lgbarn/devops-skills/auto-documentation

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Use when generating documentation for Terraform modules, infrastructure, or runbooks. Creates READMEs, operational guides, and architecture docs.

Install

npx vskill@latest install lgbarn/devops-skills/auto-documentation

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:

markdown
# 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:

markdown
# 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:

markdown
# 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
bash
# 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:

markdown
<!-- 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

Security

  • Security scanPassed, 98 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
15
Repository forks
3
7-day trend score
12

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 11 May 2026, 6 months ago.

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