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Block Kit

OrganizationPopular
openclaw
block-kit

Use proactively for structured or interactive Slack replies, and when asked to author or validate native Slack Block Kit JSON.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill nameblock-kit
Stars
391K
Forks
82.2K
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Block Kit 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/openclaw/openclaw/tree/main/extensions/slack/skills/block-kit
  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/openclaw/openclaw.git /tmp/openclaw
mkdir -p .claude/skills
cp -r /tmp/openclaw/extensions/slack/skills/block-kit .claude/skills/block-kit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Block Kit 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 Block Kit 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 Block Kit 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.

Slack Block Kit

Make useful Slack replies feel native. When structure or one-click follow-up improves the outcome, send a rich message without waiting for the user to ask for Block Kit.

Choose the surface

Use a presentation when the reply has at least one of these shapes:

  • a decision, confirmation, or next action that belongs on buttons or a select
  • a status, comparison, report, or plan that scans better as titled sections, a table, or a chart
  • important context that should be visually separated from the primary result

Use plain text for short answers and casual conversation where structure adds no value.

Send the result

For a reply in Slack, call the message tool with action: "send" and a portable presentation. The Slack plugin renders it as native Block Kit. Use the exact schema exposed by the current tool; supported block types can include text, context, divider, buttons, select, chart, and table.

  • Put the outcome first. Keep titles, labels, and context concise.
  • Give interactive controls real follow-up semantics. Use typed callback actions for conversational choices and url for an external destination. Do not use generic command actions for Slack controls; Slack renders them as text fallback rather than clickable controls.
  • Include a useful message fallback that preserves the meaning without the rich layout.
  • After the visible send succeeds, do not repeat the same content in the final response.

A control is complete only when its value is self-contained enough for the next agent turn to understand and act on. When an interaction returns, acknowledge the choice visibly and continue the requested workflow.

Native Block Kit authoring

When the user is building a Slack app or explicitly requests raw Block Kit JSON, read the adapted official Block Kit guide in full. For common message, modal, and App Home layouts, also read the official patterns.

Follow the adapted guide's live-documentation and blocks.validate workflow for native JSON. Do not pass native Slack blocks to OpenClaw's presentation field; the plugin owns that conversion.

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 Block Kit AI skill do?

Use proactively for structured or interactive Slack replies, and when asked to author or validate native Slack Block Kit JSON.

Why use Block Kit on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/openclaw/tree/main/extensions/slack/skills/block-kit. 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 Block Kit?

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 Block Kit?

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

Is the Block Kit AI skill free?

It is published on GitHub by openclaw. 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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