Cloudflare Workers

OrganizationPopular

EpicenterHQ

cloudflare-workers

Cloudflare Workers patterns for Worker runtime APIs, Durable Objects, KV, R2, D1, Queues, WebSockets, streaming responses, bindings, wrangler configuration, and deployment limits. Use when users mention Cloudflare Workers, Durable Objects, KV, R2, D1, Queues, wrangler, or edge runtime behavior.

Overview

Publisher	EpicenterHQ
Repository	`epicenter`
Skill name	`cloudflare-workers`
Stars	4.8K
Forks	386
Bundled files	Instructions only
Links	Skill source Repository Homepage

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 EpicenterHQ on GitHub. Read the source before you install it.

Installation

Install the Cloudflare Workers AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/EpicenterHQ/epicenter/tree/main/.agents/skills/cloudflare-workers
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.

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/EpicenterHQ/epicenter.git /tmp/epicenter
mkdir -p .claude/skills
cp -r /tmp/epicenter/.agents/skills/cloudflare-workers .claude/skills/cloudflare-workers

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloudflare Workers 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 Workers 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 Workers 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 Workers

Reference Repositories

Cloudflare Docs - Workers, Durable Objects, KV, R2, D1, Queues, WebSockets, bindings, and deployment docs
Hono - TypeScript web framework commonly used on Workers

Upstream Grounding

When Worker runtime behavior, bindings, Durable Objects, WebSockets, streaming, cache APIs, service bindings, compatibility dates, limits, or wrangler configuration affect correctness, ask DeepWiki a narrow question against cloudflare/cloudflare-docs before relying on memory. Use honojs/hono as the grounding repo when the question is about Hono on Workers.

Verify decisive details against local generated Worker types, source, or official Cloudflare docs before changing code. Skip DeepWiki for stable Web API basics and repo-local deployment patterns already visible in the code.

Request Lifecycle Rules

Every async side effect must be awaited, returned, or passed to c.executionCtx.waitUntil(...). Floating promises are unsafe because the isolate can stop after the response.
Call waitUntil as a method on c.executionCtx. Do not destructure it.
Keep waitUntil work bounded and best-effort. Use Queues for guaranteed or long-running work.
For Hyperdrive plus pg, create a fresh pg.Client per request and close it after all queued work that uses the client settles. Hyperdrive is the pool.
Node-style database drivers require nodejs_compat in Worker configuration.
Skip generic response-header middleware, including CORS, for WebSocket upgrade requests. The 101 response headers are immutable.
Put stateful or long-lived WebSockets in Durable Objects. Prefer hibernation-aware APIs when the object owns many idle sockets.
Trust generated Worker binding types such as Cloudflare.Env; regenerate them when bindings or wrangler config change.

Frequently asked questions

What does the Cloudflare Workers AI skill do?

Why use Cloudflare Workers on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/EpicenterHQ/epicenter/tree/main/.agents/skills/cloudflare-workers. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cloudflare Workers?

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 Workers?

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

Is the Cloudflare Workers AI skill free?

It is published on GitHub by EpicenterHQ. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Cloudflare Workers

Reference Repositories

Upstream Grounding

Request Lifecycle Rules

Frequently asked questions

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