home / skills / jeremylongshore / claude-code-plugins-plus-skills / code-documentation-analyzer

This skill helps audit and generate production-ready code documentation configurations and guidelines for APIs, guides, and architecture.

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill code-documentation-analyzer

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SKILL.md
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---
name: "code-documentation-analyzer"
description: |
  Analyze code documentation analyzer operations. Auto-activating skill for Technical Documentation.
  Triggers on: code documentation analyzer, code documentation analyzer
  Part of the Technical Documentation skill category. Use when analyzing or auditing code documentation analyzer. Trigger with phrases like "code documentation analyzer", "code analyzer", "analyze code documentation r".
allowed-tools: "Read, Write, Edit, Bash(cmd:*), Grep"
version: 1.0.0
license: MIT
author: "Jeremy Longshore <[email protected]>"
---

# Code Documentation Analyzer

## Overview

This skill provides automated assistance for code documentation analyzer tasks within the Technical Documentation domain.

## When to Use

This skill activates automatically when you:
- Mention "code documentation analyzer" in your request
- Ask about code documentation analyzer patterns or best practices
- Need help with technical documentation skills covering api docs, user guides, architecture docs, and documentation automation.

## Instructions

1. Provides step-by-step guidance for code documentation analyzer
2. Follows industry best practices and patterns
3. Generates production-ready code and configurations
4. Validates outputs against common standards

## Examples

**Example: Basic Usage**
Request: "Help me with code documentation analyzer"
Result: Provides step-by-step guidance and generates appropriate configurations


## Prerequisites

- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of technical documentation concepts


## Output

- Generated configurations and code
- Best practice recommendations
- Validation results


## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |


## Resources

- Official documentation for related tools
- Best practices guides
- Community examples and tutorials

## Related Skills

Part of the **Technical Documentation** skill category.
Tags: documentation, markdown, api-docs, readme, technical-writing

Overview

This skill automates analysis and auditing of code documentation to improve clarity, completeness, and consistency across projects. It targets API docs, user guides, architecture notes, and documentation automation pipelines to produce actionable fixes and validated outputs. Use it to surface gaps, enforce style rules, and generate production-ready documentation snippets.

How this skill works

The skill scans code repositories, documentation files, and configuration to identify missing or inconsistent documentation, unclear API descriptions, and outdated examples. It applies industry patterns and style rules, suggests revisions, generates examples or configuration snippets, and validates outputs against common standards. Results include prioritized issues, recommended edits, and optional autogenerated sections ready for review.

When to use it

  • Auditing a codebase for missing or inconsistent documentation
  • Improving API reference quality and example coverage
  • Automating documentation generation as part of CI/CD
  • Producing or validating user guides and architecture docs
  • Assessing documentation readiness for release or handoff

Best practices

  • Start with a focused scan: API surface, README, and main guides before full repo sweep
  • Enforce a consistent style guide and validate examples against real code
  • Prioritize high-impact items: public APIs, onboarding docs, and troubleshooting steps
  • Integrate checks into CI to catch regressions early
  • Provide small, reviewable patches rather than sweeping automated rewrites

Example use cases

  • Generate missing API endpoint examples and parameter tables for a public SDK
  • Detect and fix mismatched code samples that no longer compile after refactors
  • Create a checklist and automated validation for documentation before release
  • Suggest concise architecture summaries from source comments and docs
  • Produce configuration snippets for documentation tooling and CI integration

FAQ

What inputs are required?

Provide the repository or documentation files to scan, and indicate any preferred style guides or standards to enforce.

Can it modify files directly?

It can generate patch suggestions or full file drafts; apply changes via review and CI to maintain control.