Claude Code SDK Documentation Workflow

Building a reliable SDK requires excellent documentation. A well-documented SDK saves developer time, reduces support burden, and accelerates adoption. Claude Code provides a powerful workflow for generating, maintaining, and updating SDK documentation automatically.

This guide shows you how to create an efficient SDK documentation workflow using Claude skills. You will learn to automate API reference generation, maintain code examples, and keep documentation synchronized with your codebase.

Prerequisites

Before starting, ensure you have:

Claude Code installed and configured
An SDK project (JavaScript, TypeScript, Python, Go, or similar)
The pdf skill for generating formatted documentation
The supermemory skill for tracking documentation across sessions
Git enabled for version control

These tools work together to create a documentation pipeline that runs locally without external services.

Step 1: Structure Your SDK Documentation

Organize your documentation before generating content. A well-structured SDK documentation system includes:

API reference (auto-generated from source)
Usage guides (manual, code-heavy)
Code examples (tested snippets)
Changelog (commit-based)

Create a docs/ directory in your SDK repository:

my-sdk/
├── src/
│   ├── client.ts
│   └── types.ts
├── docs/
│   ├── api/
│   ├── guides/
│   └── examples/
└── README.md

This structure separates generated content from manual documentation, making automation straightforward.

Step 2: Generate API Reference Automatically

The core of SDK documentation is the API reference. Use Claude to scan your source files and generate reference documentation.

Start a Claude session and run:

Analyze the src/ directory and generate API reference documentation.
For each exported function and class, document:
- function signature
- parameters with types
- return type
- description
- example usage

Output the result to docs/api/reference.md

Claude reads your source files and produces markdown documentation. For a TypeScript SDK, this produces clean JSDoc-style documentation:

// Your SDK source
export class APIClient {
  async getUser(id: string): Promise<User> {
    return this.request('GET', `/users/${id}`);
  }

  async createUser(data: CreateUserInput): Promise<User> {
    return this.request('POST', '/users', data);
  }
}

This generates reference docs that developers can browse immediately.

Step 3: Maintain Code Examples

Static code examples become outdated quickly. The solution is maintaining executable examples that double as tests.

Use the tdd skill to create verified code examples:

Create a test file examples/user-operations.test.ts that demonstrates:
- Creating a new user
- Fetching user details
- Updating user information

Each test case should serve as working documentation.
Run the tests to verify examples are correct.

The tdd skill helps you write tests that demonstrate actual SDK usage. These tests become proof that your documentation examples work:

import { APIClient } from '../src/client';

describe('SDK Examples', () => {
  it('creates a user', async () => {
    const client = new APIClient({ apiKey: 'test-key' });
    const user = await client.createUser({
      name: 'Developer',
      email: 'dev@example.com'
    });
    expect(user.id).toBeDefined();
  });
});

Run these tests in your CI pipeline to ensure examples never break.

Step 4: Generate PDF Documentation

For release packages and offline reading, generate PDF documentation using the pdf skill:

Using the pdf skill, generate a comprehensive PDF document:
- Title: SDK Documentation v1.0
- Include: API reference from docs/api/
- Include: Key usage guides
- Output to: docs/sdk-docs.pdf

The pdf skill converts your markdown documentation into professionally formatted PDFs suitable for distribution.

Step 5: Track Documentation Changes

Documentation drift happens when code changes without updating docs. Use the supermemory skill to track documentation decisions and flag changes that need attention:

Use supermemory to track:
- Which files have associated documentation
- Last review date for each doc file
- Known documentation gaps

When I make significant code changes, remind me which
documentation files need updates.

The supermemory skill persists this context across Claude sessions, creating institutional memory for your SDK documentation.

Step 6: Automate Documentation Updates

Set up a documentation update workflow that triggers on code changes. Create a script that runs Claude to update docs:

#!/bin/bash
# update-docs.sh

claude "Run the documentation update workflow:
1. Check src/ for changes since last documentation update
2. For each changed file, update associated docs/
3. Run tdd tests to verify examples still work
4. Report any documentation gaps"

echo "Documentation update complete"

Add this to your CI pipeline or run manually before releases.

Optional: Add UI Documentation

If your SDK includes frontend components, use the frontend-design skill to document UI props and usage:

Using the frontend-design skill, generate component documentation
for any UI-related exports in src/components/
Include: props table, default values, usage examples
Output to: docs/guides/components.md

This creates visual documentation that complements your API reference.

Workflow Summary

Step	Action	Claude Skill
1	Structure docs directory	-
2	Generate API reference	-
3	Maintain code examples	tdd
4	Generate PDF output	pdf
5	Track documentation state	supermemory
6	Automate updates	-

This workflow reduces documentation overhead significantly. Your SDK documentation stays current because it derives from actual source code and tested examples.

Common Pitfalls

Avoid these mistakes when building SDK documentation:

No executable examples: Static examples break. Always use tested code.
Missing version tracking: Document which SDK version each doc applies to.
Outdated API reference: Regenerate reference documentation before each release.
No feedback loop: Add a mechanism for users to report documentation issues.

Conclusion

An automated SDK documentation workflow saves time and improves developer experience. By generating API references from source, maintaining tested examples, and tracking documentation state, you ensure your SDK documentation stays accurate and useful.

The combination of Claude Code skills—pdf for output generation, tdd for verified examples, and supermemory for context tracking—creates a powerful documentation system that requires minimal manual maintenance.

Start with the structure, automate generation, and add tracking. Your SDK users will thank you.

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