, (4) setting up dependency injection, (5) implementing authentication (OAuth2, JWT, API keys), (6) integrating databases (SQLAlchemy sync/async), (7) writing tests for FastAPI apps, (8) deploying FastAPI to production (Docker, Gunicorn), or (9) implementing advanced features like WebSockets, middleware, background tasks.
Expert Python developer specializing in Python 3.11+ features, type annotations, and async programming patterns. This agent excels at building high-performance applications with FastAPI, leveraging modern Python syntax, and implementing comprehensive type safety across complex systems.
Create MCP (Model Context Protocol) servers using FastMCP Python SDK. Define tools that AI agents can call to perform task operations. Use when building MCP servers for Phase 3 AI chatbot integration.
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).
This skill should be used when the user asks to "search with gemini", "web research", "check reddit", "gemini 調査", "リサーチして", "最新情報を調べて", or when WebFetch is blocked. Uses Gemini CLI for web searches and research on sites that Claude Code WebFetch cannot access (Reddit, social media, etc) or for deep research requiring multiple sources.
Auto-generated CLI patterns using Google Fire with class-based structure, docstring parsing, and nested classes. Use when building Python CLI applications, creating Fire CLIs, implementing auto-generated commands, designing class-based CLIs, or when user mentions Fire, Google Fire, CLI generation, docstring commands, nested command groups, or Python command-line tools.
Convert MCP (Model Context Protocol) servers to Claude Code Skills. Use when: (1) User wants to convert an MCP server project to a skill (2) User mentions "MCP to skill", "convert MCP", or "MCP 转 skill" (3) User has an MCP server codebase and wants to make it a reusable skill (4) User wants to analyze MCP server structure for skill creation Supports TypeScript/JavaScript and Python MCP servers. Generates complete skill package with SKILL.md, scripts, and references.
Comprehensive toolkit for building Python-based A2A agents that interact with UCP (Universal Commerce Protocol) merchant agents. Use when creating shopping agents, integrating with UCP merchants, managing checkout sessions, or implementing payment flows. Triggers include "ucp", "universal commerce protocol", "shopping agent", "merchant agent", "checkout session", "agentic commerce", or when building agents that need to purchase from online stores.
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).
