Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and…
Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies
Fastapi Ml Endpoint - Auto-activating skill for ML Deployment. Triggers on: fastapi ml endpoint, fastapi ml endpoint Part of the ML Deployment skill category.
Create new uv-backed FastAPI apps with `fastapi-new`. Use when the user asks to scaffold a new FastAPI project, create a new app directory, initialize a FastAPI project in the…
Use when making a scaffolded FastAPI service production-observable after reliability SLO targets are approved or deferred.
FastAPI + SQLModel + Neon PostgreSQL 後端開發最佳實踐。適用於 Render 部署的 API 服務。涵蓋路由設計、資料庫操作、錯誤處理、認證授權。
Automatically applies when creating FastAPI endpoints, routers, and API structures. Enforces best practices for endpoint definitions, dependency injection, error handling, and…
Use when hardening a scaffolded FastAPI service for load and failure after performance budgets and SLO targets are approved or deferred.
PostGIS location storage patterns for FastAPI with SQLModel. Use when implementing location features requiring latitude/longitude storage, spatial indexing, or distance…
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
Production-grade FastAPI patterns for async APIs, SQLAlchemy 2.0, Pydantic v2, and robust error handling.
Production-grade FastAPI patterns for async APIs, SQLAlchemy 2.0, Pydantic v2, and robust error handling.
Production-ready FastAPI project scaffolding templates including directory structure, configuration files, settings management, dependency injection, MCP server integration, and…
Senior Backend Architect and Principal QA Engineer skill for Test-Driven Development (TDD) with FastAPI and Pytest.
Expert in FastAPI Python development with best practices for APIs and async operations
Use this agent when you need to design, implement, or optimize FastAPI backend applications. This includes API endpoint creation, database integration,…
Audit and fix FastAPI/Pydantic response contract failures and analytics metric drift. Use when endpoints return ResponseValidationError/500, legacy JSON rows miss required…
WHEN: FastAPI project review, Pydantic models, async endpoints, dependency injection WHAT: Pydantic validation + Dependency injection + Async patterns + OpenAPI docs + Security…
Fastapi Router Creator - Auto-activating skill for Backend Development. Triggers on: fastapi router creator, fastapi router creator Part of the Backend Development skill category.
Create FastAPI routers following established patterns with proper authentication, response models, and HTTP status codes.
Generate FastAPI project scaffold with uvicorn, OpenAPI docs, and configuration management
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 — from…
Senior Python Backend Engineer skill for FastAPI. Use when scaffolding production-ready APIs, enforcing clean architecture, optimizing async patterns, or auditing FastAPI — from…
Scaffold and run a minimal FastAPI server inside the dev container on port 8888. Use when the user asks for a Python web API, REST endpoints, or to expose something over HTTP.
Use when scaffolding or production-hardening a FastAPI service shell after backend architecture is approved or deferred.
Maintain existing uv-managed FastAPI services, including route and dependency composition, typed settings, lifespan, async and integration testing, OpenAPI review,…
Initialize FastAPI backend projects with UV package manager, configure project structure, install dependencies, and set up basic FastAPI application.
Reusable FastAPI skill with REST endpoint patterns, Pydantic models, dependencies, and async operations. Use for building Python web APIs.
Standard patterns for building and maintaining CRUD APIs with FastAPI and SQLModel: models, routers, database access, and error handling in a reusable way.
FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling.
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling.
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling.
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling.
Testing FastAPI apps with pytest-asyncio and httpx.AsyncClient — fixtures, dependency overrides, DB isolation, auth.
將「意圖分類 + if/elif 分派情境處理」的 FastAPI 應用程式，一步轉換為 LangGraph（StateGraph）架構。當使用者要求把 FastAPI 專案改成 LangGraph、加情境節點、用 graph 架構重構時，主動使用本技能。
Genera guías de aprendizaje de temas de FastAPI. Úsala cuando el usuario pida aprender, entender o explorar un tema de FastAPI como autenticación, base de datos, middlewares, etc.
Verification loop for FastAPI projects: type checking, linting, tests with coverage, security scans, and API schema validation before release or PR.
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.
Prepare and deploy FastAPI apps to FastAPI Cloud. Use when the user asks to deploy a project, create or link a FastAPI Cloud app, log in before deployment, set up CI/CD, a GitHub…
Manage FastAPI Cloud environment variables and secrets. Use when listing, reading, setting, deleting, or auditing FastAPI Cloud env vars, handling runtime secrets, or diagnosing…
Inspect FastAPI Cloud logs. Use when the user asks for recent logs, the latest or last log timestamp, runtime log lines, build logs for a deployment, whether an app has emitted…
Guide for creating Fastify route handlers with TypeBox schemas and OpenAPI documentation. Use when adding new routes to app/src/routes/.
Build MCP servers in Python with FastMCP to expose tools, resources, and prompts to LLMs. Supports storage backends, middleware, OAuth Proxy, OpenAPI integration, and Fas — from…
Build MCP servers in Python with FastMCP to expose tools, resources, and prompts to LLMs. Supports storage backends, middleware, OAuth Proxy, OpenAPI integration, and Fas — from…
FastMCP Python framework for MCP servers with tools, resources, storage backends (memory/disk/Redis/DynamoDB).
Receive and verify FastSpring webhooks. Use when setting up FastSpring webhook handlers, debugging X-FS-Signature verification, or handling ecommerce events like order.completed,…
Paginate SQLAlchemy select queries in FastAPI endpoints using FastSQLA. Covers fastsqla.Paginate (offset/limit) and fastsqla.cursor.Paginate (forward-only cursor/limit),…
Manages async SQLAlchemy sessions in FastSQLA endpoints and background tasks. Covers the Session dependency (auto-commit/rollback lifecycle), flush vs commit rules, IntegrityError…
How to install and configure FastSQLA with FastAPI. Covers pip installation, async driver selection, environment variable configuration via fastsqla.lifespan, programmatic…
Expert guidance for using the FeatBit REST API to manage projects, environments, and feature flags programmatically.
Expert guidance for integrating FeatBit Python Server SDK in backend applications. Use when user asks about "Python SDK", "Python feature flags", "FeatBit Python", fbclient usage,…
In-app feedback widget — floating button, screenshot capture, canvas annotation, multi-image support, reply threads. FastAPI + Next.js / React için tam kurulum.
飞书（Lark）自动化能力。优先使用飞书官方 OpenAPI MCP/CLI 处理消息、群组、Base、文档、任务与日历等 OpenAPI 能力；不把开发者后台配置动作误判为 MCP 能力。
Connect a Feishu (Lark) bot to Clawdbot via WebSocket long-connection. No public server, domain, or ngrok required.
飞书（Lark）交互式卡片在 WebSocket 长连接模式下的配置指南。涵盖卡片模板结构、 EventDispatcher 注册、按钮回调处理、下拉选择值缓存、响应格式等完整流程。 当需要在飞书 Bot 中添加交互式卡片（带按钮、下拉菜单等）并且使用 WS 长连接模式时， 必须使用此 skill。即使只是添加一个简单的按钮或下拉菜单，也要先读此…
Expert guidance for Feishu (飞书) / Lark OpenAPI Python development. Build Feishu applications, robots, handle event subscriptions, card callbacks, and API integrations.
Use when modeling OpenAPI 3.x documents in TypeScript, including schemas, operations, parameters, responses, security schemes, components, references, extensions, media types,…