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K2

OrganizationPopular
cloudflare
k2

Build and troubleshoot Cloudflare K2 or K2 Streams durable logs. Use for stream setup, producing from Workers or HTTP, configuring retention and inputs, and consuming through subscriptions.

Overview

Publishercloudflare
Repositoryskills
Skill namek2
Stars
3K
Forks
308
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the K2 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.
    https://github.com/cloudflare/skills/tree/main/skills/k2
  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/k2 .claude/skills/k2
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable K2 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 K2 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 K2 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 K2

K2 is a durable log for decoupling event producers and consumers. Start with the K2 overview, then retrieve the relevant current documentation before giving setup instructions, code, limits, availability, permissions, or API details. The docs are the source of truth over this skill. While cloudflare-docs PR #33858 remains open, use its proposed pages if the public URLs have not been published.

Documentation

TaskDocsCheck for
Create a stream and try K2Get startedPrerequisites, setup sequence, current API examples
Understand streams and subscriptionsConceptsRecord model and delivery behavior
Configure a streamConfigurationInputs, authentication, CORS, retention
Produce from HTTP or a WorkerProduce recordsRequest and binding syntax, encoding, errors, retries
Consume through subscriptionsConsume recordsLeases, acknowledgements, retries, errors
Size a stream or consumerLimitsCurrent quotas and size limits

Retrieve the matching pages above for each task and use their current examples. For capacity or cost questions, check current limits and any published pricing before quoting values. State when a requested pricing or availability detail is not yet published.

For SQL transformation and delivery to R2 Iceberg tables, use the basin skill. For task processing, consult Queues.

Frequently asked questions

What does the K2 AI skill do?

Build and troubleshoot Cloudflare K2 or K2 Streams durable logs. Use for stream setup, producing from Workers or HTTP, configuring retention and inputs, and consuming through subscriptions.

Why use K2 on TypingMind?

Because you install it once and use it with any model. K2 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 K2 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cloudflare/skills/tree/main/skills/k2. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use K2?

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 K2?

As many as you like. As long as a model supports skills, you can use K2 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the K2 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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