fastapi-workflow
FastAPI framework workflow guidelines. Activate when working with FastAPI projects, uvicorn, or FastAPI-specific patterns.
Skills matching the name, description or GitHub author.
FastAPI framework workflow guidelines. Activate when working with FastAPI projects, uvicorn, or FastAPI-specific patterns.
Python FastAPI patterns, Alembic migrations, Pydantic v2, and AI Engineering (raw patterns, LangChain, Google ADK). This skill should be used when working with Python APIs, database migrations, or AI/LLM applic...
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...
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.
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.
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...
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。
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.
FastAPI web framework for building modern APIs with async support
FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.
Modern Python backend stack: FastAPI, SQLAlchemy 2.0, Pydantic v2, uv, ruff. Use when: building Python APIs, async services, or working with Python backend code. Triggers: "fastapi", "python backend", "sqlalche...
Enterprise-grade Python expertise with production patterns for Python 3.13.9, FastAPI 0.115.x, Django 5.2 LTS, Pydantic v2, SQLAlchemy 2.0; activates for API development, ORM usage, async patterns, testing fram...
FastAPI best practices, Pydantic models, SQLAlchemy ORM, async patterns, dependency injection, and JWT authentication. Activate for FastAPI apps, async Python APIs, API design, and modern Python web services.
This skill should be used when the user asks to "add WebSocket", "implement real-time", "create file upload", "add S3 upload", "send email", "implement notifications", "broadcast events", or mentions WebSockets...
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.