api-patterns

name	api-patterns
description	API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
risk	unknown
source	community
date_added	2026-02-27

API Patterns

API design principles and decision-making for 2025. Learn to THINK, not copy fixed patterns.

🎯 Selective Reading Rule

Read ONLY files relevant to the request! Check the content map, find what you need.

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📑 Content Map

File	Description	When to Read
api-style.md	REST vs GraphQL vs tRPC decision tree	Choosing API type
rest.md	Resource naming, HTTP methods, status codes	Designing REST API
response.md	Envelope pattern, error format, pagination	Response structure
graphql.md	Schema design, when to use, security	Considering GraphQL
trpc.md	TypeScript monorepo, type safety	TS fullstack projects
versioning.md	URI/Header/Query versioning	API evolution planning
auth.md	JWT, OAuth, Passkey, API Keys	Auth pattern selection
rate-limiting.md	Token bucket, sliding window	API protection
documentation.md	OpenAPI/Swagger best practices	Documentation
security-testing.md	OWASP API Top 10, auth/authz testing	Security audits

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🔗 Related Skills

Need	Skill
API implementation	@[skills/backend-development]
Data structure	@[skills/database-design]
Security details	@[skills/security-hardening]

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✅ Decision Checklist

Before designing an API:

• Asked user about API consumers?
• Chosen API style for THIS context? (REST/GraphQL/tRPC)
• Defined consistent response format?
• Planned versioning strategy?
• Considered authentication needs?
• Planned rate limiting?
• Documentation approach defined?

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❌ Anti-Patterns

DON'T:

• Default to REST for everything
• Use verbs in REST endpoints (/getUsers)
• Return inconsistent response formats
• Expose internal errors to clients
• Skip rate limiting

DO:

• Choose API style based on context
• Ask about client requirements
• Document thoroughly
• Use appropriate status codes

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Script

Script	Purpose	Command
scripts/api_validator.py	API endpoint validation	python scripts/api_validator.py <project_path>

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.