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Workers Best Practices

OrganizationPopular
cloudflare
workers-best-practices

Cloudflare Workers best practices for production applications. Use when writing, reviewing, or configuring Workers.

Overview

Publishercloudflare
Repositoryskills
Skill nameworkers-best-practices
Stars
2.8K
Forks
277
Bundled files
3
LicenseApache-2.0
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Workers Best Practices 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/cloudflare/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/workers-best-practices .claude/skills/workers-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Workers Best Practices 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 Workers Best Practices 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 Workers Best Practices 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.

Your knowledge of Cloudflare Workers APIs, types, and configuration may be outdated. Prefer retrieval over pre-training when writing or reviewing Workers code.

Use the project's installed versions, generated types, and Wrangler compatibility settings as the baseline for existing code. Retrieve relevant Cloudflare documentation to verify API, configuration, runtime behavior, and limit claims.

References

Read the sections relevant to the task:

ReferenceWhen to use it
Configuration and observabilityCompatibility dates, bindings, generated types, secrets, logs, and traces
Runtime patternsStreaming, promise lifetime, request state, service calls, security, and runtime tests
Platform API checksHandler signatures, platform classes, binding access, and serialization

For missing evidence, consult Workers best practices or find the affected product in the Cloudflare docs directory. Use the installed Wrangler schema for config fields. A newer type package does not supersede the project's configured target.

Keep Compatibility Dates Current

Use today's date for new Workers. Encourage periodic updates for existing Workers, reviewing compatibility changes and running relevant tests. Assess existing behavior against its configured date and flags; see compatibility guidance.

Enable Observability

Enable Workers Logs and Traces when creating or preparing a Worker for production. Set observability.enabled and observability.traces.enabled to true; the top-level setting alone does not enable traces. Use structured JSON logging and configure sampling for the workload. During reviews, flag missing logs or traces. See the configuration example.

Anti-Patterns to Flag

Anti-patternConsequence and preferred pattern
await response.text() or similar buffering on unbounded dataCan exhaust Worker memory; stream large or unbounded bodies.
Hardcoded secrets in source or configLeaks credentials through version control; use Wrangler secrets.
Math.random() for security-sensitive tokens or IDsPredictable values; use crypto.randomUUID() or crypto.getRandomValues().
Async work started without awaiting, returning, or attaching it to ctx.waitUntil()Work can be dropped and errors missed; tie it to the request or background-work lifetime.
Module-level mutable request stateLeaks data across requests and can cause I/O ownership errors; pass request state explicitly.
Cloudflare REST API calls for operations available through Worker bindingsAdds network and authentication overhead; use the available binding.
ctx.passThroughOnException() used as general error handlingCan conceal Worker failures by forwarding to the origin; use explicit error handling and structured error responses.
Hand-written Env that duplicates Wrangler bindingsCan drift from configuration; generate binding types with wrangler types.
Direct string comparison of secret valuesCan expose timing differences; use the Web Crypto comparison pattern.
Destructuring ctx methods, such as const { waitUntil } = ctxLoses the receiver; call ctx.waitUntil(...).
any on Env or handler parametersHides binding and handler contract errors; use the project's generated and platform types.
as unknown as T to force a platform type matchHides incompatibilities; fix the underlying contract.
implements used in place of extending a platform base classDoes not inherit runtime behavior, this.ctx, or this.env; use the appropriate base class.
Unbound env.X in a platform class methodBindings are available through this.env.X; see binding access patterns.
Applying one serialization rule across Queues, Workflow steps, storage, and WebSocketsCan reject valid payloads or accept unsupported ones; check the specific API and encoding.

Validation

Use the project's existing checks for affected Workers behavior: type-check binding or handler contract changes, and run relevant runtime tests for behavior changes. Preserve required repository checks; a narrow edit does not require a full Workers audit.

Scope

This skill covers Workers-specific best practices and code review. For related topics:

  • Durable Objects: load the durable-objects skill
  • Workflows: see Rules of Workflows
  • Wrangler CLI commands: load the wrangler skill

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 Workers Best Practices AI skill do?

Cloudflare Workers best practices for production applications. Use when writing, reviewing, or configuring Workers.

Why use Workers Best Practices on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cloudflare/skills/tree/main/skills/workers-best-practices. 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 Workers Best Practices?

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 Workers Best Practices?

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

Is the Workers Best Practices AI skill free?

Yes. It is published on GitHub by cloudflare under the Apache-2.0 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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