TencentEdgeOne/edgeone-makers-tools

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name: edgeone-makers-tools

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。

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name: edgeone-makers-tools

description: 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.

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name: edgeone-makers-agents

description: 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 makers-edge-functions / makers-cloud-functions / makers-middleware). Do NOT trigger for deployment workflows (use makers-deploy). Do NOT trigger for generic AI framework development outside an EdgeOne Makers project.

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name: edgeone-makers-cli

description: EdgeOne Makers CLI command reference. Use when running edgeone CLI commands for dev, build, deploy, env management.

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name: edgeone-makers-cloud-functions

description: EdgeOne Makers Cloud Functions — Node.js, Go, and Python runtimes. Use when building server-side APIs, Express/Koa patterns, or backend logic.

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name: edgeone-makers-deploy

description: This skill deploys frontend and full-stack projects to EdgeOne Makers (Tencent EdgeOne). Trigger this skill whenever deployment is part of the task — whether as the primary intent or a secondary step. Examples: "deploy my app", "publish this site", "push this live", "create a preview deployment", "deploy to EdgeOne", "ship to production", "go live", "release", "publish a new version", "redeploy", "上线", "发布", "发一版", "重新部署", "搭建并部署", "开发并上线", "build and deploy", "create and deploy". Also trigger for login-free deployment and project claiming: "deploy without login", "no account yet", "anonymous deploy", "claim project", "claim my deployment", "免登录部署", "匿名部署", "还没有账号", "认领项目". ⚠️ Also trigger when any agent is about to execute `edgeone makers deploy` or `edgeone makers deploy` commands — the skill contains critical rules for parsing deploy output and presenting access URLs. Do NOT trigger for post-deployment runtime errors (e.g. CORS issues, 500 errors after deploy — use makers-env-adaption / makers-recipes for troubleshooting).

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name: edgeone-makers-edge-functions

description: V8-based lightweight edge functions on EdgeOne Makers. Covers routing, KV storage access, request/response handling, and environment variables at the edge.

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name: edgeone-makers-env-adaption

description: Environment-specific adaptation rules for EdgeOne Makers Skills running in sandboxed or restricted AI coding environments (e.g. WorkBuddy). Trigger when: the user is working in WorkBuddy or a sandboxed IDE where CLI prompts hang and network is proxy-isolated (but browser login still works). Covers: non-interactive CLI flags, network isolation workarounds, login in sandbox, proxy bypass, file preview constraints (MUST use http:// via dev server, NEVER file://, NEVER python -m http.server / npx serve), dev server requirements.

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name: edgeone-makers-frameworks

description: Web framework support matrix for EdgeOne Makers — which platform adapter each full-stack framework needs, where it plugs in, the build output directory, the preview asset-prefix option, the 404 convention, version floors, and the features the platform does not support yet. Read this whenever a request names a web framework: Next.js, Nuxt, Astro, React Router, SvelteKit, TanStack Start, Vike, Vite / React / Vue, Hugo, or any other frontend framework.

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name: edgeone-makers-middleware

description: Edge middleware for EdgeOne Makers — request interception, redirects, rewrites, auth guards, A/B testing, and header injection at the edge (V8 runtime).

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name: edgeone-makers-migration

description: Migrate existing AI agent projects (LangChain, LangGraph, OpenAI Agents SDK, Claude Agent SDK, CrewAI) to EdgeOne Makers platform conventions. Use when the user wants to adapt a standard agent project to run on EdgeOne Makers, convert Express/Next.js API routes to Makers handlers, or add platform capabilities (context.tools, context.sandbox, context.store). Do NOT trigger for new agent projects (use makers-agents instead).

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name: edgeone-makers-recipes

description: Project structure templates and scaffolding recipes for typical EdgeOne Makers applications — full-stack apps, static sites, API services, and AI agent projects.

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name: edgeone-makers-storage

description: KV and Blob storage services on EdgeOne Makers. KV for edge key-value pairs, Blob for file/object storage in Cloud Functions. Covers SDK usage, setup, and troubleshooting.