Chạy verify cho test cases trên FARE — ghi `verify_history` atomic qua `update_test_case(verify={...})`, cập nhật `verify_status` (passed/failed/blocked/skipped); đối chiếu task…
Use when a task needs the judgment of a Farm Equipment Mechanic — diagnosing an ECU fault code on a combine or tractor before swapping parts, pressure-testing a hydraulic circuit…
Pattern DevOps: Docker, CI/CD, deploy, monitoring, infrastruttura. Trigger: "docker", "deploy", "ci/cd", "pipeline", "infrastruttura", "monitoring setup"
Strategia di migrazione da codebase legacy. Analisi, piano incrementale, strangler fig. Trigger: "migrazione", "legacy", "refactor completo", "modernizzare"
Pattern Python: FastAPI, SQLAlchemy, Alembic, Pydantic, virtual env, packaging. Trigger: "fastapi", "python", "sqlalchemy", "django", "flask"
Pattern Supabase: RLS, Edge Functions, Realtime, Storage, Auth, migration. Trigger: "supabase", "RLS", "edge function", "realtime subscription"
Pattern di test avanzati: unit, integration, E2E, mocking, fixture. Trigger: "scrivi test", "testing strategy", "coverage", "test E2E"
Practical guidance for writing, refactoring, and reviewing fast, reliable, and maintainable Rust code.
FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them.
REST API design and implementation patterns for FastAPI endpoints including CRUD operations, pagination, filtering, error handling, and request/response models.
Use when creating FastAPI backend applications - route handlers, dependencies, CORS config, or Pydantic models.
Use when adding background tasks or event integration to a scaffolded FastAPI service after the broker and contracts are declared in backend-architecture.
Implement and validate FastAPI authentication strategies including JWT tokens, OAuth2 password flows, OAuth2 scopes for permissions, and Supabase integration.
FastAPI routes, services, auth JWT, streaming, error handling, OpenAI integration
FastAPI backend development guidelines for Python async applications. Domain-Driven Design with FastAPI routers, SQLModel/SQLAlchemy ORM, repository pattern, service layer,…
Production-ready FastAPI backend skill for handling chat requests, persisting conversations, invoking OpenAI Agents SDK, and managing MCP tool execution for Todo AI chatbot.
Comprehensive code review skill for FastAPI projects. Analyzes codebase against industry best practices covering async patterns, project structure, Pydantic usage, dependency…
트리거: "fastapi 만들어줘", "fastapi codegen", "fastapi 코드 생성", "fastapi 라우터 생성", "fastapi api 만들어줘" 수행: Python FastAPI 프로젝트의 Router·Pydantic Schema·Service·Dependency 계층을 자동 생성한다.
Build FastAPI applications with async patterns, Pydantic validation, dependency injection, and modern Python API practices.
Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment.
Python backend development expertise for FastAPI, security patterns, database operations, Upstash integrations, and code quality.
[Extends backend-developer] Python FastAPI specialist. Use for FastAPI apps, async endpoints, Pydantic v2, SQLAlchemy async, dependency injection.
Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.
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…
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows — from…
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…
Développement d'APIs performantes avec FastAPI, Pydantic, async/await, OpenAPI et système de dépendances.
FastAPI development assistant for building modern Python web APIs. Provides guidance on routing, request/response handling, dependency injection, authentication, middleware,…
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。
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-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…
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.
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.