关于 documentation
面向开发者和团队的工程文档指南,涵盖文档编写与维护。内容包括 README、API 参考、架构记录、代码注释和运维手册。
主要功能
- 01文档类型与受众说明
- 02README 结构与示例
- 03OpenAPI 与 API 示例
- 04架构决策记录模板
- 05代码注释与运维手册
适用场景
- 01编写项目 README
- 02记录 API 请求与响应
- 03整理架构决策
- 04准备故障响应指南
安装
复制下面的命令,在终端中运行。
$
npx skills add https:/ / github.com/ miles990/ claude-software-skills --skill documentation安装后在 Claude Code 中输入/documentation确认已加载。
包含的文件
除 SKILL.md 外,安装时一起下载的参考资料和脚本。
templates/CHANGELOG-template.mdREADME-template.mdREADME.md详细介绍
文档
概述
文档作为一等工程产物。良好的文档可减少上手时间、支持工单和认知负担。
文档类型
| 类型 | 受众 | 目的 | 更新频率 |
|---|---|---|---|
| README | 新开发者 | 快速开始 | 每次重大变更 |
| API 文档 | API 使用者 | 参考 | 每次 API 变更 |
| 架构 | 团队 | 设计决策 | 每次设计变更 |
| 运行手册 | 运维 | 事件响应 | 每次事件 |
| 教程 | 用户 | 学习 | 定期 |
README 最佳实践
结构
# Project Name
> One-line description of what this project does.
[](link)
[](link)
[](link)
## Features
- Feature 1: Brief description
- Feature 2: Brief description
- Feature 3: Brief description
## Quick Start
```bash
# Install
npm install my-project
# Configure
export API_KEY=your-key
# Run
npx my-project start
安装
前置条件
- Node.js 18+
- PostgreSQL 15+
步骤
- 克隆仓库
- 安装依赖:
npm install - 将
.env.example复制为.env - 运行迁移:
npm run db:migrate - 启动服务:
npm start
用法
基本示例
import { Client } from 'my-project';
const client = new Client({ apiKey: 'xxx' });
const result = await client.doSomething();
高级配置
[详细文档链接]
API 参考
[API 文档链接]
贡献
许可证
MIT - 参见 LICENSE
---
## API Documentation
### OpenAPI/Swagger
```yaml
openapi: 3.0.3
info:
title: User API
description: |
API for managing users.
## Authentication
All endpoints require Bearer token authentication.
## Rate Limiting
- 100 requests per minute per API key
- 429 response when exceeded
version: 1.0.0
servers:
- url: https://api.example.com/v1
description: Production
- url: https://staging-api.example.com/v1
description: Staging
paths:
/users:
get:
summary: List users
description: Returns a paginated list of users.
operationId: listUsers
tags:
- Users
parameters:
- name: limit
in: query
description: Maximum number of users to return
schema:
type: integer
default: 20
maximum: 100
- name: cursor
in: query
description: Pagination cursor from previous response
schema:
type: string
responses:
'200':
description: Successful response
content:
application/json:
schema:
$ref: '#/components/schemas/UserList'
example:
data:
- id: "usr_123"
email: "[email protected]"
name: "John Doe"
meta:
hasMore: true
nextCursor: "eyJpZCI6MTIzfQ"
'401':
$ref: '#/components/responses/Unauthorized'
components:
schemas:
User:
type: object
required:
- id
- email
properties:
id:
type: string
description: Unique identifier
example: "usr_123"
email:
type: string
format: email
description: User's email address
name:
type: string
description: User's display name
responses:
Unauthorized:
description: Authentication required
content:
application/json:
schema:
type: object
properties:
error:
type: string
example: "Invalid or missing API key"
文档中的代码示例
## Creating a User
### Request
```bash
curl -X POST https://api.example.com/v1/users \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"email": "[email protected]",
"name": "John Doe"
}'
响应
{
"id": "usr_123",
"email": "[email protected]",
"name": "John Doe",
"createdAt": "2024-01-15T10:30:00Z"
}
错误响应
{
"error": {
"code": "validation_error",
"message": "Invalid email format",
"field": "email"
}
}
---
## Architecture Decision Records (ADR)
### Template
```markdown
# ADR-001: Use PostgreSQL for Primary Database
## Status
Accepted
## Context
We need to choose a primary database for our application.
Requirements:
- ACID transactions
- Complex queries with joins
- Proven reliability at scale
- Good ecosystem and tooling
## Decision
We will use PostgreSQL as our primary database.
## Alternatives Considered
### MySQL
- Pros: Widely used, good performance
- Cons: Less feature-rich, weaker JSON support
### MongoDB
- Pros: Flexible schema, easy horizontal scaling
- Cons: No ACID transactions across documents, eventual consistency
### CockroachDB
- Pros: Distributed, PostgreSQL-compatible
- Cons: Higher operational complexity, newer technology
## Consequences
### Positive
- Strong consistency guarantees
- Rich query capabilities (CTEs, window functions)
- Excellent JSON support for semi-structured data
- Large community and ecosystem
### Negative
- Vertical scaling limits
- Need to manage read replicas for high read loads
- Schema migrations require careful planning
### Risks
- May need sharding solution if we exceed single-node capacity
- Team needs PostgreSQL expertise
## References
- [PostgreSQL Documentation](https://www.postgresql.org/docs/)
- [Internal benchmark results](link)
ADR 索引
# Architecture Decision Records
| ID | Title | Status | Date |
|----|-------|--------|------|
| [ADR-001](adr-001.md) | Use PostgreSQL | Accepted | 2024-01-01 |
| [ADR-002](adr-002.md) | JWT Authentication | Accepted | 2024-01-05 |
| [ADR-003](adr-003.md) | Microservices Split | Proposed | 2024-01-10 |
| [ADR-004](adr-004.md) | GraphQL vs REST | Superseded by ADR-006 | 2024-01-15 |
代码文档
JSDoc / TSDoc
/**
* Calculates the total price including tax and discounts.
*
* @param items - Array of cart items
* @param options - Calculation options
* @returns The calculated price breakdown
*
* @example
* ```typescript
* const result = calculatePrice(
* [{ id: '1', price: 100, quantity: 2 }],
* { taxRate: 0.1, discountCode: 'SAVE10' }
* );
* console.log(result.total); // 198
* ```
*
* @throws {ValidationError} If items array is empty
* @throws {InvalidDiscountError} If discount code is invalid
*
* @see {@link applyDiscount} for discount logic
* @since 2.0.0
*/
function calculatePrice(
items: CartItem[],
options: PriceOptions
): PriceBreakdown {
// Implementation
}
/**
* Represents a user in the system.
*
* @remarks
* Users are created through the signup flow or admin panel.
* Soft deletion is used - check `deletedAt` for active status.
*/
interface User {
/** Unique identifier (UUID v4) */
id: string;
/** Email address (unique, validated format) */
email: string;
/**
* User's display name
* @defaultValue Derived from email if not provided
*/
name?: string;
/** Account creation timestamp */
createdAt: Date;
/** Soft deletion timestamp, null if active */
deletedAt: Date | null;
}
行内注释
// ✅ Good: Explains WHY
// Use binary search because items are sorted and list can have 100k+ entries
const index = binarySearch(items, target);
// ✅ Good: Explains non-obvious behavior
// Sleep 100ms to avoid rate limiting from external API
await sleep(100);
// ✅ Good: Documents workaround
// HACK: Safari doesn't support this API, fall back to polyfill
// TODO: Remove when Safari 17 adoption > 90%
const result = window.api?.call() ?? polyfill();
// ❌ Bad: States the obvious
// Loop through users
for (const user of users) {
// ❌ Bad: Outdated comment
// Returns user's full name (actually returns email now)
function getUserIdentifier() {
return user.email;
}
运行手册
结构
# Runbook: High Memory Usage Alert
## Overview
This runbook addresses alerts when application memory usage exceeds 80%.
## Prerequisites
- Access to Kubernetes cluster
- Permissions to view pods and logs
- Familiarity with application architecture
## Symptoms
- Alert: `HighMemoryUsage` firing
- Metric: `container_memory_usage_bytes` > 80% of limit
- Possible: OOMKilled pods, slow responses
## Diagnosis
### Step 1: Identify affected pods
```bash
kubectl top pods -n production | sort -k3 -rh | head -10
步骤 2:检查内存泄漏
# Get heap dump
kubectl exec -it <pod> -- node --heapsnapshot
kubectl cp <pod>:/app/heapsnapshot.heapsnapshot ./heapsnapshot.heapsnapshot
步骤 3:检查最近的部署
kubectl rollout history deployment/api -n production
缓解
立即措施(如果 Pod 正在崩溃)
# Scale up to distribute load
kubectl scale deployment/api --replicas=10
# Restart pods (rolling)
kubectl rollout restart deployment/api
如果确认存在内存泄漏
- 从堆快照中定位泄漏的代码路径
- 准备热修复
- 按照标准流程部署修复
解决
- 内存使用率降至 70% 以下
- 30 分钟内无 OOMKilled 事件
- 告警自动解除
升级
- L1:值班工程师
- L2:平台团队(如果是基础设施问题)
- L3:应用团队负责人(如果是代码问题)
相关
- 内存分析指南
- 事件 INC-123 - 之前的内存泄漏
---
## Documentation Tools
| Tool | Use Case | Format |
|------|----------|--------|
| Docusaurus | Documentation sites | MDX |
| Swagger UI | API reference | OpenAPI |
| Storybook | Component docs | JSX/TSX |
| MkDocs | Technical docs | Markdown |
| Notion | Team wikis | Rich text |
---
## Related Skills
- [[api-design]] - API documentation
- [[code-quality]] - Self-documenting code
- [[reliability-engineering]] - Runbooks
评论
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