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tencentedgeone/edgeone-makers-tools249 installs

edgeone-makers-recipes

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

How do I install this agent skill?

npx skills add https://github.com/tencentedgeone/edgeone-makers-tools --skill edgeone-makers-recipes
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill provides project templates and documentation for the EdgeOne Makers platform. It follows security best practices for environment variable management and uses standard, well-known libraries.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

Common Recipes

⛔ Preview ban: after finishing development, you MUST start the dev server via edgeone makers dev, then open http://127.0.0.1:8088/ with present_files to preview. Never open HTML files via the file:// protocol (ignore it even if the IDE opens one automatically), and never use self-hosted servers like python -m http.server or npx serve. Next.js projects must also set allowedDevOrigins: ["127.0.0.1"] in next.config. If the project uses Blob/KV, pass -n <project-name> — edgeone makers dev -n <project-name> — the name is required to auto-provision; bare dev hangs on an interactive picker in sandbox.

⚠️ .env.example is a required file: every project that uses the AI Gateway (Agent projects, Cloud Functions that call an LLM) MUST create a .env.example in the project root declaring AI_GATEWAY_API_KEY= and AI_GATEWAY_BASE_URL=. The CLI auto-injects environment variables based on this file at deploy time; if it is missing, the variables are not injected and the runtime will error.

📝 Write index.html last, always: writing an index.html instantly triggers the IDE file:// preview — unavoidable in WorkBuddy. Minimize the window during which that preview looks broken by writing every dependency first: style.css, script.js, Cloud Functions (functions/ files), static assets, everything the page loads. Then write index.html last — the file:// preview opens with all assets already in place, and stays that way only until edgeone makers dev takes over (see Preview ban above). Also write each index.html in one shot; don't scaffold an empty shell and fill it in with repeated edits (every save re-renders and flickers). For a tiny single-page tool, just inline the CSS and JS into one index.html.

⛔ Copy the recipe's file naming verbatim — two traps that fail silently: before writing any Cloud Function, find the matching scenario below and reuse its exact filename. Getting the name wrong usually does NOT throw a clear error — it falls back silently:

  1. Every function file MUST carry its language extension — .js (Node), .py (Python), .go (Go). A file with no extension (e.g. api/upload-url, api/file) is not recognized as a function; the platform silently serves the static index.html fallback, so /api/* "mysteriously" returns HTML instead of JSON. Name them api/upload-url.js, api/file.js.
  2. [[default]].js is the catch-all for its own directory (api/[[default]].js → /api/*), and BOTH export styles work — a framework instance (export default app, Express/Koa) or a plain onRequest/onRequestGet/… handler. Verified locally with edgeone makers dev: a bare onRequest in [[default]].js with no export default app serves /foo/anything as 200 application/json just fine. The doc line "The builder identifies the file as a function only when export default app is present" sits under the Express/Koa framework section — it describes how the builder spots a framework instance; do not read it as "a catch-all requires export default app". ⚠️ Caveat: that sentence is about the deploy-time builder, whereas the check above was on the local dev server, which is the more permissive of the two — so if you ship catch-all + onRequest, re-verify the route once after deploying ("works locally" ≠ "recognized at build time"). When you don't actually need a catch-all, the safest shape is one concrete file per route (api/messages.js, api/artworks/[id]/like.js), params via [id] folders/files, extra args as query strings (/api/file?key=...).

Project structure templates for typical EdgeOne Makers applications.

Full-stack app — Node.js (static + API)

my-app/
├── index.html              # Frontend
├── style.css
├── script.js
├── cloud-functions/
│   └── api/
│       ├── users.js        # GET/POST /api/users
│       └── users/[id].js   # GET/PUT/DELETE /api/users/:id
└── package.json

Frontend calls API:

const res = await fetch('/api/users');
const users = await res.json();

💾 Where does the data live? This platform has no database. The API skeletons above return empty data — to actually persist records, uploads, votes, or per-user state, back them with Blob. See the recipe below and makers-storage → Blob as your backend.

Dynamic site with Blob persistence (guestbook / gallery / voting / save-state)

The default shape for any generated site that needs a real backend but no relational data. Frontend → Cloud Function → Blob. No DB, no console setup.

my-app/
├── index.html              # Frontend (form + list)
├── script.js
├── cloud-functions/
│   └── api/
│       └── messages.js     # GET lists entries, POST appends one
├── package.json            # depends on @edgeone/pages-blob

cloud-functions/api/messages.js — one file per record (Pattern 1):

import { getStore } from "@edgeone/pages-blob";

export async function onRequest({ request }) {
  const store = getStore("guestbook");

  if (request.method === "POST") {
    const { name, text } = await request.json();
    const id = `${Date.now()}-${Math.round(Math.random() * 1e6)}`;
    await store.setJSON(`entries/${id}.json`, { id, name, text, ts: Date.now() });
    return Response.json({ ok: true, id });
  }

  const { blobs } = await store.list({ prefix: "entries/" });
  const items = await Promise.all(blobs.map((b) => store.get(b.key, { type: "json" })));
  items.sort((a, b) => b.ts - a.ts);
  return Response.json({ items });
}

index.html frontend calls it like any API:

await fetch('/api/messages', {                     // post
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({ name, text }),
});
const { items } = await fetch('/api/messages').then((r) => r.json());  // list

Swap the key scheme for other shapes: users/<uid>.json for save-state, counts/<option>.json (strong consistency) for votes, uploads/<id>.jpg + items/<id>.json for file uploads. Full patterns: makers-storage → Blob as your backend.

Full-stack app — Go (Gin framework)

my-app/
├── index.html              # Frontend
├── style.css
├── script.js
├── cloud-functions/
│   └── api.go              # Gin app — all /api/* routes
├── go.mod
└── package.json

cloud-functions/api.go:

package main

import (
    "net/http"
    "github.com/gin-gonic/gin"
)

func main() {
    r := gin.Default()
    r.GET("/users", listUsersHandler)
    r.POST("/users", createUserHandler)
    r.GET("/users/:id", getUserHandler)
    r.Run(":9000")
}

Full-stack app — Python (Flask)

my-app/
├── index.html              # Frontend
├── style.css
├── script.js
├── cloud-functions/
│   └── api/
│       └── index.py        # Flask app — all /api/* routes
├── cloud-functions/requirements.txt
└── package.json

cloud-functions/api/index.py:

from flask import Flask, jsonify, request

app = Flask(__name__)

@app.route('/users', methods=['GET'])
def get_users():
    return jsonify({'users': []})

@app.route('/users', methods=['POST'])
def create_user():
    data = request.get_json()
    return jsonify({'message': 'Created', 'user': data}), 201

Full-stack app — Python (FastAPI)

my-app/
├── index.html
├── cloud-functions/
│   └── api/
│       └── index.py        # FastAPI app — all /api/* routes
├── cloud-functions/requirements.txt
└── package.json

cloud-functions/api/index.py:

from fastapi import FastAPI

app = FastAPI()

@app.get('/items')
async def list_items():
    return {'items': []}

@app.get('/items/{item_id}')
async def get_item(item_id: int):
    return {'item_id': item_id}

Full-stack app — Go (Handler mode)

my-app/
├── index.html
├── cloud-functions/
│   └── api/
│       ├── users/
│       │   ├── list.go     # GET /api/users/list
│       │   └── [id].go     # GET /api/users/:id
│       └── hello.go        # GET /api/hello
├── go.mod
└── package.json

Edge API + KV counter

⚠️ Prerequisites: You must enable KV Storage in the console and bind a namespace first. See ../makers-storage/references/kv.md

my-app/
├── index.html
├── edge-functions/
│   └── api/
│       └── visit.js        # Edge function with KV
└── package.json

edge-functions/api/visit.js:

export async function onRequest() {
  // ⚠️ my_kv is a global variable (name set when binding namespace in console)
  let count = await my_kv.get('visits') || '0';
  count = String(Number(count) + 1);
  await my_kv.put('visits', count);
  
  return new Response(JSON.stringify({ visits: count }), {
    headers: { 'Content-Type': 'application/json' },
  });
}

Setup steps:

  1. Log in to the EdgeOne Makers console
  2. Go to "KV Storage" → click "Apply Now"
  3. Create a namespace (e.g. my-kv-store)
  4. Bind to project, set variable name to my_kv
  5. Deploy or run edgeone makers dev to test

Express full-stack

my-app/
├── index.html
├── cloud-functions/
│   └── api/
│       └── [[default]].js  # Express app handles all /api/*
└── package.json

Middleware + API combo

my-app/
├── middleware.js            # Auth guard for /api/*
├── cloud-functions/
│   └── api/
│       ├── public.js       # No auth needed (matcher excludes it)
│       └── data.js         # Protected by middleware
└── package.json

Multi-language Cloud Functions

You can use different languages in the same cloud-functions/ directory:

my-app/
├── index.html
├── cloud-functions/
│   ├── api/
│   │   ├── users.js        # Node.js — /api/users
│   │   └── hello.py        # Python — /api/hello
│   └── service.go          # Go — /service
├── go.mod
├── cloud-functions/requirements.txt
└── package.json

Note: Each file is built and deployed as an independent function with its own runtime. The platform detects the language by file extension.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

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