Design Audit logo

Design Audit

Community
AThevon
design-audit

Design audit checklist - motion gaps, accessibility, color consistency, responsive, performance.

Overview

PublisherAThevon
Repositorygenjutsu
Skill namedesign-audit
Stars
687
Forks
52
Bundled files
2
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 AThevon on GitHub. Read the source before you install it.

Installation

Install the Design Audit 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.
    https://github.com/AThevon/genjutsu/tree/main/skills/_jutsu/design-audit
  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/AThevon/genjutsu.git /tmp/genjutsu
mkdir -p .claude/skills
cp -r /tmp/genjutsu/skills/_jutsu/design-audit .claude/skills/design-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Audit 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 Audit 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 Audit 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.

Version-sensitive. Every API name, SDK gate and browser-support claim below was verified on 2026-09-08 against primary sources. What against, and when, is in _jutsu/VERSIONS.md. If that date is old, re-verify before acting on a version number.

Design Audit

The final checkpoint. Loaded by /genjutsu:paint at the end of the pipeline. Scans the codebase for motion gaps, a11y violations, perf issues, and inconsistencies.


The static pass

Run the script. Do not hand-write the greps.

bash
python3 "$SKILL_BASE/design-audit/scripts/audit.py" .

Add --json if you want to post-process it. --only <check-id> runs one check, --group tells or --group hygiene runs one group.

It reports three things, and the distinction between the last two is the whole reason it exists:

  • findings - the check ran and found something. Every finding carries file:line and the matched text, so you report the evidence rather than a verdict.
  • clean - the check ran against real files and found nothing.
  • not applicable - there were no files of that type, so the check did not run. Report these as not checked. Never as passing.

These greps used to live in this file, anchored on src/. A default Next.js app-router or Nuxt 3 project has no src/, so they matched nothing, and the pipeline read the empty output as a clean bill of health and said so to the user right before delivery. The script detects its roots, skips node_modules and build output, covers .vue / .svelte / .astro alongside JSX and CSS, and has a test per check asserting that the check can still fire.

Tells are reported apart. The script also runs the tells group: eighteen checks for defaults a model reaches for when nothing asked for them, such as a numbered eyebrow, a weather strip, three equal cards or a U+2014 (em dash) in the copy. Most read the displayed text of the markup (text between tags, alt, title, aria-label, placeholder), never class names or style objects, so width: "100%" is never taken for a claim of perfection. Five read the source instead, because their tell is a class or a CSS rule: gradient text, glass, glow, blobs and perpetual motion. Copy held in JavaScript data (an array of features, a content file) is not displayed text to the script: read it by hand.

They land in their own section, "Tells - confront each with the thesis before counting it", always at nice-to-have, and the script never counts one as a problem, because it cannot read the thesis. You confront each one:

  • the validated thesis names the pattern (it says the studio works across Paris and Tokyo, and the header shows both clocks): list it as allowed by the thesis, with the sentence quoted;
  • it does not: the tell is a problem, and it counts with the other problems.

A mood word names nothing. "Editorial" or "agency" does not allow a numbered eyebrow; most tells are exactly the clichés those words summon. When the tells module was loaded, its rules decide.

The inventory also lists colours, radii and font families next to durations and easings, each value with up to five file:line locations. No verdict there: compare them with the tokens and the thesis.

Contrast is not in the script. Compute it yourself from the token values you emitted, and report the pair with the ratio: #831843 on #FDF2F8 = 9.4:1. 4.5:1 for body text, 3:1 for large text and UI boundaries. A swatch you looked at is not a measurement.

If python3 is unavailable, say so in one line and fall back to reading the components you touched, in this order: reduced-motion guard, exit animations, layout-property animations, focus visibility, click handlers on non-interactive elements. Report it as a partial audit, and say which checks you could not run.


Stack-specific audit

Pick the subsection matching the project stack.

Compose (Android / Multiplatform)

  • Run Layout Inspector (Android Studio): inspect recompositions, identify components recomposing on every state change.
  • Run Macrobenchmark (androidx.benchmark.macro): measure frame timing on a real device under representative scrolling / animation load. Target: <16.67ms per frame at 60fps, <8.33ms at 120fps.
  • Inspect recomposition counts: Layout Inspector > Component Tree > View Options > Show Recomposition Counts (API 29+, Compose 1.2+). Reset the counters before each interaction so the numbers mean something. There is no Modifier.recomposeHighlighter in androidx - it is a sample you vendor into a debug source set.
  • Generate Baseline Profiles (BaselineProfileGenerator) for production builds.
  • Verify Modifier.semantics is set on custom components (TalkBack support).

SwiftUI (iOS / macOS)

  • Run Instruments Time Profiler: identify hot paths during animation (target: zero frames over 16.67ms).
  • Run Instruments Hitches Instrument (iOS 14+): detects dropped frames and stalls.
  • Run Instruments GPU Frame Capture for Metal shaders: verify shader compile time, GPU vs CPU bottleneck.
  • Verify .accessibilityLabel / .accessibilityHint on every interactive view.
  • Test with Dynamic Type at 200% size (Environment Overrides in Xcode).
  • Test with Reduce Motion ON.

Web

  • Existing checklist above (Lighthouse, Chrome DevTools Performance, etc.).

Output Format

Structure findings by severity:

Critical (must fix before ship)

  • Missing prefers-reduced-motion handling
  • Clickable divs without keyboard support
  • outline: none without :focus-visible replacement
  • Animating layout properties (width/height/top/left)

Important (fix in current sprint)

  • Conditional renders without AnimatePresence
  • Hover states without transition
  • Missing aria-hidden on decorative animations
  • setTimeout used for animation loops
  • Inconsistent durations (>8 unique values)

Nice-to-have (backlog)

  • Lists without stagger animation
  • Inline styles without transition
  • Excessive will-change usage
  • Asymmetric enter/exit (wrong direction)
  • Animation library oversized for actual usage

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 Design Audit AI skill do?

Design audit checklist - motion gaps, accessibility, color consistency, responsive, performance.

Why use Design Audit on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AThevon/genjutsu/tree/main/skills/_jutsu/design-audit. 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 Audit?

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 Audit?

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

Is the Design Audit AI skill free?

It is published on GitHub by AThevon. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇