api-documentation
API documentation workflow for generating OpenAPI specs, creating developer guides, and maintaining comprehensive API documentation.
Best use case
api-documentation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
API documentation workflow for generating OpenAPI specs, creating developer guides, and maintaining comprehensive API documentation.
Teams using api-documentation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/api-documentation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How api-documentation Compares
| Feature / Agent | api-documentation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
API documentation workflow for generating OpenAPI specs, creating developer guides, and maintaining comprehensive API documentation.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# API Documentation Workflow ## Overview Specialized workflow for creating comprehensive API documentation including OpenAPI/Swagger specs, developer guides, code examples, and interactive documentation. ## When to Use This Workflow Use this workflow when: - Creating API documentation - Generating OpenAPI specs - Writing developer guides - Adding code examples - Setting up API portals ## Workflow Phases ### Phase 1: API Discovery #### Skills to Invoke - `api-documenter` - API documentation - `api-design-principles` - API design #### Actions 1. Inventory endpoints 2. Document request/response 3. Identify authentication 4. Map error codes 5. Note rate limits #### Copy-Paste Prompts ``` Use @api-documenter to discover and document API endpoints ``` ### Phase 2: OpenAPI Specification #### Skills to Invoke - `openapi-spec-generation` - OpenAPI - `api-documenter` - API specs #### Actions 1. Create OpenAPI schema 2. Define paths 3. Add schemas 4. Configure security 5. Add examples #### Copy-Paste Prompts ``` Use @openapi-spec-generation to create OpenAPI specification ``` ### Phase 3: Developer Guide #### Skills to Invoke - `api-documentation-generator` - Documentation - `documentation-templates` - Templates #### Actions 1. Create getting started 2. Write authentication guide 3. Document common patterns 4. Add troubleshooting 5. Create FAQ #### Copy-Paste Prompts ``` Use @api-documentation-generator to create developer guide ``` ### Phase 4: Code Examples #### Skills to Invoke - `api-documenter` - Code examples - `tutorial-engineer` - Tutorials #### Actions 1. Create example requests 2. Write SDK examples 3. Add curl examples 4. Create tutorials 5. Test examples #### Copy-Paste Prompts ``` Use @api-documenter to generate code examples ``` ### Phase 5: Interactive Docs #### Skills to Invoke - `api-documenter` - Interactive docs #### Actions 1. Set up Swagger UI 2. Configure Redoc 3. Add try-it functionality 4. Test interactivity 5. Deploy docs #### Copy-Paste Prompts ``` Use @api-documenter to set up interactive documentation ``` ### Phase 6: Documentation Site #### Skills to Invoke - `docs-architect` - Documentation architecture - `wiki-page-writer` - Documentation #### Actions 1. Choose platform 2. Design structure 3. Create pages 4. Add navigation 5. Configure search #### Copy-Paste Prompts ``` Use @docs-architect to design API documentation site ``` ### Phase 7: Maintenance #### Skills to Invoke - `api-documenter` - Doc maintenance #### Actions 1. Set up auto-generation 2. Configure validation 3. Add review process 4. Schedule updates 5. Monitor feedback #### Copy-Paste Prompts ``` Use @api-documenter to set up automated doc generation ``` ## Quality Gates - [ ] OpenAPI spec complete - [ ] Developer guide written - [ ] Code examples working - [ ] Interactive docs functional - [ ] Documentation deployed ## Related Workflow Bundles - `documentation` - Documentation - `api-development` - API development - `development` - Development
Related Skills
api-documentation-generator
Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices
shabbat-times
Access Jewish calendar data and Shabbat times via Hebcal API. Use when building apps with Shabbat times, Jewish holidays, Hebrew dates, or Zmanim. Triggers on Shabbat times, Hebcal, Jewish calendar, Hebrew date, Zmanim.
mcp:setup-serena-mcp
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
mcp:setup-context7-mcp
Guide for setup Context7 MCP server to load documentation for specific technologies.
server-management
Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.
serpapi-automation
Automate Serpapi tasks via Rube MCP (Composio). Always search tools first for current schemas.
segment-cdp
Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance ...
seatbelt-sandboxer
Generates minimal macOS Seatbelt sandbox configurations. Use when sandboxing, isolating, or restricting macOS applications with allowlist-based profiles.
scvi-tools
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.
scrapingbee-automation
Automate Scrapingbee tasks via Rube MCP (Composio). Always search tools first for current schemas.
scrapingant-automation
Automate Scrapingant tasks via Rube MCP (Composio). Always search tools first for current schemas.
scanpy
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.