langgraph
LangGraph patterns for AI agents and workflows. Use when: building ReAct agents, multi-agent systems, human-in-the-loop, state machines. Do not use for: simple LLM calls (use langchain directly). Workflow: Stan...
Skills matching the name, description or GitHub author.
LangGraph patterns for AI agents and workflows. Use when: building ReAct agents, multi-agent systems, human-in-the-loop, state machines. Do not use for: simple LLM calls (use langchain directly). Workflow: Stan...
REST API design principles, conventions, and patterns. Use when: designing APIs, choosing status codes, error handling, caching, auth patterns. Do not use for: framework-specific implementation (use fastapi, ax...
FastAPI production patterns with Pydantic v2 and SQLAlchemy async. Use when: building Python APIs, async database, JWT auth. Do not use for: API design decisions (use api-design skill). Workflow: api-design (de...
Generate FastAPI project scaffold with uvicorn, OpenAPI docs, and configuration management
This skill should be used when the user asks about "testing FastAPI", "FastAPI tests", "API testing", "test FastAPI endpoints", "mock FastAPI dependencies", "TestClient", "async API tests"
This skill should be used when the user asks about "FastAPI", "FastAPI routes", "FastAPI dependencies", "Pydantic models", "FastAPI middleware", "API endpoints", "OpenAPI", or mentions FastAPI development.
FastAPI framework best practices including Pydantic schemas, dependency injection, and async patterns.
Design and implement RESTful API endpoints following REST principles with proper HTTP methods, status codes, and resource-based URL patterns. Use this skill when creating or modifying API route handlers, contro...
Python 3.13+ 개발 전문가로서 FastAPI, Django, async 패턴, 데이터 과학, pytest를 사용한 테스팅, 그리고 현대적 Python 기능을 다룸. Python API, 웹 애플리케이션, 데이터 파이프라인 개발 또는 테스트 작성 시 사용.
Configure FastAPI for Vercel deployment. Bundled Resources: Includes 'vercel.json', CORSMiddleware, Python logging, Pydantic models, and personalization endpoints.
Implement JWT verification middleware in FastAPI for user auth. Use when securing APIs or handling tokens.
Build FastAPI REST APIs with CORS, JWT auth, Pydantic validation, async endpoints, and proper error handling. Use when creating API endpoints, middleware, or backend services.
执行测试驱动开发的红-绿-重构循环,包含原子提交规范。用于 Python/FastAPI 项目开发。
A conceptual skill for securing FastAPI REST APIs with JWT authentication
Production-grade WebSocket patterns for Python (FastAPI/Starlette) with connection management, rooms, and message protocols
Generate comprehensive database schemas with proper relations, migrations, and ORM/ODM models for PostgreSQL, MongoDB, and SQLite. Use when creating database schemas that integrate with FastAPI applications, in...
Generate comprehensive FastAPI CRUD operations with models, schemas, routes, and database integration. Use when creating REST API endpoints for database entities with full Create, Read, Update, Delete functiona...
Use when designing FastAPI CRUD operations with validation and error handling, architecting microservices with service boundaries and contracts, implementing event streaming with Kafka, configuring DAPR for dis...
Production-grade authentication & authorization covering JWT, cookies, sessions, hashing, MFA, OAuth2, RBAC, and permissions across all frameworks (Next.js, Express.js, FastAPI, Django, Spring, etc.). Includes...
Comprehensive JWT authentication expert for senior developers (10+ years experience). Intelligently detects project language/framework and implements production-ready JWT auth systems with refresh tokens, secur...
Comprehensive FastAPI knowledge for building production-ready APIs from basic to planet-scale. Use when building FastAPI applications, implementing REST APIs, setting up database operations with SQLModel, imple...
Implement secure authentication bridge between Better Auth (Next.js frontend) and FastAPI (Python backend) using JWKS JWT token verification. Use this skill when users need to (1) Integrate Better Auth with Fas...
Complete guide for creating, publishing, and consuming events in the DeLoNET home network's 33GOD agentic developer pipeline. Built on RabbitMQ with strict type safety via Pydantic, async Python (aio-pika), Fas...
Complete guide for creating, publishing, and consuming events in the DeLoNET home network's 33GOD agentic developer pipeline. Built on RabbitMQ with strict type safety via Pydantic, async Python (aio-pika), Fas...
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