bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
FastAPI Production Engineering
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 1kalin/afrexai-fastapi-production打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Complete methodology for building, deploying, and scaling production FastAPI applications. Not a tutorial — a production operating system.
Score 2 points each. Total < 8 = critical work needed.
| Signal | Healthy | Unhealthy |
|---|---|---|
| Type safety | Pydantic v2 models everywhere | dict returns, no validation |
| Error handling | Structured error hierarchy | Bare HTTPException strings |
| Auth | JWT + dependency injection | Manual token parsing |
| Testing | 80%+ coverage, async tests | No tests or sync-only |
| Database | Async ORM, migrations | Raw SQL, no migrations |
| Observability | Structured logging + tracing | print() debugging |
| Deployment | Multi-stage Docker, health checks | uvicorn main:app on bare metal |
| Documentation | Auto-generated, accurate OpenAPI | Default /docs untouched |
src/
├── app/
│ ├── __init__.py
│ ├── main.py # App factory
│ ├── config.py # Pydantic Settings
│ ├── dependencies.py # Shared DI
│ ├── middleware.py # Custom middleware
│ ├── features/
│ │ ├── users/
│ │ │ ├── __init__.py
│ │ │ ├── router.py # Endpoints
│ │ │ ├── schemas.py # Pydantic models
│ │ │ ├── service.py # Business logic
│ │ │ ├── repository.py # Data access
│ │ │ ├── models.py # SQLAlchemy/SQLModel
│ │ │ ├── dependencies.py
│ │ │ └── exceptions.py
│ │ ├── auth/
│ │ ├── orders/
│ │ └── ...
│ ├── core/
│ │ ├── database.py # Engine, session factory
│ │ ├── security.py # JWT, hashing
│ │ ├── errors.py # Error hierarchy
│ │ └── logging.py # Structlog config
│ └── shared/
│ ├── pagination.py
│ ├── filters.py
│ └── responses.py
├── migrations/ # Alembic
├── tests/
│ ├── conftest.py
│ ├── unit/
│...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Complete methodology for building, deploying, and scaling production FastAPI applications. Not a tutorial — a production operating system.
Transforms your FastAPI project from prototype to production-grade with:
clawhub install afrexai-fastapi-production
Ask your agent:
audit my FastAPI project — get a health score out of 16set up a new FastAPI project — full structure + configadd authentication — JWT + dependency injection patternprepare for production — Dockerfile + CI + checklist| Feature | Generic Skills | This Skill |
|---|---|---|
| Architecture | "Use routers" | Full feature-based structure with 7 rules |
| Error handling | HTTPException(404) |
Custom hierarchy + global handler + structured JSON |
| Auth | Basic JWT example | JWT + RBAC + DI + 10-point security checklist |
| Database | Raw SQLAlchemy | Async + repository pattern + migrations |
| Testing | "Write tests" | Async patterns + fixtures + parametrized + 7 rules |
| Deployment | uvicorn main:app |
Multi-stage Docker + CI + health checks + checklist |
| Quality | No scoring | 0-100 rubric across 8 weighted dimensions |
Get the AfrexAI SaaS Context Pack ($47) for complete SaaS architecture,...
# FastAPI Production Engineering Complete methodology for building, deploying, and scaling production FastAPI applications. Not a tutorial — a production operating system. ## Quick Health Check (/16) Score 2 points each. Total < 8 = critical work needed. | Signal | Healthy | Unhealthy | |--------|---------|-----------| | Type safety | Pydantic v2 models everywhere | `dict` returns, no validation | | Error handling | Structured error hierarchy | Bare `HTTPException` strings | | Auth | JWT + dependency injection | Manual token parsing | | Testing | 80%+ coverage, async tests | No tests or sync-only | | Database | Async ORM, migrations | Raw SQL, no migrations | | Observability | Structured logging + tracing | `print()` debugging | | Deployment | Multi-stage Docker, health checks | `uvicorn main:app` on bare metal | | Documentation | Auto-generated, accurate OpenAPI | Default `/docs` untouched | ## Phase 1: Project Architecture ### Recommended Structure ``` src/ ├── app/ │ ├── __init__.py │ ├── main.py # App factory │ ├── config.py # Pydantic Settings │ ├── dependencies.py # Shared DI │ ├── middleware.py # Custom middleware │ ├── features/ │ │ ├── users/ │ │ │ ├── __init__.py │ │ │ ├── router.py # Endpoints │ │ │ ├── schemas.py # Pydantic models │ │ │ ├── service.py # Business logic │ │ │ ├── repository.py # Data access │ │ │ ├── models.py # SQLAlchemy/SQLModel │ │ │ ├── dependencies.py │ │ │ └── exceptions.py │ │ ├── auth/ │ │ ├── orders/ │ │ └── ... │ ├── core/ │ │ ├── database.py # Engine, session factory │ │ ├── security.py # JWT, hashing │ │ ├── errors.py # Error hierarchy │ │ └── logging.py # Structlog config │ └── shared/ │ ├── pagination.py │ ├── filters.py │ └── responses.py ├── migrations/ # Alembic ├── tests/ │ ├── conftest.py │ ├── unit/ │...
# 🚀 AfrexAI FastAPI Production Engineering Complete methodology for building, deploying, and scaling production FastAPI applications. Not a tutorial — a production operating system. ## What This Skill Does Transforms your FastAPI project from prototype to production-grade with: - **Project architecture** — Feature-based structure with strict layering - **Pydantic v2 mastery** — Schema design, validation, generics - **Error handling** — Structured exception hierarchy with global handler - **Auth & security** — JWT + RBAC + 10-point security checklist - **Database patterns** — Async SQLAlchemy + repository pattern + migrations - **Testing** — Async test patterns with pytest-asyncio + httpx - **Observability** — Structlog + request tracing + health checks - **Deployment** — Multi-stage Docker + GitHub Actions CI + production checklist ## Install ```bash clawhub install afrexai-fastapi-production ``` ## Quick Start Ask your agent: - `audit my FastAPI project` — get a health score out of 16 - `set up a new FastAPI project` — full structure + config - `add authentication` — JWT + dependency injection pattern - `prepare for production` — Dockerfile + CI + checklist ## What Makes This 10X Better | Feature | Generic Skills | This Skill | |---------|---------------|------------| | Architecture | "Use routers" | Full feature-based structure with 7 rules | | Error handling | `HTTPException(404)` | Custom hierarchy + global handler + structured JSON | | Auth | Basic JWT example | JWT + RBAC + DI + 10-point security checklist | | Database | Raw SQLAlchemy | Async + repository pattern + migrations | | Testing | "Write tests" | Async patterns + fixtures + parametrized + 7 rules | | Deployment | `uvicorn main:app` | Multi-stage Docker + CI + health checks + checklist | | Quality | No scoring | 0-100 rubric across 8 weighted dimensions | ## ⚡ Level Up Get the [AfrexAI SaaS Context Pack ($47)](https://afrexai-cto.github.io/context-packs/) for complete SaaS architecture,...
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.