Claude Skills Guide

Claude Code Documentation Generation Workflow

Documentation often falls to the bottom of the priority list in software projects. Yet it is one of the most valuable assets a team can maintain. Claude Code, combined with the right set of skills, transforms documentation from a manual chore into an automated process that keeps your codebase documented without extra effort.

This guide presents a practical workflow for generating documentation automatically using Claude Code and specialized skills. You will see concrete examples, skill recommendations, and a step-by-step process you can implement immediately. If you are evaluating Claude Code against GitHub Copilot for documentation tasks, see the Claude Code vs Copilot comparison instead.

Prerequisites and Skill Setup

Before starting the workflow, you need Claude Code installed and a few skills loaded. The key skills for documentation generation include:

Skills are .md files in ~/.claude/skills/. Built-in skills like pdf, docx, and supermemory are pre-installed. To add a community skill, copy its .md file to that directory.

A typical skill setup looks like this:

cp pdf.md ~/.claude/skills/pdf.md
cp docx.md ~/.claude/skills/docx.md
cp supermemory.md ~/.claude/skills/supermemory.md

After adding skills, start a new session and invoke them with /skill-name.

Step 1: Define Documentation Scope

Every project has different documentation needs. The first step is identifying what you actually need to document. Open Claude Code in your project directory and ask:

Analyze this codebase and identify the main modules, public APIs, 
and data structures that require documentation. Create a prioritized 
list with file paths and documentation type recommendations.

Claude scans your codebase and produces a scoped list. For a typical REST API project, the output might include:

This scope definition prevents the common trap of either over-documenting trivial code or under-documenting critical components.

Step 2: Generate Inline Documentation

With scope defined, generate inline documentation directly in your code. Claude Code can analyze functions, classes, and modules to produce JSDoc, DocString, or TypeScript documentation.

Request inline documentation with specific formatting:

Add JSDoc comments to all exported functions in src/routes/. 
Include: @param, @returns, @throws, and a one-line description.
Do not modify function logic, only add documentation.

The tdd skill enhances this process by ensuring documentation matches testable interfaces. When you combine documentation generation with test-first principles, you get docs that accurately reflect behavior because tests validate that behavior.

For Python projects, the equivalent request works with DocString format:

Generate NumPy-style docstrings for all classes in src/models/.
Include: Parameters, Returns, Raises, and Examples sections.

Step 3: Create Project Documentation Files

Beyond inline comments, your project needs standalone documentation files. Claude Code generates these efficiently:

README Generation

Create a comprehensive README.md for this project. Include:
- Project description (2-3 sentences)
- Installation instructions
- Usage examples with code snippets
- API overview table
- Contributing guidelines
- License

Base the content on actual code in src/ and package.json.

API Documentation

For API-focused projects, generate OpenAPI specs or Markdown API docs:

Generate OpenAPI 3.0 specification for all endpoints in src/routes/.
Include request/response schemas, status codes, and example payloads.
Output as docs/openapi.yaml

The pdf skill becomes valuable at this stage for generating polished, exportable documentation:

Using the PDF skill, compile the README.md, API documentation, and 
code coverage report into a single formatted PDF deliverable.
Save as docs/project-documentation.pdf

Step 4: Maintain Documentation with Version Control

Documentation that falls out of sync with code is worse than no documentation. Build documentation updates into your workflow using Git hooks or Claude hooks.

Create a pre-commit hook that triggers documentation review:

#!/bin/bash
# .git/hooks/pre-commit
claude docs:check "Review changes in this commit for documentation updates needed"

Alternatively, use Claude hooks for more sophisticated automation. Configure .claude/hooks.json:

{
  "hooks": {
    "post-write": [
      {
        "match": "src/**/*.ts",
        "run": "claude docs:update-javadoc {file}"
      }
    ]
  }
}

The supermemory skill stores documentation decisions and patterns between sessions. This means Claude remembers your preferred formats, common patterns, and style preferences without you re-explaining them each time.

Step 5: Automate Documentation in CI/CD

For teams, automation is essential. Integrate documentation generation into your CI pipeline:

# .github/workflows/docs.yml
name: Documentation Generation
on:
  push:
    branches: [main]
    paths: ['src/**']

jobs:
  generate-docs:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Generate API Docs
        run: claude "Generate OpenAPI spec and save to docs/api.yaml"
      - name: Generate README
        run: claude "Update README.md based on current package.json and src/"
      - name: Commit docs
        run: |
          git config --local user.email "ci@github.com"
          git config --local user.name "CI Bot"
          git add docs/
          git commit -m "docs: auto-generated API documentation" || exit 0
          git push

This workflow ensures documentation updates automatically whenever code changes in the src/ directory.

Practical Example: Documenting a Utility Module

Consider a real-world scenario. You have a utility file that needs documentation:

// src/utils/date-helpers.ts
export function formatDate(date: Date, format: string): string {
  // implementation
}

export function parseDate(input: string): Date {
  // implementation
}

export function getRelativeTime(date: Date): string {
  // implementation
}

Request documentation generation:

Add JSDoc documentation to src/utils/date-helpers.ts with:
- @fileoverview description
- @module declaration
- @param and @returns for each function
- Usage examples showing all three functions working together

Claude produces:

/**
 * @fileoverview Date formatting and parsing utilities
 * @module date-helpers
 */

/**
 * Formats a date according to the specified format string
 * @param date - The date to format
 * @param format - Format string (e.g., 'YYYY-MM-DD')
 * @returns Formatted date string
 * @example
 * const formatted = formatDate(new Date(), 'YYYY-MM-DD');
 * // returns '2026-03-14'
 */
export function formatDate(date: Date, format: string): string {
  // implementation
}

Measuring Documentation Quality

Documentation quality matters as much as quantity. Track these metrics:

Use Claude to audit documentation quality periodically:

Audit the documentation in this project. Report:
- Files with 0% documentation coverage
- Files with outdated documentation (not updated in 90+ days)
- Missing examples in function documentation
- Inconsistent formatting across files

Summary

Automating documentation with Claude Code follows a clear pattern: define scope, generate inline docs, create standalone files, maintain with version control, and automate in CI. The key skills—pdf, docx, tdd, supermemory, and frontend-design—work together to produce and maintain documentation without manual effort.

Start small. Document one module thoroughly, then expand to other components. The workflow scales naturally as your project grows.

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