Design Lab

Community

podo

design-lab

Interactive design exploration environment: conducts design interviews, generates multiple UI variants in a temporary design lab, collects feedback, and refines the design until the direction is confirmed.

Overview

Publisher	podo
Repository	`design-agent-skills`
Skill name	`design-lab`
Stars	27
Forks	3
Bundled files	1
License	MIT
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by podo on GitHub. Read the source before you install it.

Installation

Install the Design Lab 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/podo/design-agent-skills/tree/main/skills/design-lab
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/podo/design-agent-skills.git /tmp/design-agent-skills
mkdir -p .claude/skills
cp -r /tmp/design-agent-skills/skills/design-lab .claude/skills/design-lab

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

Use it in TypingMind

Enable Design Lab 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 Design Lab 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 Design Lab 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.

design-lab

Catalogue stub — full skill: 0xdesign/design-plugin

Decision tree

Is the full skill already installed?
- Global: f=~/.agents/skills/design-lab/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
- Project: f=.agents/skills/design-lab/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
- installed → the skill is installed as design-lab, invoke it and proceed
- pointer → go to step 2

Detect scope, then install:

bash
[ -e ~/.agents/skills/design-lab ] && echo "global" || echo "project"

Global:

bash
npx skills add 0xdesign/design-plugin --skill design-lab -g -y

Project:

bash
npx skills add 0xdesign/design-plugin --skill design-lab -y

Claude Code: send a command as a chat message starting with ! to run it without leaving the conversation.

Claude Code plugin route:


/plugin marketplace add 0xdesign/design-plugin
/plugin install design-and-refine@design-plugins

Heads-up

Requires: A web project with a running dev server (the variations are previewed in the browser)
License: no LICENSE file in the upstream repo

Invoke after install

Skill name: design-lab
Trigger phrases: "design lab", "design exploration", "design variants", "iterative design"
Plugin route only: the /design-and-refine:start command (optionally with a component name)

What it does

Runs an interactive design exploration session in the user's own codebase. It first conducts a brief design interview and infers the existing design system, then generates several distinct UI variations as real working components in a temporary design-lab route. You compare them side by side in the browser, leave element-level feedback through an overlay, and the skill synthesizes a refined version, repeating until a direction is confirmed. It ends with an implementation plan and removes its temporary files.

The skill's text relies on a FeedbackOverlay template that lives outside the skill directory, in the plugin's templates folder. The npx install copies only the skill, so the agent recreates the overlay from the skill's description; for the complete, upstream-intended setup use the Claude Code plugin route above.

When NOT to use

A single design pass with no comparison loop → use design-consultation or plan-design-review
Polishing or cleaning up an existing interface → use baseline-ui
Generating and iterating visuals outside a codebase → use design-catalogue to pick a design-generation skill

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

stub.yaml1 KB

Frequently asked questions

What does the Design Lab AI skill do?

Why use Design Lab on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/podo/design-agent-skills/tree/main/skills/design-lab. 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 Design Lab?

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 Design Lab?

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

Is the Design Lab AI skill free?

Yes. It is published on GitHub by podo 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

design-lab

Decision tree

Invoke after install

What it does

When NOT to use

Bundled files

Frequently asked questions

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