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auto-documentation自动记录

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

196

周安装

8

GitHub Stars

7

下载量

63
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:auto-documentation(自动记录)
来源仓库:https://github.com/lgbarn/devops-skills
仓库路径:skills/auto-documentation
安装命令:
npx skills add https://github.com/lgbarn/devops-skills --skill auto-documentation
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/lgbarn/devops-skills --skill auto-documentation

简介

auto-documentation 从基础设施代码自动生成 README 与运维手册,保持文档与实际配置一致。

  • 适合 Terraform 模块或其他 IaC 项目快速产出标准化说明文件与依赖清单。
  • 支持多种输出格式:模块要求表、提供者版本声明、输入输出参数详解等结构化内容。
  • 使用前需确认 terraform 插件已安装,并能访问 .tf 文件进行静态分析。
  • 生成的文档仅供参考,建议人工复核关键信息如端口号、认证方式等敏感细节。

SKILL.md

Auto-Documentation

Overview

Generate comprehensive documentation from infrastructure code. This skill creates READMEs, runbooks, and architecture documentation that stays in sync with actual code.

Announce at start: "I'm using the auto-documentation skill to generate documentation."

Documentation Types

1. Module README

For Terraform modules, generate:

# Module: [module-name]

[Brief description of what this module provisions]

## Requirements

| Name | Version |
|------|---------|
| terraform | >= X.Y.Z |
| aws | >= X.Y.Z |

## Providers

| Name | Version |
|------|---------|
| aws | X.Y.Z |

## Resources

| Name | Type |
|------|------|
| aws_instance.this | resource |
| aws_security_group.this | resource |

## Inputs

| Name | Description | Type | Default | Required |
|------|-------------|------|---------|:--------:|
| name | Name prefix for resources | `string` | n/a | yes |
| vpc_id | VPC ID | `string` | n/a | yes |

## Outputs

| Name | Description |
|------|-------------|
| instance_id | ID of the created instance |
| public_ip | Public IP address |

## Usage

module "example" { source = "./modules/[module-name]"

name = "my-instance" vpc_id = "vpc-12345" }


## Architecture

[Optional: Mermaid diagram of resources]

## Notes

[Any important considerations, limitations, or gotchas]

2. Environment Documentation

For environment directories:

# Environment: [env-name]

## Overview

[Purpose and scope of this environment]

## Resource Inventory

| Category | Resource Type | Count | Key Resources |
|----------|--------------|-------|---------------|
| Compute | aws_instance | 5 | web-1, web-2, api-1 |
| Database | aws_rds_instance | 2 | primary, replica |
| Network | aws_vpc | 1 | main-vpc |

## Architecture Diagram

graph TB subgraph VPC subgraph Public ALB[Load Balancer] end subgraph Private WEB[Web Servers] API[API Servers] end subgraph Data RDS[(Database)] end end ALB --> WEB WEB --> API API --> RDS


## Access Patterns

| Service | Port | Source | Purpose |
| --- | --- | --- | --- |
| ALB | 443 | 0.0.0.0/0 | Public HTTPS |
| Web | 8080 | ALB | Internal traffic |

## Dependencies

- [External services or accounts this depends on]

## Deployment

[How to deploy changes to this environment]

3. Operational Runbook

For operations documentation:

# Runbook: [service/component]

## Overview

[What this runbook covers]

## Common Operations

### Starting/Stopping

Start the service

terraform apply -target=module.service

Stop (with caution)

See "Emergency Procedures" below


### Scaling

Update instance count

terraform apply -var="instance_count=5"


### Health Checks

Check instance status

aws ec2 describe-instance-status --instance-ids i-xxx

Check application health

curl https://service.example.com/health


## Troubleshooting

### Problem: High CPU Usage

**Symptoms:** CPU > 80% sustained

**Investigation:**

1. Check CloudWatch metrics
2. Review application logs
3. Check for runaway processes

**Resolution:**

- Scale horizontally if traffic-related
- Restart instance if process issue

### Problem: Connection Timeouts

**Symptoms:** 504 errors at load balancer

**Investigation:**

1. Check target group health
2. Verify security group rules
3. Check application logs

**Resolution:**

- [Steps to resolve]

## Emergency Procedures

### Service Outage

1. **Assess**: Check CloudWatch alarms
2. **Communicate**: Notify stakeholders
3. **Mitigate**: [Immediate actions]
4. **Resolve**: [Fix steps]
5. **Review**: Post-incident analysis

### Rollback Procedure

Identify previous state

git log --oneline terraform.tfstate

Restore previous state (CAREFUL!)

[State restoration steps]


## Contacts

| Role | Name | Contact |
| --- | --- | --- |
| On-call | [Team] | [Contact] |
| Escalation | [Manager] | [Contact] |

Process

Step 1: Analyze Code

# Find all Terraform files
find . -name "*.tf" -type f

# Extract structure
grep -h "^variable\|^output\|^resource\|^module" *.tf

Step 2: Parse Components

For each file, extract:

  • Variables with descriptions and defaults
  • Outputs with descriptions
  • Resources with types
  • Module calls with sources

Step 3: Generate Documentation

Based on directory type:

  • Has variables.tf + outputs.tf → Module README
  • Named dev/, staging/, prod/ → Environment docs
  • Contains operational resources → Include runbook sections

Step 4: Review with User

Always present generated docs for review before writing.

Show:

  • What will be created/updated
  • Preview of content
  • Any gaps or questions

Step 5: Write Files

Only after user approval:

  • Write new files
  • Update existing files (preserve custom sections)

Best Practices

Keep Docs in Sync

  • Regenerate after significant changes
  • Use CI to detect doc drift
  • Include doc generation in PR checklist

Custom Sections

Mark custom content to preserve during regeneration:

<!-- BEGIN CUSTOM -->
Your custom content here
<!-- END CUSTOM -->

Diagrams

Use Mermaid for architecture diagrams:

  • Renders in GitHub/GitLab
  • Text-based, version controllable
  • Easy to update

Integration with Memory

Store documentation patterns:

  • Preferred formats
  • Custom sections to preserve
  • Team-specific templates

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.66%
按下载量换算21

Claude

33.43%
按下载量换算21

Cursor

18.57%
按下载量换算12

Gemini CLI

9.81%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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