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Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
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npx skills add https://github.com/TencentEdgeOne/edgeone-makers-tools --skill edgeone-makers-toolsDer Befehl bleibt in einer Zeile. Scrollen Sie horizontal, um ihn vor dem Kopieren vollständig zu prüfen.
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SKILL.md wird angezeigt
| slug | edgeone-makers-tools |
| name | edgeone-makers-tools |
| displayName | EdgeOne Makers |
| version | 1.0.0 |
| license | MIT |
| description | EdgeOne Makers 全栈开发技能包 —— 涵盖 AI Agent 开发（DeepAgents、LangGraph、 Claude SDK、OpenAI Agents、CrewAI）、云函数（Node.js/Go/Python）、边缘函数、 KV 存储、中间件及快速部署，帮助 AI 编程助手准确高效地在 EdgeOne 平台上构建和发布应用。 |
| metadata | {"author":"edgeone","version":"1.0.0"} |
When you need EdgeOne Makers platform development guidance, read the matching Skill based on the task:
| Task | Read |
|---|---|
| AI Agent development (DeepAgents, LangGraph, Claude SDK, OpenAI Agents, CrewAI) | skills/makers-agents/SKILL.md |
| Deploy project to EdgeOne | skills/makers-deploy/SKILL.md |
| Edge Functions (V8 lightweight functions) | skills/makers-edge-functions/SKILL.md |
| Cloud Functions (Node.js / Go / Python APIs) | skills/makers-cloud-functions/SKILL.md |
| KV + Blob Storage | skills/makers-storage/SKILL.md |
| Middleware (auth, rewrites, routing) | skills/makers-middleware/SKILL.md |
| CLI command reference | skills/makers-cli/SKILL.md |
| Project structure / scaffolding | skills/makers-recipes/SKILL.md |
| Environment adaptation (WorkBuddy / sandbox / CI) | skills/makers-env-adaption/SKILL.md |
⚠️ Only read the Skill relevant to the current task. Do not load all skills at once.
This skill guides building AI agent endpoints on EdgeOne Makers — five framework routes (DeepAgents, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK), platform-injected `context.store` / `context.tools` / `context.sandbox`, conversation_id dual-channel routing, SSE streaming, and `agents/` vs `cloud-functions/` separation. It should be used when the user wants to create or review an AI agent endpoint on EdgeOne Makers — e.g. "build an agent on EdgeOne Makers", "create a Claude agent endpoint", "wire LangGraph into Makers", "stream LLM responses with SSE", "review my agent template", "use context.store / context.sandbox / context.tools". Do NOT trigger for plain Edge Functions, Cloud Functions, or middleware (those don't run AI logic — use edgeone-pages-dev instead). Do NOT trigger for deployment workflows (use edgeone-pages-deploy). Do NOT trigger for generic AI framework development outside an EdgeOne Makers project.
EdgeOne Makers platform development router — the single entry point for building, storing data, and deploying on Tencent EdgeOne Makers. Trigger whenever the user develops, scaffolds, or deploys anything on EdgeOne Makers / EdgeOne Pages: AI agents (DeepAgents, LangGraph, CrewAI, OpenAI/Claude SDK), Cloud Functions (Node/Go/Python), Edge Functions (V8), KV + Blob storage, middleware, CLI usage, project scaffolding, and — importantly — persisting dynamic site data (messages, uploads, votes, save-state) where there is NO managed database, so Blob is used as the backend. Also trigger on "deploy to EdgeOne", "上线", "发布", "部署到 EdgeOne". This SKILL is a routing table; read only the sub-skill relevant to the current task, never all of them at once.
EdgeOne Makers Cloud Functions — Node.js, Go, and Python runtimes. Use when building server-side APIs, Express/Koa patterns, or backend logic.
Basierend auf der SOC-Berufsklassifikation
