MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Api Design Principles

Api Design Principles is an design AI skill with a core value of Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. It helps developers solve real-world problems in the design domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing...

Last verified on: 2026-07-07

Quick Facts

Category design
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/api-design-principles && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/api-design-principles/SKILL.md -o ./skills/api-design-principles/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# API Design Principles


Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.


Use this skill when


- Designing new REST or GraphQL APIs

- Refactoring existing APIs for better usability

- Establishing API design standards for your team

- Reviewing API specifications before implementation

- Migrating between API paradigms (REST to GraphQL, etc.)

- Creating developer-friendly API documentation

- Optimizing APIs for specific use cases (mobile, third-party integrations)


Do not use this skill when


- You only need implementation guidance for a specific framework

- You are doing infrastructure-only work without API contracts

- You cannot change or version public interfaces


Instructions


1. Define consumers, use cases, and constraints.

2. Choose API style and model resources or types.

3. Specify errors, versioning, pagination, and auth strategy.

4. Validate with examples and review for consistency.


Refer to `resources/implementation-playbook.md` for detailed patterns, checklists, and templates.


Resources


- `resources/implementation-playbook.md` for detailed patterns, checklists, and templates.

🎯 Best For

  • Engineering teams doing code reviews
  • Open source maintainers
  • UI designers
  • Product designers
  • Claude users

💡 Use Cases

  • Reviewing pull requests for security vulnerabilities
  • Checking code style consistency
  • Generating component mockups
  • Creating design system tokens

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Api Design Principles to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

Does this skill check for OWASP Top 10?

Security-focused review skills often include OWASP checks. Check the skill content for specific vulnerability categories covered.

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Does Api Design Principles generate production-ready design specs?

It generates detailed specifications that developers can use directly. Review and adjust for your specific design system.

How do I install Api Design Principles?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/api-design-principles/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Blindly accepting AI suggestions

Always verify AI-generated review comments. Some suggestions may not apply to your specific codebase conventions.

Skipping usability testing

AI-generated designs should be validated with real users before development.

Not reading the full skill

Skills contain important context and edge cases beyond the quick start.

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