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Ux Extract

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jezweb
ux-extract

Exhaustively extract UX patterns from a reference web app. Walks every screen, captures screenshots of every state, records interaction patterns, copy verbatim, keyboard shortcuts, responsive treatments, motion, and empty/error/loading states. Produces a reusable pattern library that other audits can compare against. The inverse of ux-audit — asks 'what is the bar?' rather than 'does this match the bar?'. Trigger with 'learn from X', 'extract patterns from X', 'study X's UX', 'reverse engineer the UX of X', 'build a pattern library from X'.

Overview

Publisherjezweb
Repositoryclaude-skills
Skill nameux-extract
Stars
1K
Forks
102
Bundled files
2
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.

  • 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 jezweb on GitHub. Read the source before you install it.

Installation

Install the Ux 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/jezweb/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/dev-tools/skills/ux-extract .claude/skills/ux-extract
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ux 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 Ux 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 Ux 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.

UX Extract

Exhaustively study a reference web app and produce a reusable pattern library. Goes everywhere, captures everything, then organises it into a document another audit or build can reference.

The inverse of ux-audit:

  • Audit asks: does this match a bar?
  • Extract asks: what is the bar?

Audits without extracts implicitly compare to "my memory of other apps" — fragile and inconsistent. Extracts turn that memory into a concrete, navigable artifact. An audit can then say: "Empty state on /app/clients shows no CTA. Reference (claude.ai) shows 3 keyboard shortcuts plus 'New chat' in the same position" instead of "feels a bit sparse".

When to use

  • Before building a new feature — study how best-in-class apps handle it
  • Benchmarking a build — extract the reference, then audit against it
  • Onboarding designers or engineers — here's what good looks like, concretely
  • Competitor research — document the competitor's UX so you can meaningfully differentiate
  • Refreshing an old app — extract patterns from modern equivalents to guide the update

Scope and ethics

Before starting, confirm the target is fair game:

  1. Use your own account — don't scrape anything that requires credentials you don't legitimately hold
  2. Respect robots.txt for unauthenticated crawling
  3. Rate-limit — act like a human user, not a crawler. Pause between pages.
  4. Check ToS — most SaaS Terms of Service permit individual inspection but prohibit automated scraping
  5. Don't redistribute screenshots of a live competitor's app publicly — pattern libraries are internal references

If the target is behind a paywall or requires a trial account, ask the user whether they have legitimate access before proceeding.

Setup

1. Browser tool

TargetToolNotes
Authenticated reference (you have an account)Chrome MCPUses your logged-in session
Public reference (marketing pages, docs, public demos)Playwright MCPNo login needed

See ../ux-audit/references/browser-tools.md for commands.

2. Viewport

Pin 1440×900 as baseline (MacBook standard). Also capture 768 and 375 for responsive patterns. Don't exceed 2000px wide.

2b. Screenshot post-processing

On Retina Macs, Chrome captures at 2× the logical viewport — a 1440-wide window produces a 2880-wide PNG. Post-process after each batch so the library isn't full of oversized files:

bash
img-process batch ./screenshots --action optimise --max-width 1440

Idempotent — no-op on already-small files. Run at the end of each route's capture, or across the whole screenshots/ folder at the end of the extract. Playwright MCP users can set deviceScaleFactor: 1 in the context options and skip this step.

3. Scope

Decide before starting:

  • Whole app — traverse everything reachable (can take hours, produces a comprehensive library)
  • Feature area — one section ("the settings flow", "the dashboard", "the billing flow")
  • Pattern class — just empty states, just error handling, just onboarding

Narrower scope produces tighter, more useful libraries. "Whole app" is only worth it for apps you'll be building a direct analogue of.

4. Focus lens (optional)

Optional bias for capture. Examples:

  • "Focus on patterns for data-heavy lists" — prioritise table, filter, search, virtualisation screenshots
  • "Focus on onboarding and empty states" — prioritise first-run flows and zero-data views
  • "Focus on permission boundaries" — log in as multiple roles, document the differences

If no focus is given, capture broadly.

Discovery

Sitemap crawl

Build the full route inventory:

  1. Public sitemap — check /sitemap.xml, /robots.txt for discoverability
  2. Nav crawl — click through every section visible in the top nav, sidebar, footer
  3. In-app discovery — once inside, note every link that appears (breadcrumbs, tabs, contextual menus)
  4. URL inspection — some apps have useful patterns in /settings, /preferences, /admin that aren't in the main nav

Record each route with its purpose: /settings/billing — subscription plan, payment method, invoice history.

Pattern inventory

Before deep-capture, scan the app once and list pattern types you'll document. Typical categories:

  • Wayfinding (nav, breadcrumbs, current-location, back)
  • Lists & tables (row, hover, action reveal, selection, sort, filter, paginate, empty)
  • Forms (label, validation, error, required, inline help)
  • Modals & dialogs (trigger, focus, escape, scroll, confirm)
  • Feedback (toast, inline, progress, loading, saved)
  • Onboarding & empty states (first-run, zero-data CTA, guided tour)
  • Permissions & roles (restricted views, denied-access, role indicators)
  • Copy & microcopy (buttons, headings, errors, placeholders, tooltips)
  • Keyboard (shortcut sheet, focus, tab order, command palette)
  • Motion (transition, reveal, loading, gesture)
  • Responsive (breakpoints, mobile-specific: bottom sheet, tabs, swipe)

Not every app uses every category. Mark which apply.

Capture Phase

For each route, capture exhaustively. Screenshots are cheap — err toward more.

Screenshot all states

Per meaningful element, capture:

StateTrigger
Defaultpage loaded, nothing interacted with
Hovermouse over a button, row, nav item
Focuskeyboard-focused via Tab
Activebutton mid-click, input being typed into
Opendropdown open, menu expanded
Closeddropdown closed, menu collapsed
Expandedaccordion open, detail panel expanded
Collapsedaccordion closed
Selectedcheckbox ticked, row selected, tab active
Loadingskeleton, spinner, pending state
Emptylist with no items
Populatedlist with many items
Errorinline, toast, or full-page error
Successpost-action confirmation

See references/capture-checklist.md for the full per-pattern checklist.

Capture copy verbatim

Copy the text exactly, including punctuation, ellipses, and tone:

  • Button labels: "Start chat", "Upgrade plan", "Delete forever"
  • Empty states: "No conversations yet. Start one to see it here."
  • Error messages: "We couldn't save that change. Try again, or contact support if it keeps happening."
  • Confirmation dialogs: "Delete this project? All 14 tasks and 3 members will be removed. This cannot be undone."
  • Placeholder text: "e.g. smith@company.com"
  • Tooltips: "Pressing Cmd+K opens this from anywhere"

Raw copy is gold for writers and informs your app's voice.

Capture interactions

For each interactive element, note:

  • Trigger: click / hover / keyboard / long-press / drag
  • Target: what it affects (opens modal, filters list, navigates)
  • Feedback: immediate visual response? delayed confirmation?
  • Reversibility: undoable? destructive?

Capture keyboard patterns

  • Shortcut sheet: is there a ? or Cmd+/ that reveals the shortcut list? Capture it.
  • Command palette: Cmd+K or similar? Capture the palette open, searching, a result selected, and an action executed.
  • Focus indicators: tab through the page, note the ring style, colour, thickness
  • Tab order: is it logical? Any unexpected jumps?

Capture responsive treatments

For each route, screenshot at 1440, 768, 375. Note what changes, not just "it works":

  • Navigation moves from sidebar to hamburger at [breakpoint]
  • Table collapses to stacked cards at [breakpoint]
  • Modal becomes full-screen at [breakpoint]
  • Multi-column form becomes single-column at [breakpoint]

Capture motion

Record a GIF (Chrome MCP's gif_creator) of any animation worth documenting:

  • Page transitions
  • Modal enter/exit
  • List item enter/exit
  • Loading → loaded
  • Success animations (confetti, checkmarks)
  • Drag-and-drop feedback

One 3-second GIF is worth a paragraph of description.

Dedup Phase

After capture, many patterns will appear on multiple pages. Deduplicate:

  • Same row pattern on 5 list pages → one "list row" entry with a note "used on: /clients, /projects, /invoices, /reports, /team"
  • Same empty state layout with different copy → one "empty state" entry with copy variants listed
  • Same modal chrome → one "modal" entry; specific modals listed as usages

Keep two counts per pattern:

  • Occurrences — how many times this pattern appears
  • Variants — meaningful differences (icon vs no icon, small vs large, with CTA vs without)

A pattern that appears once is rarely worth documenting unless it's unique and notable.

Output

Write to docs/ux-extracts/<app-name>/ (or .jez/artifacts/ux-extracts/<app-name>/ if that directory exists):

docs/ux-extracts/claude-ai/
├── pattern-library.md      ← main document
├── copy-corpus.md          ← optional, raw copy by page (for writers)
└── screenshots/
    ├── 001-home-default.png
    ├── 002-home-hover-cta.png
    ├── 003-new-chat-empty.png
    └── ...

See references/pattern-library-template.md for the output structure.

The pattern library should be:

  • Navigable — table of contents at the top, jump links to every section
  • Cross-referenced — "see also: Modal Chrome"
  • Screenshot-dense — every claim backed by a referenced screenshot
  • Copy-accurate — verbatim text in code blocks or blockquotes, not paraphrased
  • Honest — note what's missing or weak as well as what's good. A reference library isn't gospel.

How ux-audit consumes this

ux-audit checks for pattern libraries at .jez/artifacts/ux-extracts/<ref>/pattern-library.md or docs/ux-extracts/<ref>/pattern-library.md. If found, it uses them as the bar for comparison. Audit findings can then cite specific patterns:

"Empty state on /app/clients has no explanatory copy and no CTA. Reference library [claude.ai § Empty States] shows CTA + 2 example prompts in the same position."

No integration is required beyond producing the library in the expected path.

Autonomy

  • Just do it: Navigate, screenshot, copy text, inject JavaScript to read computed styles, download static assets (logo, icons) for reference
  • Ask first: Any login that requires credentials the user hasn't authorised you to use, any scraping of a site where ToS or rate limiting is ambiguous
  • Stop and confirm: If the target has a login wall and you don't have clear authorisation, stop and confirm before proceeding

Reference files

WhenRead
Building the pattern-library.md outputreferences/pattern-library-template.md
Per-pattern capture checklist (what to screenshot, what to note)references/capture-checklist.md
Browser tool commands../ux-audit/references/browser-tools.md

Tips

  • Screenshots are cheap — capture generously. Easier to drop a screenshot from the library than to rerun the extract to get one.
  • Capture copy the moment you see it — don't plan to come back; come back and it'll be behind a different state.
  • Note what's absent — if an app has no keyboard shortcut sheet, that's a pattern decision worth documenting too.
  • Separate observation from evaluation — extract records what exists, not whether it's good. Opinions belong in an audit, not an extract.
  • Extracts decay — apps change. Timestamp the library, link to the date on archive.org if possible, plan to re-extract every 6–12 months for apps you compare against often.
  • Build incrementally — open the library file at the start, append as you go. Don't try to structure it all at the end.

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 Ux Extract AI skill do?

Exhaustively extract UX patterns from a reference web app. Walks every screen, captures screenshots of every state, records interaction patterns, copy verbatim, keyboard shortcuts, responsive treatments, motion, and empty/error/loading states. Produces a reusable pattern library that other audits can compare against. The inverse of ux-audit — asks 'what is the bar?' rather than 'does this match the bar?'. Trigger with 'learn from X', 'extract patterns from X', 'study X's UX', 'reverse engineer the UX of X', 'build a pattern library from X'.

Why use Ux Extract on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jezweb/claude-skills/tree/main/plugins/dev-tools/skills/ux-extract. 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 Ux 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 Ux Extract?

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

Is the Ux Extract AI skill free?

Yes. It is published on GitHub by jezweb 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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