Doop Design

CommunityPopular

kgoedecke

doop-design

Create, inspect, and refine HTML designs on a shared Doop canvas. Use when the user asks to work in Doop, provides a Doop canvas URL, or asks to implement a design from a Doop canvas in their codebase.

Overview

Publisher	kgoedecke
Repository	`doop`
Skill name	`doop-design`
Stars	1K
Forks	133
Bundled files	Instructions only
License	AGPL-3.0
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 kgoedecke on GitHub. Read the source before you install it.

Installation

Install the Doop Design 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/kgoedecke/doop/tree/main/cursor-plugin/skills/doop-design
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/kgoedecke/doop.git /tmp/doop
mkdir -p .claude/skills
cp -r /tmp/doop/cursor-plugin/skills/doop-design .claude/skills/doop-design

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

Use it in TypingMind

Enable Doop Design 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 Doop Design 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 Doop Design 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.

Doop design

Use the connected doop MCP server for Doop work. The server provides the current tool schemas and design guidance; do not substitute local HTML files for edits the user requested on a shared canvas.

Call get_guide({ topic: "doop-instructions" }) before other Doop tools and follow the returned workflow. Reload it if the conversation has lost that context.
Use the canvas ID from the user's /c/<id> URL or explicit canvas ID. If they have not identified a canvas, use the available discovery tools and ask them to choose when the target is ambiguous. Do not guess or create a replacement canvas for an existing design.
Pick one agent_name and keep it consistent. Read the canvas with get_canvas, then fetch its relevant guidelines and references before designing. Announce progress with set_status as described by the server.
Make the requested changes through the available Doop tools. Inspect the rendered result with get_frame_screenshot, correct visual issues, and respond to feedback from people on the canvas. Clear your status when finished.
When the user asks to implement a Doop design in their codebase, inspect the source frame and its screenshot first, then follow the repository's conventions. Modify the shared canvas only when the user requests design changes.
Finish with a link to the canvas and a brief description of the work completed.

If Doop tools are missing or authentication fails, ask the user to enable the Doop MCP server in Cursor's Customize panel and complete its browser sign-in. Do not request tokens in chat. This plugin connects to https://doop.design/mcp; local and self-hosted Doop instances use their own server connection.

Frequently asked questions

What does the Doop Design AI skill do?

Why use Doop Design on TypingMind?

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

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

Which AI models can use Doop Design?

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 Doop Design?

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

Is the Doop Design AI skill free?

Yes. It is published on GitHub by kgoedecke under the AGPL-3.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Doop design

Frequently asked questions

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