按技能名称、说明或 GitHub 作者匹配的结果。
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...
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.
DDDアーキテクチャでFastAPIのバックエンドを新規実装または既存コードベースをリファクタリングする際のガイド。レイヤー構成（domain/application/infrastructure/controller）、依存方向、責務境界、pydantic/sqlalchemy(sq...
Expert skill for connecting frontend and backend with Better Auth, implementing user-isolated secure authentication using JWT tokens on every API call with rate limiting in Next.js 16 frontend and FastAPI backe...
Validates REST API implementations against OpenAPI 3.x specifications. Use when (1) Implementing or reviewing API endpoints, (2) Before deploying API changes to production, (3) Ensuring contract compliance betw...
Design, generate, and fully deploy a stylish, production-ready Retrieval-Augmented Generation (RAG) chatbot embedded directly into any website/project. Uses OpenAI ChatKit widget + Cohere embeddings + Qdrant Cl...
Modern Python development with uv, FastAPI, Pydantic, and clean architecture. Use for Python project setup, LLM app development, API design, testing strategy, and architecture decisions. Ideal for TypeScript de...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。