Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
中文简介正在准备中。当前显示原文说明。
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
中文简介正在准备中。当前显示原文说明。
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
中文简介正在准备中。当前显示原文说明。
Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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