Build, deploy, and manage full-stack applications and AI agents on the Tencent EdgeOne Makers platform, including cloud functions, edge functions, middleware, storage, and CLI tooling.
Edge middleware for EdgeOne Makers — request interception, redirects, rewrites, auth guards, A/B testing, and header injection at the edge (V8 runtime).
V8-based lightweight edge functions on EdgeOne Makers. Covers routing, KV storage access, request/response handling, and environment variables at the edge.
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 CLI command reference. Use when running edgeone CLI commands for dev, build, deploy, env management.
EdgeOne Makers Cloud Functions — Node.js, Go, and Python runtimes. Use when building server-side APIs, Express/Koa patterns, or backend logic.
Modifies files
Hook triggers on file write and edit operations
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Official AI Agent Skills for developing and deploying projects on EdgeOne Makers.
npx skills (Claude Code / Cursor / Codex / CodeBuddy CLI 等)npx skills add TencentEdgeOne/edgeone-makers-tools
This installs 9 independent sub-skills (one per capability) into your
agent's skills directory (.codebuddy/skills/<name>/, .claude/skills/<name>/,
.cursor/skills/<name>/, …). Your agent loads only the matching skill per
task — no router indirection.
Search and install edgeone-makers-tools from the CodeBuddy plugin marketplace or
SkillHub. These platforms install the skill from the
skillhub
branch, which adds a frontmatter to the root SKILL.md so the platform can
register it as a single root skill (it then routes to the same 9 sub-skills
internally).
Why two branches? The two install ecosystems have incompatible requirements on the root
SKILL.md(one wants no frontmatter, the other requires one). Themainbranch is optimized fornpx skills add; theskillhubbranch is optimized for CodeBuddy / SkillHub. SeeBRANCH.mdon theskillhubbranch for the maintenance flow.
/plugin marketplace add TencentEdgeOne/edgeone-makers-tools
/plugin install edgeone-makers-tools@edgeone-makers
After installation, your AI coding agent will automatically detect relevant tasks and load the right skill.
| Skill | Description |
|---|---|
makers-agents | AI Agent development (DeepAgents, LangGraph, Claude SDK, OpenAI Agents, CrewAI) |
makers-deploy | Deploy projects to EdgeOne |
makers-edge-functions | Edge Functions (V8 lightweight runtime) |
makers-cloud-functions | Cloud Functions (Node.js / Go / Python) |
makers-storage | KV + Blob Storage |
makers-middleware | Middleware (auth, rewrites, routing) |
makers-cli | CLI command reference |
makers-recipes | Project structure templates & scaffolding |
Deployment:
Deploy my project to EdgeOne
Deploy this Next.js project and give me the preview URL
Development:
Create an API for user registration
Write middleware to protect my /api routes with auth
Set up Edge Functions with KV storage for a page view counter
Create a Go API with Gin framework
AI Agents:
Build an AI chat agent on EdgeOne Makers
Wire LangGraph into my Makers project with checkpointer + store
Create a Claude Agent SDK endpoint with sandbox code execution
skills/
├── makers-agents/ # AI Agent development
│ ├── SKILL.md # Decision tree, red lines, framework routing
│ └── references/
│ ├── platform/ # Entry conventions, env, SSE protocol
│ ├── capabilities/ # Store, sandbox, tools
│ ├── node-frameworks/ # Claude SDK, LangGraph, OpenAI Agents, DeepAgents
│ └── python-frameworks/ # Claude SDK, LangGraph, OpenAI Agents, DeepAgents, CrewAI
├── makers-deploy/ # Deployment workflow
│ ├── SKILL.md
│ └── references/
├── makers-edge-functions/ # V8 edge runtime
│ └── SKILL.md
├── makers-cloud-functions/ # Node.js / Go / Python
│ ├── SKILL.md
│ └── references/
├── makers-storage/ # KV + Blob storage
│ └── SKILL.md
├── makers-middleware/ # Request interception
│ └── SKILL.md
├── makers-cli/ # CLI commands
│ └── SKILL.md
└── makers-recipes/ # Project templates
└── SKILL.md
Each skill follows the skill-creator standard:
SKILL.md — YAML frontmatter (name + description) + core instructionsreferences/ — detailed docs loaded on demand, routed from SKILL.mdThis repo includes plugin manifests for multiple AI platforms:
.claude-plugin/ — Claude Code.cursor-plugin/ — Cursor.codebuddy-plugin/ — CodeBuddyHooks (hooks/) provide context-aware skill injection via UserPromptSubmit and PreToolUse events.
MIT
npx claudepluginhub tencentedgeone/edgeone-makers-toolsBuild AI agents on Cloudflare Workers with MCP integration, tool use, and LLM providers.
Build and deploy web apps and agents
Deploy websites, apps, and AI agents to Agentuity — with managed databases, storage, queues, and more
Cloudflare Workers, AI, Workflows, and VPC services development
Netlify platform skills for Claude Code
Skills for the Cloudflare developer platform: Workers, Durable Objects, Agents SDK, MCP servers, Wrangler CLI, and web performance