Edgeone Pages Website Skeleton

What it does

When your agent uses it

• Tasks that involve Serverless
• Tasks that involve E-commerce operations
• Tasks that involve Authentication

Example prompts

• “帮我建一个电商网站”
• “帮我建一个AI客服站”
• “做个带登录的电商站”
• “/edgeone-pages-website-skeleton”

Requirements

• Node.js
• A credential in JWT_SECRET

Workflow steps

11 steps, taken from the step headings in SKILL.md.

1. 1Confirm scenario
2. 2Collect requirements
3. 3Generate project structure
4. 4Environment variables
5. 5Local verification
6. 6Deploy to EdgeOne Pages
7. 7部署确认机制
8. 8支付安全
9. 9数据保留策略
10. 10Cron 定时任务
11. 11使用建议

What it can do on your machine

Read from SKILL.md and the folder at commit e3f25bd. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • npm

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • geek-mall-demo-4qaxvmeh.edgeone.cool
  • github.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • JWT_SECRET

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Edgeone Pages Website Skeleton loads about 2.2k tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 155 tokens; SKILL.md has 655 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~155

When it runs · the whole SKILL.md, loaded when a task matches

~2.2k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~6.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NoteMentions a .env fileSKILL.md:47

  5. **Never commit `.env.local` or any real API keys.** Ensure `.gitignore` covers it.

• NoteMentions a .env fileSKILL.md:144

  3. Remind: **never commit `.env.local`**

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from TencentEdgeOne/awesome-website-prompts-and-skills at commit e3f25bd, republished under its MIT licence (© TencentEdgeOne). 655 words, ~2,153 tokens.

name

edgeone-pages-website-skeleton

description

基于 EdgeOne Pages 的全栈网站生成方案。用户说一句话（如「帮我建一个电商站」「做一个AI客服站」「做个管理后台」），AI 自动组合 Auth、Cart、Payment、AI Chat、Admin 五大模块，生成完整 Next.js 前后端代码并部署到 EdgeOne Pages 全球 CDN。支持电商、AI 助手、SaaS 管理后台三大模板。底层使用 Edge Functions（KV 存储、JWT 校验）+ Cloud Functions（bcrypt、MySQL、微信/支付宝支付、SSE 流式 AI）+ Platform Middleware（鉴权、CORS、CSP、支付回调 IP 白名单）。支持支付幂等原子锁、订单超卖防护、Refresh Token 并发安全等 P0 安全设计。 触发场景： "帮我建一个电商网站"、"帮我建一个AI客服站"、"做个带登录的电商站"、"建一个全栈网站"、 "帮我做一个带支付功能的网站"、"做一个电商站，包含登录注册、购物车、微信支付宝支付"、 "Build me an e-commerce website"、"Create an AI customer service site with login"、 "Make a SaaS admin dashboard"、"建一个网站，登录注册、AI客服、支付全要"

metadata.author

liuboacean

metadata.version

2.1.0

metadata.demo

https://geek-mall-demo-4qaxvmeh.edgeone.cool

{
  "scenario": "e-commerce | ai-assistant | saas-admin | custom",
  "siteName": "...",
  "modules": ["auth", "cart", "payment", "ai-chat", "admin"],
  "paymentProviders": ["wx", "ali"],
  "aiProvider": "openai | hunyuan | none",
  "envVars": ["JWT_SECRET", "DATABASE_URL", ...]
}

<project>/
├── client/                     # Next.js frontend (SPA)
│   ├── app/ (pages: login, register, cart, checkout, orders, admin/*)
│   ├── lib/ (api client, auth service, cart service, SSE client)
│   └── middleware (optional, for pure SPA)
├── edge-functions/            # Edge Functions (V8 + KV)
│   ├── _middleware.js         # JWT check + KV session + rate limit
│   └── api/
│       ├── auth/login.js     # JWT issue + KV session
│       ├── auth/me.js        # KV session read
│       ├── auth/refresh.js   # RT rotation with KV version lock
│       ├── auth/logout.js
│       ├── internal/idempotency.js  # Edge atomic idempotency lock ← P0
│       ├── products/list.js  # KV cache + MySQL fallback
│       ├── cart/*.js         # KV cart
│       ├── orders/list.js    # MySQL read
│       └── ai/history.js     # KV AI session history
├── cloud-functions/          # Cloud Functions (Node.js + MySQL)
│   ├── api/
│   │   ├── auth/register.js  # bcrypt cost=12 ← P0
│   │   ├── pay/create-order.js
│   │   ├── pay/wx-notify.js  # Edge idempotency lock ← P0
│   │   ├── pay/ali-notify.js
│   │   ├── order/create.js   # SELECT FOR UPDATE ← P0
│   │   ├── order/cancel.js
│   │   ├── admin/products.js
│   │   └── ai/chat-stream.js  # SSE streaming ← AI module
│   └── utils/
│       ├── db.js             # MySQL pool (mysql2/promise)
│       └── payment-sdk.js    # WeChat V3 / Alipay SDK
├── db/
│   ├── migrations/001_init.sql  # users, products, orders, order_items
│   └── seed.sql
├── docs/
│   └── env-vars.md           # Environment variable matrix
└── references/
    └── auth-module.md / payment-module.md / ai-chat-module.md / kv-storage.md

npm run dev   # Next.js on http://localhost:3000

# Install CLI (first time)
npm install -g edgeone@latest

# Login
edgeone login --site china

# Deploy
cd <project>
edgeone pages deploy -n <project-name>

© TencentEdgeOne, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/website-skeleton-skill/skills/edgeone-pages-website-skeleton of TencentEdgeOne/awesome-website-prompts-and-skills.

• SKILL.md
• references/ai-chat-module.md
• references/auth-module.md
• references/kv-storage.md
• references/payment-module.md
• references/templates.md

Open the folder on GitHubat commit e3f25bd