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Edgeone Makers Edge Functions

OrganizationPopular
TencentEdgeOne
edgeone-makers-edge-functions

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

Overview

PublisherTencentEdgeOne
Repositoryedgeone-makers-tools
Skill nameedgeone-makers-edge-functions
Stars
1.9K
Forks
152
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by TencentEdgeOne on GitHub. Read the source before you install it.

Installation

Install the Edgeone Makers Edge Functions AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TencentEdgeOne/edgeone-makers-tools.git /tmp/edgeone-makers-tools
mkdir -p .claude/skills
cp -r /tmp/edgeone-makers-tools/skills/edgeone-makers-tools/references/makers-edge-functions .claude/skills/edgeone-makers-edge-functions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Edgeone Makers Edge Functions in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Edgeone Makers Edge Functions on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Edgeone Makers Edge Functions is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Edge Functions

V8-based lightweight functions running at the edge. Ideal for simple APIs, KV storage access, and ultra-low latency responses.

Runtime: V8 (like Cloudflare Workers) — NOT Node.js. Do NOT use Node.js built-ins or npm packages.

⚠️ Response.json() is NOT available in this V8 runtime. Always use new Response(JSON.stringify(data), { headers: { 'Content-Type': 'application/json' } }) instead.

Basic function

File: edge-functions/api/hello.js

javascript
export default function onRequest(context) {
  return new Response('Hello from Edge Functions!');
}

Access: GET /api/hello

HTTP method handlers

javascript
// edge-functions/api/users.js

// Handle all methods
export function onRequest(context) {
  return new Response('Any method');
}

// Or use specific method handlers:
export function onRequestGet(context) {
  return new Response(JSON.stringify({ users: [] }), {
    headers: { 'Content-Type': 'application/json' },
  });
}

export async function onRequestPost(context) {
  const body = await context.request.json();
  return new Response(JSON.stringify({ created: true }), {
    status: 201,
    headers: { 'Content-Type': 'application/json' },
  });
}

EventContext object

javascript
export function onRequest(context) {
  const {
    request,    // Standard Request object
    params,     // Dynamic route params, e.g. { id: "123" }
    env,        // Environment variables from Makers console
    waitUntil,  // Extend function lifetime for async tasks
  } = context;

  // GEO info available via:
  const geo = context.request.eo;
  // geo.geo.countryName, geo.geo.cityName, geo.geo.latitude, etc.

  return new Response('OK');
}

Dynamic routes

javascript
// edge-functions/api/users/[id].js
// Matches: /api/users/123, /api/users/abc

export function onRequestGet(context) {
  const userId = context.params.id;
  return new Response(JSON.stringify({ userId }), {
    headers: { 'Content-Type': 'application/json' },
  });
}
javascript
// edge-functions/api/[[default]].js
// Catches all unmatched routes under /api/

export function onRequest(context) {
  return new Response('Catch-all route', { status: 404 });
}

KV Storage (Edge Functions only)

Cross-reference: if your code uses context.store or KV APIs, also read ../makers-storage/SKILL.md.

⚠️ Prerequisites: You must enable KV Storage in the EdgeOne Makers console, create a namespace, and bind it to your project before using KV. See ../makers-storage/references/kv.md for full setup instructions.

The KV namespace is a global variable (name is set when binding in the console) — it is NOT on context.env.

javascript
// edge-functions/api/counter.js

export async function onRequest(context) {
  // ⚠️ my_kv is a GLOBAL variable (name set when binding namespace in console)
  // Do NOT use context.env.KV ❌
  
  // Read
  const count = await my_kv.get('page_views') || '0';
  const newCount = parseInt(count) + 1;

  // Write
  await my_kv.put('page_views', String(newCount));

  return new Response(JSON.stringify({ views: newCount }), {
    headers: { 'Content-Type': 'application/json' },
  });
}

For full KV Storage API reference and usage guide, see: ../makers-storage/references/kv.md.

Supported Runtime APIs

Edge Functions run on V8 and support these Web Standard APIs:

  • Fetch APIfetch() for outbound HTTP requests
  • Cache APIcaches.open(), cache.match(), cache.put()
  • Headers / Request / Response — standard Web API objects
  • StreamsReadableStream, WritableStream, TransformStream
  • Web Cryptocrypto.subtle for encryption/signing
  • EncodingTextEncoder, TextDecoder
  • URL / URLSearchParams — URL parsing

⚠️ NOT available: Node.js built-ins (fs, path, http, crypto from Node), require(), npm packages.

Limits

ResourceLimit
Code package size5 MB
Request body1 MB
CPU time per invocation200 ms
LanguageJavaScript (ES2023+) only

Frequently asked questions

What does the Edgeone Makers Edge Functions AI skill do?

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

Why use Edgeone Makers Edge Functions on TypingMind?

Because you install it once and use it with any model. Edgeone Makers Edge Functions is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Edgeone Makers Edge Functions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TencentEdgeOne/edgeone-makers-tools/tree/main/skills/edgeone-makers-tools/references/makers-edge-functions. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Edgeone Makers Edge Functions?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Edgeone Makers Edge Functions?

As many as you like. As long as a model supports skills, you can use Edgeone Makers Edge Functions with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Edgeone Makers Edge Functions AI skill free?

It is published on GitHub by TencentEdgeOne. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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