Component Catalog

Organization

memi-design

component-catalog

Decide which interface components to reuse, extend, or add from observed product patterns and the existing codebase. Use for component-library coverage or design-to-code planning.

Overview

Publisher	memi-design
Repository	`design-skills`
Skill name	`component-catalog`
Stars	7
Forks	0
Bundled files	2
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.
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 memi-design on GitHub. Read the source before you install it.

Installation

Install the Component Catalog 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/memi-design/design-skills/tree/main/skills/component-catalog
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/memi-design/design-skills.git /tmp/design-skills
mkdir -p .claude/skills
cp -r /tmp/design-skills/skills/component-catalog .claude/skills/component-catalog

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

Use it in TypingMind

Enable Component Catalog 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 Component Catalog 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 Component Catalog 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.

Component catalog

When to use

Use for a bounded product surface with repeated patterns, or when a supplied design does not clearly map to existing components. For implementation of one Figma or Paper selection, use design-to-code-handoff first. Do not use a universal inventory as a build list.

Workflow

Inventory actual routes, workflows, states, and repeated patterns. Read local instructions, component APIs, tokens, existing stories or component previews, and consumers. Record where each candidate appears.
Use the component catalog as a vocabulary check. Identify the smallest semantic component that covers observed behavior. Do not assume Atomic Design or shadcn/ui is installed; use either only when the repository follows it.
For each candidate choose reuse, extend, or new. Reuse when semantics, interaction, accessibility, and states fit. Extend when the API can support a missing state without breaking current callers. Add only when the needed behavior has a distinct contract. Record the alternative considered and why it fails.
Specify the public API, supported variants, states, composition, keyboard behavior, focus management, responsive behavior, and token dependencies. Keep visual variants separate from semantic behavior.
Verify the decision with representative callers and a Storybook story or existing component preview. Test keyboard and touch interaction for controls. Check that the proposed API covers observed states without one-off overrides.

Output

Pattern and evidence	Existing component	Decision and reason	Required states and contract	Verification	Unresolved

Name missing source evidence or unavailable previews. A component count is not evidence of coverage; report the observed workflows and states that are covered instead.

Bundled files

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

note.json1 KB
references/catalog.md6 KB

Frequently asked questions

What does the Component Catalog AI skill do?

Decide which interface components to reuse, extend, or add from observed product patterns and the existing codebase. Use for component-library coverage or design-to-code planning.

Why use Component Catalog on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/memi-design/design-skills/tree/main/skills/component-catalog. 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 Component Catalog?

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 Component Catalog?

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

Is the Component Catalog AI skill free?

Yes. It is published on GitHub by memi-design 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

Component catalog

When to use

Workflow

Output

Bundled files

Frequently asked questions

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