using-context7
Expert at finding and using official documentation via Context7 MCP for Next.js 16, React 19, FastAPI, Better Auth, and SQLModel. Teaches WHEN to query (framework specifics, not basics) and HOW to query effecti...
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Expert at finding and using official documentation via Context7 MCP for Next.js 16, React 19, FastAPI, Better Auth, and SQLModel. Teaches WHEN to query (framework specifics, not basics) and HOW to query effecti...
Expert in FastAPI async endpoint patterns, dependency injection, request/response models, error handling, and CORS configuration. Use for all backend API implementations.
Expert in Better Auth setup for Next.js 16 with JWT token flow. Covers frontend authentication (hooks, signIn/signOut), backend JWT verification in FastAPI, token structure, and secure configuration. Use for al...
This skill should be used when integrating OpenAI Agents SDK with FastAPI, building message arrays from database history, running agents with MCP tools, parsing tool calls, executing them, and saving conversati...
This skill should be used when setting up a stateless MCP (Model Context Protocol) server in FastAPI using the Official MCP SDK with 5 task management tools that interact with SQLModel database.
FastAPI Python backend in api/. Covers routes, models, Supabase integration, authentication, R2 storage, and Cloudflare Workers deployment. Port 9990 for local dev. OpenAPI docs at /docs.
Implement AsyncIO patterns for I/O-bound tasks with asyncio.gather, semaphores, and FastAPI async endpoints. Use for concurrent operations, parallel HTTP fetches, rate-limited operations, or async API developme...
Complete patterns for containerizing applications with Docker: Dockerfiles, multi-stage builds, layer optimization, security best practices, and production-ready configurations for Python/FastAPI and Node.js/Ne...
Patterns for building AI-powered chatbot backends using OpenAI Agents SDK with MCP (Model Context Protocol) server integration in FastAPI applications. Supports both standalone MCP servers and function tools.
Standard patterns for building and maintaining CRUD APIs with FastAPI and SQLModel: models, routers, database access, and error handling in a reusable way.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyze...
バックエンド開発(FastAPI/Python)のベストプラクティスと規約
Backend testing with pytest including fixtures, mocking, async tests, and database testing. Use for FastAPI/Python test implementation.
Backend testing with pytest including fixtures, mocking, async tests, and database testing. Use for FastAPI/Python test implementation.
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
Start or stop the user-management FastAPI app. Use when you need to tun or kill the dev server.
This skill should be used when the user uses ambiguous terminology like "make it talk", "we need an api", "make it portable", "check for gaps", asks meta-questions like "am I making sense?", "does this make sen...
Turn the model into a SQLAlchemy-focused Python coding agent for designing models, writing queries, debugging database issues, and integrating SQLAlchemy with Alembic and FastAPI in new or existing Python proje...
FastAPI 기반 API 개발 스킬. 엔드포인트 생성, 스키마 정의, 미들웨어 작업 시 자동으로 활성화됩니다. endpoint, route, schema, pydantic, fastapi 키워드에 반응합니다.
FastAPI 엔드포인트 상태 점검. async 패턴, Pydantic 모델, 캐싱, 에러 핸들링 검토
Create comprehensive Python test suites with pytest. Supports unit, integration, e2e, and user flow tests. Dual-mode testing for FastAPI (direct code + live API). Uses functional style (no test classes). File n...
Create Python projects with modern best practices. Use when asked to create a Python project, FastAPI app, CLI tool, or Python package. Includes uv for package management, Docker, pre-commit, ruff, FastAPI with...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.