SKILLS/api-patterns/SKILL.md
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
npx skillsauth add pinkpixel-dev/skills-collection-1 api-patternsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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API design principles and decision-making for 2025. Learn to THINK, not copy fixed patterns.
Read ONLY files relevant to the request! Check the content map, find what you need.
| 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 |
| Need | Skill |
|------|-------|
| API implementation | @[skills/backend-development] |
| Data structure | @[skills/database-design] |
| Security details | @[skills/security-hardening] |
Before designing an API:
DON'T:
DO:
| Script | Purpose | Command |
|--------|---------|---------|
| scripts/api_validator.py | API endpoint validation | python scripts/api_validator.py <project_path> |
This skill is applicable to execute the workflow or actions described in the overview.
testing
When the user wants a full ASO health audit, review their App Store listing quality, or diagnose why their app isn't ranking. Also use when the user mentions "ASO audit", "ASO score", "why am I not ranking", "listing review", or "optimize my app store page". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.
testing
Clarify requirements before implementing. Use when serious doubts arise.
tools
Complete reference and build guide for ASI:One (ASI1) — the AI platform by Fetch.ai built for agentic, Web3-native applications. Use this skill IMMEDIATELY and ALWAYS when the user mentions ASI1, ASI:One, Fetch.ai AI API, building with ASI1, integrating ASI:One, asking about ASI1 models, tool calling with ASI1, ASI1 image generation, ASI1 agentic LLM, Agentverse, uagents, Agent Chat Protocol, structured output with ASI1, or OpenAI-compatible wrappers for ASI1. Also trigger when the user says things like "use ASI1 instead of OpenAI", "build an app with ASI:One", "ASI1 API", or references docs.asi1.ai. This skill covers everything needed to build production apps - setup, all models, all API features, tool calling, image gen, agentic orchestration, structured data, session management, streaming, LangChain integration, uagents / Agent Chat Protocol, and TypeScript/Node.js patterns.
data-ai
When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.