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grey-haven-api-designgrey haven API 设计

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

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294

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:grey-haven-api-design(grey haven API 设计)
来源仓库:https://github.com/greyhaven-ai/claude-code-config
仓库路径:skills/grey-haven-api-design
安装命令:
npx skills add https://github.com/greyhaven-ai/claude-code-config --skill grey-haven-api-design
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/greyhaven-ai/claude-code-config --skill grey-haven-api-design

简介

用于辅助 API 设计、接口文档和错误码整理,支持 OpenAPI 草稿生成。

  • 它适合梳理 endpoint、检查字段命名和鉴权规则,辅助前后端联调。
  • 使用时需确认真实业务语义和分页逻辑,避免凭空补字段或接口定义。
  • 安装命令:npx skills add https://github.com/greyhaven-ai/claude-code-config --skill grey-haven-api-design。
  • 建议从现有代码或样例中提取事实,不要虚构请求响应结构。

SKILL.md

Grey Haven API Design Standards

RESTful API design for FastAPI backends and TanStack Start server functions.

Follow these standards when creating API endpoints, defining schemas, and handling errors in Grey Haven projects.

Supporting Documentation

  • examples/ - Complete endpoint examples (all files <500 lines)

- fastapi-crud.md - CRUD endpoints with repository pattern - pydantic-schemas.md - Request/response schemas - tanstack-start.md - Server functions - pagination.md - Pagination patterns - testing.md - API testing

  • reference/ - Configuration references (all files <500 lines)

- fastapi-setup.md - Main app configuration - openapi.md - OpenAPI customization - error-handlers.md - Exception handlers - authentication.md - JWT configuration - cors-rate-limiting.md - CORS and rate limiting

Quick Reference

RESTful Resource Design

URL Patterns:

  • /api/v1/users (plural nouns, lowercase with hyphens)
  • /api/v1/organizations/{org_id}/teams (hierarchical)
  • /api/v1/getUsers (no verbs in URLs)
  • /api/v1/user_profiles (no underscores)

HTTP Verbs:

  • GET - Retrieve resources
  • POST - Create new resources
  • PUT - Update entire resource
  • PATCH - Update partial resource
  • DELETE - Remove resource

HTTP Status Codes

Success:

  • 200 OK - GET, PUT, PATCH requests
  • 201 Created - POST request (resource created)
  • 204 No Content - DELETE request

Client Errors:

  • 400 Bad Request - Invalid request data
  • 401 Unauthorized - Missing/invalid authentication
  • 403 Forbidden - Insufficient permissions
  • 404 Not Found - Resource doesn't exist
  • 409 Conflict - Duplicate resource, concurrent update
  • 422 Unprocessable Entity - Validation errors

Server Errors:

  • 500 Internal Server Error - Unhandled exception
  • 503 Service Unavailable - Database/service down

Multi-Tenant Isolation

Always enforce tenant isolation:

# Extract tenant_id from JWT
repository = UserRepository(db, tenant_id=current_user.tenant_id)

# All queries automatically filtered by tenant_id
users = await repository.list()  # Only returns users in this tenant

FastAPI Route Pattern

from fastapi import APIRouter, Depends, HTTPException, status

router = APIRouter(prefix="/api/v1/users", tags=["users"])

@router.post("", response_model=UserRead, status_code=status.HTTP_201_CREATED)
async def create_user(
    user_data: UserCreate,
    db: Session = Depends(get_db),
    current_user: User = Depends(get_current_user),
) -> UserRead:
    """Create a new user in the current tenant."""
    repository = UserRepository(db, tenant_id=current_user.tenant_id)
    user = await repository.create(user_data)
    return user

See examples/fastapi-crud.md for complete CRUD endpoints.

Pydantic Schema Pattern

from pydantic import BaseModel, EmailStr, Field, ConfigDict

class UserCreate(BaseModel):
    """Schema for creating a new user."""
    email: EmailStr
    full_name: str = Field(..., min_length=1, max_length=255)
    password: str = Field(..., min_length=8)

class UserRead(BaseModel):
    """Schema for reading user data (public fields only)."""
    id: str
    tenant_id: str
    email: EmailStr
    full_name: str
    created_at: datetime

    model_config = ConfigDict(from_attributes=True)

See examples/pydantic-schemas.md for validation patterns.

TanStack Start Server Functions

// app/routes/api/users.ts
import { createServerFn } from "@tanstack/start";
import { z } from "zod";

const createUserSchema = z.object({
  email: z.string().email(),
  fullName: z.string().min(1).max(255),
});

export const createUser = createServerFn({ method: "POST" })
  .validator(createUserSchema)
  .handler(async ({ data, context }) => {
    const authUser = await getAuthUser(context);
    // Create user with tenant isolation
  });

See examples/tanstack-start.md for complete examples.

Error Response Format

{
  "error": "User with ID abc123 not found",
  "status_code": 404
}

Validation errors:

{
  "error": "Validation error",
  "detail": [
    {
      "field": "email",
      "message": "value is not a valid email address",
      "code": "value_error.email"
    }
  ],
  "status_code": 422
}

See reference/error-handlers.md for exception handlers.

Pagination

Offset-based (simple):

@router.get("", response_model=PaginatedResponse[UserRead])
async def list_users(skip: int = 0, limit: int = 100):
    users = await repository.list(skip=skip, limit=limit)
    total = await repository.count()
    return PaginatedResponse(items=users, total=total, skip=skip, limit=limit)

Cursor-based (recommended for large datasets):

@router.get("")
async def list_users(cursor: Optional[str] = None, limit: int = 100):
    users = await repository.list_cursor(cursor=cursor, limit=limit)
    next_cursor = users[-1].id if len(users) == limit else None
    return {"items": users, "next_cursor": next_cursor}

See examples/pagination.md for complete implementations.

Core Principles

1. Repository Pattern

Always use tenant-aware repositories:

  • Extract tenant_id from JWT claims
  • Pass to repository constructor
  • All queries automatically filtered
  • Prevents cross-tenant data leaks

2. Pydantic Validation

Define schemas for all requests/responses:

  • {Model}Create - Fields for creation
  • {Model}Read - Public fields for responses
  • {Model}Update - Optional fields for updates
  • Never return password hashes or sensitive data

3. OpenAPI Documentation

FastAPI auto-generates docs:

  • Add docstrings to all endpoints
  • Use summary, description, response_description
  • Document all parameters and responses
  • Available at /docs (Swagger UI) and /redoc (ReDoc)

See reference/openapi.md for customization.

4. Rate Limiting

Protect public endpoints:

from app.core.rate_limit import rate_limit

@router.get("", dependencies=[Depends(rate_limit)])
async def list_users():
    """List users (rate limited to 100 req/min)."""
    pass

See templates/rate-limiter.py for Upstash Redis implementation.

5. CORS Configuration

Use Doppler for allowed origins:

# NEVER hardcode origins in production!
allowed_origins = os.getenv("CORS_ALLOWED_ORIGINS", "").split(",")

app.add_middleware(
    CORSMiddleware,
    allow_origins=allowed_origins,
    allow_credentials=True,
)

See reference/cors-rate-limiting.md for complete setup.

When to Apply This Skill

Use this skill when:

  • ✅ Creating new FastAPI endpoints or TanStack Start server functions
  • ✅ Designing RESTful resource hierarchies
  • ✅ Writing Pydantic schemas for validation
  • ✅ Implementing pagination, filtering, or sorting
  • ✅ Configuring error response formats
  • ✅ Setting up OpenAPI documentation
  • ✅ Implementing rate limiting or CORS
  • ✅ Designing multi-tenant API isolation
  • ✅ Testing API endpoints with pytest
  • ✅ Reviewing API design in pull requests
  • ✅ User mentions: "API", "endpoint", "REST", "FastAPI", "Pydantic", "server function", "OpenAPI", "pagination", "validation"

Template References

These API design patterns come from Grey Haven's actual templates:

  • Backend: cvi-backend-template (FastAPI + SQLModel + Repository Pattern)
  • Frontend: cvi-template (TanStack Start server functions)

Critical Reminders

  1. Repository pattern - Always use tenant-aware repositories for multi-tenant isolation
  2. Pydantic schemas - Never return password hashes or sensitive fields in responses
  3. HTTP status codes - 201 for create, 204 for delete, 404 for not found, 422 for validation errors
  4. Pagination - Use cursor-based for large datasets (better performance than offset)
  5. Error format - Consistent error structure with error, detail, and status_code fields
  6. OpenAPI docs - Document all parameters, responses, and errors with docstrings
  7. Rate limiting - Protect public endpoints with Upstash Redis (100 req/min default)
  8. CORS - Use Doppler for allowed origins, never hardcode in production
  9. JWT authentication - Extract tenant_id from JWT claims for multi-tenant isolation
  10. Testing - Use FastAPI TestClient with doppler run --config test -- pytest

Next Steps

  • Need endpoint examples? See examples/ for FastAPI CRUD and TanStack Start
  • Need configurations? See reference/ for OpenAPI, CORS, error handlers
  • Need templates? See templates/ for copy-paste ready endpoint code
  • Need checklists? Use checklists/ for systematic API design reviews

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平台分布

Codex

37.82%
按下载量换算36

Claude

29.5%
按下载量换算28

Cursor

17.65%
按下载量换算17

Gemini CLI

8.76%
按下载量换算8

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