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Extract

Community
educlopez
extract

Refactoring pass — extracts repeated Tailwind class combos and markup into components, and lifts magic values into design tokens. Use when the codebase has obvious duplication, hardcoded hex values or pixel sizes, or when the user says "clean this up" / "extract components" / "tokenize styles". Invoke when the user asks for extract on their UI, or mentions 'extract' alongside design / UI / frontend work.

Overview

Publishereduclopez
Repositoryui-craft
Skill nameextract
Stars
344
Forks
17
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Extract 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.
  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/educlopez/ui-craft.git /tmp/ui-craft
mkdir -p .claude/skills
cp -r /tmp/ui-craft/cli/assets/codex/skills/extract .claude/skills/extract
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Extract 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 Extract 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 Extract 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.

Context: this sub-skill is one lens of the broader ui-craft skill. If the ui-craft skill is also installed, read its SKILL.md first for Discovery + Anti-Slop + Craft Test, then apply the specific lens below.

Extract reusable pieces from $ARGUMENTS. Load the ui-craft skill.

Step 1 — Scan the target for extraction candidates:

  • Repeated Tailwind class combos — any class string that appears ≥3 times becomes a component (or a cva/tv variant if the project uses one — check first).
  • Magic values — hex colors, pixel sizes, shadow definitions, font sizes, z-index values appearing in literal form. Lift into CSS variables or theme.extend.
  • Repeated markup — blocks that differ only by text/props collapse into a single component with props.

Step 2 — Match the project's conventions, don't impose new ones:

  • Naming — look at neighboring components. PascalCase file? kebab-case file? Named export vs default export? Match exactly.
  • Location — check components/ui/, ui/, primitives/, src/components/ before creating a new directory. Reuse.
  • Tokens — respect existing CSS variable naming (--color-*, --space-*, --font-*, --radius-*). Don't introduce a parallel system.

Step 3 — Anti-Slop Test on every new component (from SKILL.md):

  • Component name must be domain-specific, not generic. MetricCard / PricingTier / InviteRow beats Card / Box / Item.
  • If the component is generic ("a card with a title and description"), ask yourself whether it should instead be an inline composition — premature abstraction is worse than repetition.

Step 4 — Update every call-site. No half-migrations.

Knob-agnostic — DRY is not tunable.

References to read: references/layout.md (composition patterns), references/typography.md and references/color.md (token naming), plus the project's existing component library (scan before writing).

Output:

  1. The new component file(s) + any token additions.
  2. A table showing every call-site update:
FileBeforeAfter
  1. A one-line delta: "Extracted N components, M tokens. Call-sites updated: X."

Next step: /tokens — lift the values you just centralized into the token spine (rung 2).

Frequently asked questions

What does the Extract AI skill do?

Refactoring pass — extracts repeated Tailwind class combos and markup into components, and lifts magic values into design tokens. Use when the codebase has obvious duplication, hardcoded hex values or pixel sizes, or when the user says "clean this up" / "extract components" / "tokenize styles". Invoke when the user asks for extract on their UI, or mentions 'extract' alongside design / UI / frontend work.

Why use Extract on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/educlopez/ui-craft/tree/main/cli/assets/codex/skills/extract. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Extract?

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 Extract?

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

Is the Extract AI skill free?

Yes. It is published on GitHub by educlopez 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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