Skills matching the name, description or GitHub author.
Use when starting a new session without feature-list.json, setting up project structure, or breaking down requirements into atomic features. Load in INIT state. Detects project type (Python/Node/Django/FastAPI)...
Building REST APIs with FastAPI, Pydantic validation, and OpenAPI. Use when creating routes, handling requests, designing endpoints, implementing validation, error responses, pagination, or generating API docum...
Run and verify backend tests for the FastAPI/Python application.
Modern Python development with Python 3.12+, Django, FastAPI, async patterns,
Senior Python Backend Engineer skill for FastAPI. Use when scaffolding production-ready APIs, enforcing clean architecture, optimizing async patterns, or auditing FastAPI codebases.
Comprehensive pytest skill for async Python testing with proper mocking, fixtures, and patterns from production-ready test suites. Use when writing or improving async tests for Python applications, especially F...
Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill whe...
Expert skill for implementing JWT-based authentication in FastAPI applications. Handles token generation, verification, user authentication, protected routes, and security best practices. Includes setup for pas...
Expert skill for implementing Better Auth with JWT tokens and JWKS (JSON Web Key Set) for secure authentication between Next.js frontend and FastAPI backend. Handles JWT token generation, verification, JWKS end...
Expert skill for implementing authentication in Docusaurus static sites. Handles FastAPI backend setup for authentication, JWT token management, and secure API communication. Includes setup for static site gene...
非同期パターン、依存性注入、包括的なエラー処理を備えた本番環境対応のFastAPIプロジェクトを作成。新しいFastAPIアプリケーションの構築またはバックエンドAPIプロジェクトのセットアップ時に使用。
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",...
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",...
FastAPI, REST APIs, GraphQL, data service design, and API best practices
[Extends backend-developer] Python FastAPI specialist. Use for FastAPI apps, async endpoints, Pydantic v2, SQLAlchemy async, dependency injection. Invoke alongside backend-developer for Python API projects.
Generates FastAPI endpoints with proper Pydantic models, dependency injection, async handlers, and OpenAPI documentation. Use when building Python REST APIs.
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth...
FastAPI Python backend for LLM Arena game server. Use when working on API endpoints, LLM provider integration via LiteLLM, game move processing, prompt engineering for AI players, error handling, or backend tes...
Python backend expert. PROACTIVELY use when working with Django, FastAPI, Flask, Python APIs. Triggers: python, django, fastapi, flask, async python
Kailash Nexus - zero-config multi-channel platform for deploying workflows as API + CLI + MCP simultaneously. Use when asking about 'Nexus', 'multi-channel', 'platform deployment', 'API deployment', 'CLI deploy...
Python開発ガイド。FastAPI、Django、Flask、型ヒント、非同期処理、データ処理、パフォーマンス最適化など、Pythonアプリケーション開発のベストプラクティス。
Celery 5.3+ distributed task queue with Beat scheduler, Redis/RabbitMQ brokers, workflow patterns, and FastAPI integration. Use for background jobs, periodic tasks, and async processing.
Python 3.11+ development with type hints, async patterns, FastAPI, and pytest. Use for backend services, CLI tools, data processing, and API development.
Builds high-performance FastAPI applications with async/await, Pydantic v2, dependency injection, and SQLAlchemy. Use when creating Python REST APIs, async backends, or microservices.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.