api-reference-documentation▌
aj-geddes/useful-ai-prompts · updated Apr 8, 2026
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Generate professional API documentation that developers can use to integrate with your API, including endpoint specifications, authentication, request/response examples, and interactive documentation.
API Reference Documentation
Table of Contents
Overview
Generate professional API documentation that developers can use to integrate with your API, including endpoint specifications, authentication, request/response examples, and interactive documentation.
When to Use
- Documenting REST APIs
- Creating OpenAPI/Swagger specifications
- GraphQL API documentation
- SDK and client library docs
- API authentication guides
- Rate limiting documentation
- Webhook documentation
- API versioning guides
Quick Start
Minimal working example:
openapi: 3.0.3
info:
title: E-Commerce API
description: |
Complete API for managing e-commerce operations including products,
orders, customers, and payments.
## Authentication
All endpoints require Bearer token authentication. Include your API key
in the Authorization header: `Authorization: Bearer YOUR_API_KEY`
## Rate Limiting
- 1000 requests per hour for authenticated users
- 100 requests per hour for unauthenticated requests
## Pagination
List endpoints return paginated results with `page` and `limit` parameters.
version: 2.0.0
contact:
name: API Support
email: [email protected]
url: https://example.com/support
license:
name: MIT
url: https://opensource.org/licenses/MIT
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| OpenAPI Specification Example | openapi: 3.0.3 |
| List Products | List Products |
Best Practices
✅ DO
- Use OpenAPI 3.0+ specification
- Include request/response examples for every endpoint
- Document all query parameters and headers
- Provide authentication examples
- Include error response formats
- Document rate limits and pagination
- Use consistent naming conventions
- Include SDK examples in multiple languages
- Document webhook payloads
- Provide interactive API explorer (Swagger UI)
- Version your API documentation
- Include migration guides for breaking changes
❌ DON'T
- Skip error response documentation
- Forget to document authentication
- Use inconsistent terminology
- Leave endpoints undocumented
- Ignore deprecation notices
- Skip versioning information
How to use api-reference-documentation on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add api-reference-documentation
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches api-reference-documentation from GitHub repository aj-geddes/useful-ai-prompts and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate api-reference-documentation. Access the skill through slash commands (e.g., /api-reference-documentation) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★73 reviews- ★★★★★Kaira Johnson· Dec 28, 2024
We added api-reference-documentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Dec 24, 2024
I recommend api-reference-documentation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Haddad· Dec 16, 2024
We added api-reference-documentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★James Martinez· Dec 4, 2024
Solid pick for teams standardizing on skills: api-reference-documentation is focused, and the summary matches what you get after install.
- ★★★★★Luis Ramirez· Dec 4, 2024
api-reference-documentation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chinedu Harris· Dec 4, 2024
Useful defaults in api-reference-documentation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakura Thompson· Nov 23, 2024
api-reference-documentation has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kiara Rao· Nov 23, 2024
api-reference-documentation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Mei Park· Nov 23, 2024
I recommend api-reference-documentation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chinedu Farah· Nov 19, 2024
Keeps context tight: api-reference-documentation is the kind of skill you can hand to a new teammate without a long onboarding doc.
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