fastapi-expert
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
python-fastapi-development
Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
serving-models
Production model serving with vLLM, TGI, Ollama, Triton, FastAPI endpoints, batching, and GPU optimization
fastapi-router-py
Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or add...
fastapi-development
FastAPI project structure, Router organization, Dependency injection, Pydantic v2 models, Background tasks, WebSocket endpoints, Middleware, CORS, OpenAPI customization
Building FastAPI Enterprise
Tactical blueprint for production-grade FastAPI applications. Focuses on procedural execution, tool-calling sequences, and idiomatic best practices.
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.
backend-developer
Specialized skill for Python backend development using FastAPI, SQLAlchemy, and Pydantic.
backend-development
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 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
python-dev
This skill provides patterns and templates for Python 3.13 development with FastAPI and modern tooling. It should be activated when creating Python APIs, scripts, data processing pipelines, or pytest tests.
python-cola-skill
Python COLA architecture guide - adapts Alibaba's COLA (Clean Object‑Oriented and Layered Architecture) to Python/Flask/FastAPI projects. For Python backend DDD layered architecture design, code structure standards, and application architecture refactoring. Applicable scenarios: Python DDD, Flask architecture, FastAPI architecture, Python layered architecture, clean architecture, hexagonal architecture, onion architecture, COLA, code layering, module partitioning, Gateway pattern, Repository pattern, CQRS, architecture refactoring, separation of concerns. Automatically applies COLA directory structure and naming conventions when creating Python files.
agentic-ai-dev
This skill provides patterns and templates for building production AI agents with Python 3.13, LangChain v1.2.8, LangGraph v1.0.7, and FastAPI 0.128.x. Use when creating AI agents, RAG systems, graph workflows, tools, memory systems, or agent tests.
fba
FastAPI Best Architecture (fba) project development guide. Provide complete architecture specifications, coding styles, and plugin development guidance.
fastapi-project
Scaffold and evolve FastAPI projects with uv-based tooling, structured settings, and production-ready observability, resilience, availability, and security patterns aligned with python.instructions.md.
python-pro
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. Use PROACTIVELY for Python development, optimization, or advanced Python patterns.
new-dependency
Generate a FastAPI dependency injection function
Python Services
Patterns for building Python CLI tools, asynchronous/parallel programs, and backend services. Use when creating CLI apps, async/parallel Python code, FastAPI services, background jobs, or when configuring Python project tooling (uv, ruff, ty).
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.
python-development-python-scaffold
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
FastAPI
FastAPI — route definitions, dependency injection, Pydantic models, middleware, and async patterns.
chatkit-integration
Integrate OpenAI ChatKit with Python backends using FastAPI and the OpenAI Agents SDK. Use when setting up ChatKit servers, fixing CORS issues, handling conversation history, or connecting React frontends to ChatKit backends.
fastapi-router-py
Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or add...
backend-development
Build backends with Node.js, Python, Go (NestJS, FastAPI, Django). Use for REST/GraphQL/gRPC APIs, auth (OAuth, JWT), databases, microservices, security (OWASP), Docker/K8s.
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.
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.
azure-cosmos-db-py
Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service...
mcp-creator
Build production-ready MCP servers using FastMCP v3. Guides research, scaffolding, tool/resource/prompt implementation, testing, and deployment. Targets FastMCP 3.0.0rc2 with Providers, Transforms, middleware, OAuth, and composition. Use when creating MCP servers, integrating APIs via MCP, converting OpenAPI specs or FastAPI apps, or troubleshooting FastMCP issues. NOT for building REST APIs, CLI tools, or non-MCP integrations.
fastapi-backend
Expert guidance for FastAPI backend development with RESTful API best practices. Use when building FastAPI applications, creating REST endpoints, implementing CRUD operations, setting up Pydantic models, configuring CORS/middleware, or integrating with databases. Triggers include "FastAPI", "REST API", "backend", "endpoint", "Pydantic", "CORS", "middleware", "async API", or requests to build backend servers with FastAPI.
docker-fastapi
Comprehensive Docker containerization for Python/FastAPI applications from development to production deployments. Use when Claude needs to containerize Python/FastAPI applications with proper multi-stage builds, production-ready configurations, security best practices, and optimized Docker images for deployment to cloud platforms or container orchestration systems.
Python Development — Python Scaffold
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), and type hints.
neon-db
Expert guidance for Neon serverless PostgreSQL database setup and configuration. Use when setting up Neon database, configuring database connections, managing connection strings, integrating with SQLModel/FastAPI, or setting up development/production databases. Triggers include "Neon", "Neon database", "Neon PostgreSQL", "serverless Postgres", "DATABASE_URL", "Neon project", or requests to set up PostgreSQL databases with Neon.
azure-cosmos-db-py
Build Azure Cosmos DB NoSQL services with Python and FastAPI following production-grade patterns. Use this when implementing database client setup with dual authentication (DefaultAzureCredential for cloud and emulator credentials for local development), service-layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistence", "database service layer", or "Python Cosmos SDK".
python-fastapi-development
Python FastAPI backend development using async patterns, SQLAlchemy, Pydantic, authentication, and production-ready API practices.
fastapi-production
Production-depth skill for building robust FastAPI services. Use when asked to: add JWT authentication with token refresh to a FastAPI app, implement rate limiting or throttling on API endpoints, set up global exception handlers and structured error responses, configure database connection pooling with SQLAlchemy async sessions, handle 422 validation errors with custom messages, protect endpoints with OAuth2 or API key security schemes, manage async background tasks with proper lifecycle hooks, or tune FastAPI for high-concurrency production deployments.
aws-production-deploy
Deploy any full-stack app (Next.js + FastAPI or similar) to AWS production with Docker, ECR, ECS Fargate, ALB, ElastiCache, CloudWatch, and Grafana. Use when deploying to AWS, setting up CI/CD, configuring production infrastructure, or shipping any app to production.
python
Deep fluency in modern Python (3.14+) for production systems. Use when writing Python code, designing APIs, building data pipelines, creating async services, or optimizing performance. Covers typing, tooling (uv/pyright/ruff), FastAPI, Polars, observability, and engineering judgment.
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.
podcast generation
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use this when building text-to-speech features, generating audio narratives, creating podcasts from content, or integrating with the Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from a React frontend to a Python FastAPI backend with WebSocket streaming.
develop-fastapi-app
Build production-ready FastAPI applications using best practices for project structure, async patterns, Pydantic models, dependency injection, database operations, and testing. Ideal for developing FastAPI backends, REST APIs, or Python async web services.
python-engineering
Use when writing Python code, configuring tooling, structuring projects, or working with FastAPI, httpx, pytest, or the Astral toolchain (uv, ruff, ty).
fastapi-dapr-agent
Scaffold a new FastAPI microservice with Dapr integration and OpenAI agent for LearnFlow
learnflow-k8s-deployer
Deploy LearnFlow platform on Kubernetes
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.
python-fastapi-development
Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
python-pro
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, Pydantic, and FastAPI. Use proactively for Python development, optimization, or advanced Python patterns.
python-pro
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. Use proactively for Python development, optimization, or advanced Python patterns.
azure-cosmos-db-py
Build Azure Cosmos DB NoSQL services with Python and FastAPI following production-grade patterns. Use when implementing database client setup with dual authentication (DefaultAzureCredential + emulator), service-layer abstractions, or resilient HTTP APIs backed by Cosmos DB.
python-best-practices
Python coding standards and best practices guardrail for backend projects. Activates whenever Python code is being written, modified, refactored, or reviewed. Covers type hints, code structure, error handling, async patterns, and framework-specific conventions for Django and FastAPI. Use when working with .py files, pyproject.toml, or any Python backend development.