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Cloudflare Worker Builder

CommunityPopular
jezweb
cloudflare-worker-builder

Scaffold and deploy Cloudflare Workers with Hono routing, Vite plugin, and Static Assets. Describe project, scaffold structure, configure bindings, deploy. Use whenever the user wants to create a Worker project, set up Hono on Cloudflare, configure D1 / R2 / KV / Queues bindings, or troubleshoot Worker export syntax, API route conflicts, HMR issues, or deployment failures.

Overview

Publisherjezweb
Repositoryclaude-skills
Skill namecloudflare-worker-builder
Stars
1K
Forks
102
Bundled files
11
LicenseMIT
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.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Cloudflare Worker Builder 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/jezweb/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/cloudflare/skills/cloudflare-worker-builder .claude/skills/cloudflare-worker-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloudflare Worker Builder 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 Cloudflare Worker Builder 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 Cloudflare Worker Builder 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.

Cloudflare Worker Builder

Scaffold a working Cloudflare Worker project from a brief description. Produces a deployable project with Hono routing, Vite dev server, and Static Assets.

Workflow

Step 1: Understand the Project

Ask about the project to choose the right bindings and structure:

  • What does the app do? (API only, SPA + API, landing page)
  • What data storage? (D1 database, R2 files, KV cache, none)
  • Auth needed? (Clerk, better-auth, none)
  • Custom domain or workers.dev subdomain?

A brief like "todo app with database" is enough to proceed.

Step 2: Scaffold the Project

bash
npm create cloudflare@latest my-worker -- --type hello-world --ts --git --deploy false --framework none
cd my-worker
npm install hono
npm install -D @cloudflare/vite-plugin vite

Copy and customise the asset files from this skill's assets/ directory:

  • wrangler.jsonc — Worker configuration
  • vite.config.ts — Vite + Cloudflare plugin
  • src/index.ts — Hono app with Static Assets fallback
  • package.json — Scripts and dependencies
  • tsconfig.json — TypeScript config
  • public/index.html — SPA entry point

Step 3: Configure Bindings

Add bindings to wrangler.jsonc based on project needs. Wrangler 4.45+ auto-provisions resources on first deploy — always specify explicit names:

jsonc
{
  "name": "my-worker",
  "main": "src/index.ts",
  "compatibility_date": "2025-11-11",
  "assets": {
    "directory": "./public/",
    "binding": "ASSETS",
    "not_found_handling": "single-page-application",
    "run_worker_first": ["/api/*"]
  },
  // Add as needed:
  "d1_databases": [{ "binding": "DB", "database_name": "my-app-db" }],
  "r2_buckets": [{ "binding": "STORAGE", "bucket_name": "my-app-files" }],
  "kv_namespaces": [{ "binding": "CACHE", "title": "my-app-cache" }]
}

Step 4: Deploy

bash
npm run dev           # Local dev at http://localhost:8787
wrangler deploy       # Production deploy

Critical Patterns

Export Syntax

typescript
// CORRECT — use this pattern
export default app

// WRONG — causes "Cannot read properties of undefined"
export default { fetch: app.fetch }

Source: honojs/hono #3955

Static Assets + API Routes

Without run_worker_first, SPA fallback intercepts API routes and returns index.html instead of JSON:

jsonc
"assets": {
  "not_found_handling": "single-page-application",
  "run_worker_first": ["/api/*"]  // CRITICAL
}

Source: workers-sdk #8879

Vite Config

typescript
import { defineConfig } from 'vite'
import { cloudflare } from '@cloudflare/vite-plugin'

export default defineConfig({ plugins: [cloudflare()] })

Always set the main field in wrangler.jsonc — the Vite plugin needs it.

Scheduled/Cron Handlers

When adding cron triggers, switch to explicit export:

typescript
export default {
  fetch: app.fetch,
  scheduled: async (event, env, ctx) => { /* ... */ }
}

Reference Files

Read these for detailed troubleshooting:

  • references/common-issues.md — 10 documented issues with sources and fixes
  • references/architecture.md — Route priority, caching, Workers RPC
  • references/deployment.md — CI/CD, auto-provisioning, gradual rollouts

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cloudflare Worker Builder AI skill do?

Scaffold and deploy Cloudflare Workers with Hono routing, Vite plugin, and Static Assets. Describe project, scaffold structure, configure bindings, deploy. Use whenever the user wants to create a Worker project, set up Hono on Cloudflare, configure D1 / R2 / KV / Queues bindings, or troubleshoot Worker export syntax, API route conflicts, HMR issues, or deployment failures.

Why use Cloudflare Worker Builder on TypingMind?

Because you install it once and use it with any model. Cloudflare Worker Builder 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 Cloudflare Worker Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jezweb/claude-skills/tree/main/plugins/cloudflare/skills/cloudflare-worker-builder. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cloudflare Worker Builder?

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 Cloudflare Worker Builder?

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

Is the Cloudflare Worker Builder AI skill free?

Yes. It is published on GitHub by jezweb under the MIT license. 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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