Openclaw Carapace logo

Openclaw Carapace

OrganizationPopular
openclaw
openclaw-carapace

Build or modify OpenClaw application UI using canonical semantic tokens, themes, shared CSS foundations, consumer adapters, and established local primitives. Use for product interfaces, component styling, theme work, or design-token integration.

Overview

Publisheropenclaw
Repositoryclawhub
Skill nameopenclaw-carapace
Stars
9.5K
Forks
1.5K
Bundled files
5
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.

  • 5 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 Openclaw Carapace 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/clawhub/tree/main/.agents/skills/openclaw-carapace
  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/clawhub.git /tmp/clawhub
mkdir -p .claude/skills
cp -r /tmp/clawhub/.agents/skills/openclaw-carapace .claude/skills/openclaw-carapace
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openclaw Carapace 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 Openclaw Carapace 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 Openclaw Carapace 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.

Carapace

Use the shared package for foundations and framework-neutral visual primitives. Keep consumer-specific behavior, data, routes, and layout composition local.

Workflow

  1. Read tokens.md before choosing colors, spacing, type, radii, or shadows.
  2. Read consumer-adapters.md for the current framework.
  3. Read application-surfaces.md when working on shells, panes, settings, or operational screens.
  4. Read terminal-ui.md when designing or auditing a terminal interface.
  5. Read embedded-surfaces.md when the surface renders inside a host frame, such as an MCP app.
  6. Inspect the consumer's existing shared primitives before creating a component.
  7. Use semantic tokens for UI intent; use palette primitives only for documented exceptions.
  8. Keep application behavior, routes, and information architecture unchanged unless the task says otherwise.
  9. Validate the affected routes with existing tests and real browser screenshots.

Interface Rules

  • Import the complete CSS contract or its focused exported entry points.
  • Compose shared classes from components.css before adding a one-off visual implementation.
  • Use local shared primitives before raw controls or one-off component implementations.
  • Keep one primary action per decision area.
  • Use familiar icons for icon-only commands and provide accessible names.
  • Use status colors for status, warning, success, error, and informational meaning.
  • Keep cards, controls, and repeated fixed-format elements dimensionally stable.
  • Avoid nested decorative cards and page sections styled as floating cards.
  • Keep surfaces, controls, and insets square through their semantic radius tokens.
  • Reserve round geometry for avatars, status dots, and other truly circular indicators.
  • Keep focus, hover, active, disabled, loading, and invalid states coherent.
  • Keep text within its container at supported viewport sizes.
  • Prefer dense, scan-friendly composition for operational product surfaces.
  • Share application anatomy across consumers without forcing web and native implementations into pixel-identical layouts.

Ownership

Move visual implementation into this repository when its interface is framework-neutral and useful across consumers. Keep runtime behavior and framework adapters local until at least two consumers need the same interface and behavior.

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 Openclaw Carapace AI skill do?

Build or modify OpenClaw application UI using canonical semantic tokens, themes, shared CSS foundations, consumer adapters, and established local primitives. Use for product interfaces, component styling, theme work, or design-token integration.

Why use Openclaw Carapace on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/clawhub/tree/main/.agents/skills/openclaw-carapace. 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 Openclaw Carapace?

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 Openclaw Carapace?

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

Is the Openclaw Carapace AI skill free?

Yes. It is published on GitHub by openclaw 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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