API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
npx skills add https://github.com/lingxling/awesome-skills-cn --skill api-patterns
> 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.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Implements API versioning using URL paths, headers, or query parameters with backward compatibility and deprecation strategies. Use when managing multiple API versions, planning breaking changes, or designing migration paths.
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