GitHub
fastapi-templates
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
☆ 27,752Voir le skill
Résultats pour « FastAPI »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Catégories: data ai productivity tools
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GitHub
python-development
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.
☆ 783Voir le skill
GitHub
fastapi-expert
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
☆ 312Voir le skill
GitHub
fastapi-templates
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
☆ 129Voir le skill
GitHub
project-scaffolding
IDE-grade project scaffolding wizard for creating new projects with comprehensive configuration. Supports 70+ project types: HTML/CSS websites, React, Next.js, Vue, Astro, Remix, React Native, Flutter, Expo, Fa...
☆ 124Voir le skill
GitHub
fullstack-template-generator
Generates a complete fullstack application template with Python FastAPI backend and React Vite frontend. Includes OpenAI ChatGPT integration, CORS configuration, comprehensive error handling, and a modern Tailw...
☆ 51Voir le skill
GitHub
moai-lang-python
Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or...
☆ 48Voir le skill
GitHub
software-backend
Production-grade backend API development with Node.js 24 LTS/25 Current (Express 5.x/Fastify 5.2/NestJS 11.x/Hono 4.x), Bun 1.2+, Python 3.14+ (FastAPI 0.115+), Go 1.25+, Rust 1.92+ (Axum 0.8+), Prisma 6.x/Driz...
☆ 31Voir le skill
GitHub
python-backend
Python backend developer for FastAPI, Django, Flask APIs with SQLAlchemy, Django ORM, Pydantic validation. Implements REST APIs, async operations, database integration, authentication, data processing with pand...
☆ 28Voir le skill
GitHub
fastapi-expert
Expert FastAPI developer specializing in production-ready async REST APIs with Pydantic v2, SQLAlchemy 2.0, OAuth2/JWT authentication, and comprehensive security. Deep expertise in dependency injection, backgro...
☆ 25Voir le skill
GitHub
fastapi-backend
Build production-grade FastAPI backends with SQLModel, Pydantic, and JWT authentication. Use this skill when building REST APIs, integrating with Neon PostgreSQL, implementing Better Auth JWT verification, or c...
☆ 21Voir le skill
GitHub
grey-haven-api-design
Design RESTful APIs following Grey Haven standards - FastAPI routes, Pydantic schemas, HTTP status codes, pagination, filtering, error responses, OpenAPI docs, and multi-tenant patterns. Use when creating API e...
☆ 19Voir le skill
GitHub
grey-haven-ontological-documentation
Create comprehensive ontological documentation for Grey Haven systems - extract domain concepts from TanStack Start and FastAPI codebases, model semantic relationships, generate visual representations of system...
☆ 19Voir le skill
GitHub
grey-haven-project-structure
Organize Grey Haven projects following standard structures for TanStack Start (frontend) and FastAPI (backend). Use when creating new projects, organizing files, or refactoring project layout.
☆ 19Voir le skill
GitHub
moai-lang-python
Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or...
☆ 18Voir le skill
GitHub
sentry-python-setup
Setup Sentry in Python apps. Use when asked to add Sentry to Python, install sentry-sdk, or configure error monitoring for Python applications, Django, Flask, FastAPI.
☆ 18Voir le skill
GitHub
warnerco-schematica
Develop and extend the WARNERCO Robotics Schematica system - an agentic RAG application with FastAPI, FastMCP, LangGraph orchestration, and 3-tier memory (JSON/Chroma/Azure AI Search). Use when working on the s...
☆ 17Voir le skill
GitHub
python-modal
Modern Python patterns for Modal.com serverless platform. PROACTIVELY activate for: (1) Modal function deployment, (2) Type-safe Modal with Pydantic, (3) Async patterns in Modal, (4) GPU workloads (ML inference...
☆ 13Voir le skill
GitHub
celery
Distributed task queue system for Python enabling asynchronous execution of background jobs, scheduled tasks, and workflows across multiple workers with Django, Flask, and FastAPI integration.
☆ 12Voir le skill
GitHub
dipeo-backend
Router skill for DiPeO backend ecosystem (server/ and cli/): FastAPI server, CLI tools, database, MCP integration. Use when task mentions CLI commands, server endpoints, database queries, or MCP tools. For simp...
☆ 12Voir le skill
GitHub
backend-expert
Backend expert for Python 3.12, FastAPI, and SQLite code review and debugging. Use this skill when reviewing, analyzing, or fixing backend code involving FastAPI routes, SQLite database operations, or API integ...
☆ 10Voir le skill
GitHub
api-design-patterns
Provides REST and GraphQL API design patterns for Node.js, Flask, and FastAPI. Use when designing endpoints, request/response structures, API architecture, pagination, authentication, rate limiting, or when wor...
GitHub
lang-python
This skill should be used when the user asks to "write Python code", "debug a Python script", "set up a Python project", "explain Python concepts", or mentions Python-specific libraries like FastAPI, Django, or...
GitHub
python-fastapi-ai
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...
Catégories populaires
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.