경미한 수정사항 빠른 처리 및 사후 이슈 생성. Use when (1) 오타/문구 수정, (2) 스타일 미세조정, (3) 버그 핫픽스, (4) 코드 정리 (3파일 이하, 30분 이내).
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →경미한 수정사항 빠른 처리 및 사후 이슈 생성. Use when (1) 오타/문구 수정, (2) 스타일 미세조정, (3) 버그 핫픽스, (4) 코드 정리 (3파일 이하, 30분 이내).
REST API design and implementation patterns for FastAPI endpoints including CRUD operations, pagination, filtering, error handling, and request/response models. Use when building FastAPI endpoints, creating REST APIs, implementing CRUD operations, adding pagination, designing API routes, handling API errors, or when user mentions FastAPI patterns, REST API design, endpoint structure, API best practices, or HTTP endpoints.
Use when FastAPI async patterns for building high-performance APIs. Use when handling concurrent requests and async operations.
FastAPI routes, services, auth JWT, streaming, error handling, OpenAI integration
This skill provides production-ready caching patterns using Redis for FastAPI applications.
Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill when designing or implementing Python backend services that require maintainability, testability, and scalability.
Comprehensive code review skill for FastAPI projects. Analyzes codebase against industry best practices covering async patterns, project structure, Pydantic usage, dependency injection, database patterns, testing, and performance. Generates detailed refactor plans with prioritized recommendations. Use when reviewing FastAPI projects, auditing code quality, planning refactors, or ensuring adherence to FastAPI/async best practices.
Build FastAPI applications with async patterns, Pydantic validation, dependency injection, and modern Python API practices.
Master FastAPI dependency injection for building modular, testable APIs.
Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment. Use when deploying FastAPI apps, setting up production environments, containerizing applications, configuring cloud platforms, implementing health checks, managing environment variables, setting up reverse proxies, or when user mentions Docker, Railway, DigitalOcean, AWS, deployment configuration, production setup, or container orchestration.
[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 high-performance FastAPI applications with async routes, validation, dependency injection, security, and automatic API documentation. Use when developing modern Python APIs with async support, automatic OpenAPI documentation, and high performance requirements.
Guide for creating FastAPI endpoints following this project's conventions including routers, dependency injection, error handling, and OpenAPI documentation.
Provides a comprehensive, reusable skill for standardized API error handling in FastAPI. Includes custom exception classes, global exception handlers, structured JSON logging, and standardized Pydantic error schemas. Use this when you need to implement a robust error handling system in a FastAPI project.
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
Enterprise-grade FastAPI development covering complete full-stack architecture with Next.js/React frontend, Neon Serverless PostgreSQL, SQLModel ORM, security hardening, payment integrations (Stripe, JazzCash, EasyPaisa), async patterns, real-time features, microservices, and production deployment. Use when building APIs, integrating with databases, implementing authentication/authorization, payment systems, real-time functionality, or deploying to production.
Generates FastAPI endpoints with proper Pydantic models, dependency injection, async handlers, and OpenAPI documentation. Use when building Python REST APIs.
fastapi-helper
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This skill provides production-ready patterns for containerizing FastAPI applications and deploying to Kubernetes.
Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies
Production-grade FastAPI patterns for async APIs, SQLAlchemy 2.0, Pydantic v2, and robust error handling. Use when building API endpoints, handling database operations, implementing middleware, or optimizing performance.
Production-ready FastAPI project scaffolding templates including directory structure, configuration files, settings management, dependency injection, MCP server integration, and development/production setup patterns. Use when creating FastAPI projects, setting up project structure, configuring FastAPI applications, implementing settings management, adding MCP integration, or when user mentions FastAPI setup, project scaffold, app configuration, environment management, or backend structure.
FastAPI_Pytest_TDDHelper
Use this agent when you need to design, implement, or optimize FastAPI backend applications. This includes API endpoint creation, database integration, authentication/authorization implementation, cloud deployment strategies, business logic architecture, performance optimization, and following FastAPI best practices.
This skill provides patterns for WebSockets, file uploads to S3, and email/notification services.
Generate and maintain the FastAPI backend structure for the RAG chatbot with proper project organization.
Senior Python Backend Engineer skill for FastAPI. Use when scaffolding production-ready APIs, enforcing clean architecture, optimizing async patterns, or auditing FastAPI codebases.
Initialize FastAPI backend projects with UV package manager, configure project structure, install dependencies, and set up basic FastAPI application. Use when setting up a new FastAPI backend or initializing the backend directory for Phase 2.
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FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.
Create FastAPI web server with standard middleware, JWT authentication, and REST API endpoints
FastAPI framework workflow guidelines. Activate when working with FastAPI projects, uvicorn, or FastAPI-specific patterns.
fastapi
Fastify framework patterns including routing, plugins, and decorators. Use when building Fastify APIs.
Guide for creating Fastify plugins with TypeScript, ESM, and fastify-plugin wrapper. Use when adding new plugins to app/src/plugins/.
Builds high-performance Node.js APIs with Fastify, TypeScript, schema validation, and plugins. Use when building fast REST APIs, microservices, or needing schema-based validation.
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FastLED color expert for palette generation, color math, performance optimization, and LED effect debugging across any FastLED project.
Build production-ready MCP servers using FastMCP framework with proven patterns for tools, resources, prompts, OAuth authentication, and comprehensive testing. Use this when creating FastMCP-based MCP servers with features like Google OAuth, multiple resource types, testing with FastMCP Client, or complex tool implementations.
FastMCP Cloud deployment validation, testing, and verification patterns. Use when deploying MCP servers, validating deployments, testing server configurations, checking environment variables, verifying deployment health, tracking deployments, or when user mentions FastMCP Cloud, deployment validation, pre-deployment checks, post-deployment verification, deployment troubleshooting, or deployment lifecycle management.
Build Model Context Protocol (MCP) servers - comprehensive coverage of generic MCP protocol AND FastMCP framework specialization. Use when creating any MCP server (Python FastMCP preferred, TypeScript/Node also covered). Includes agent-centric design principles, evaluation creation, Pydantic/Zod validation, async patterns, STDIO/HTTP/SSE transports, FastMCP Cloud deployment, .mcpb packaging, security patterns, and mid-2025+ community practices. Standalone skill with no external dependencies.
fastmcp
Examples and patterns for integrating FastMCP Cloud servers with Claude Agent SDK using HTTP transport
End-to-end DNA sequencing workflow from FASTQ files to variant calls. Covers QC, alignment with BWA, BAM processing, and variant calling with bcftools or GATK HaplotypeCaller. Use when calling variants from raw sequencing reads.
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Fast and user-friendly file system search using fd as a replacement for `find` command
Guide for building FoundationDB layers in Rust. Use when designing
Guide for writing FoundationDB simulation workloads in Rust. Use when
Guidance for implementing differential cryptanalysis attacks on FEAL and similar Feistel ciphers. This skill should be used when asked to break FEAL encryption, recover cipher keys through differential attacks, or implement cryptanalysis techniques on block ciphers with weak round functions. Covers proper differential characteristic construction, not ad-hoc statistical methods.