api-conventions
The api-conventions skill provides standardized guidelines for API design including RESTful URL naming conventions using plural nouns and kebab-case, required response format with data/error/meta structure, HTTP status code usage, Bearer token authentication requirements, and API versioning in URL paths. Use this when designing new endpoints, writing API implementations, or reviewing API code to ensure consistency across the project.
git clone --depth 1 https://github.com/huangjia2019/claude-code-engineering /tmp/api-conventions && cp -r /tmp/api-conventions/04-Skills/projects/01-reference-skill/.claude/skills/api-conventions ~/.claude/skills/api-conventionsSKILL.md
# API Design Conventions
These are the API design standards for our project. Apply these conventions whenever working with API endpoints.
## URL Naming
- Use plural nouns for resources: `/users`, `/orders`, `/products`
- Use kebab-case for multi-word resources: `/order-items`, `/user-profiles`
- Nested resources for belongsTo relationships: `/users/{id}/orders`
- Maximum two levels of nesting; beyond that, use query parameters
- Use query parameters for filtering: `/orders?status=active&limit=20`
## Response Format
All API responses must follow this structure:
```json
{
"data": {},
"error": null,
"meta": {
"page": 1,
"limit": 20,
"total": 100
}
}
```
- `data`: 成功时返回的业务数据
- `error`: 错误时返回错误对象 `{ code, message, details }`,成功时为 `null`
- `meta`: 分页和元信息,列表接口必须返回
## HTTP Status Codes
- 200: 成功返回数据
- 201: 成功创建资源
- 400: 请求参数错误
- 401: 未认证
- 403: 无权限
- 404: 资源不存在
- 422: 业务逻辑错误
- 500: 服务器内部错误
## Authentication
- All endpoints require Bearer token unless explicitly marked as public
- Public endpoints must be documented with `@public` annotation
- Token format: `Authorization: Bearer <jwt-token>`
## Versioning
- API version in URL path: `/api/v1/users`
- Breaking changes require new versionReview code changes for quality, security, and best practices. Proactively use this after code modifications.
Run tests and report results concisely. Use this after code changes to verify everything works.
Analyze log files and extract actionable insights. Use when troubleshooting issues or investigating incidents.
Explore and analyze API-related code. Use when investigating endpoints, routing, or HTTP handling.
Explore and analyze authentication-related code. Use when investigating auth flows, session management, or security.
Explore and analyze database-related code. Use when investigating data models, queries, or persistence.
Analyze root cause of bugs after location is identified. Second step in bug investigation.
Implement bug fixes after analysis is complete. Third step in bug fix pipeline.