api-documentation-generator
About
This skill generates comprehensive API documentation from source code, including OpenAPI specifications and endpoint details. It's ideal for creating or updating API docs when users mention endpoints or documentation needs. The tool produces structured documentation with parameters, responses, and code examples for each endpoint.
Quick Install
Claude Code
Recommended/plugin add https://github.com/luongnv89/claude-howtogit clone https://github.com/luongnv89/claude-howto.git ~/.claude/skills/api-documentation-generatorCopy and paste this command in Claude Code to install this skill
Documentation
API Documentation Generator Skill
Generates
- OpenAPI/Swagger specifications
- API endpoint documentation
- SDK usage examples
- Integration guides
- Error code references
- Authentication guides
Documentation Structure
For Each Endpoint
## GET /api/v1/users/:id
### Description
Brief explanation of what this endpoint does
### Parameters
| Name | Type | Required | Description |
|------|------|----------|-------------|
| id | string | Yes | User ID |
### Response
**200 Success**
```json
{
"id": "usr_123",
"name": "John Doe",
"email": "john@example.com",
"created_at": "2025-01-15T10:30:00Z"
}
404 Not Found
{
"error": "USER_NOT_FOUND",
"message": "User does not exist"
}
Examples
cURL
curl -X GET "https://api.example.com/api/v1/users/usr_123" \
-H "Authorization: Bearer YOUR_TOKEN"
JavaScript
const user = await fetch('/api/v1/users/usr_123', {
headers: { 'Authorization': 'Bearer token' }
}).then(r => r.json());
Python
response = requests.get(
'https://api.example.com/api/v1/users/usr_123',
headers={'Authorization': 'Bearer token'}
)
user = response.json()
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
creating-opencode-plugins
MetaThis skill provides the structure and API specifications for creating OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It offers implementation patterns for JavaScript/TypeScript modules that intercept and extend the AI assistant's lifecycle. Use it when you need to build event-driven plugins for monitoring, custom handling, or extending OpenCode's capabilities.
evaluating-llms-harness
TestingThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
langchain
MetaLangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.
