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Design Audit

Community
Aboudjem
design-audit

Full project design audit that orchestrates all agents, scores across 12 dimensions, and generates a prioritized action plan. Use when the user asks to audit their design, run a design review or UX audit, review their UI, or asks how their design looks.

Overview

PublisherAboudjem
Repositoryui-ux-suite
Skill namedesign-audit
Stars
7
Forks
1
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 Aboudjem 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/Aboudjem/ui-ux-suite/tree/main/skills/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/Aboudjem/ui-ux-suite.git /tmp/ui-ux-suite
mkdir -p .claude/skills
cp -r /tmp/ui-ux-suite/skills/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.

/design-audit: Full Project Design Audit

Run a comprehensive design audit on the current project or a specified path.

Usage

/design-audit              # Audit current project
/design-audit /path/to/project  # Audit specific project

Flow

  1. Load knowledge base - Read the knowledge index and all 21 knowledge files:
    • Use uiux_knowledge_query with listFiles: true to get the full inventory
    • Every agent reads its assigned knowledge files (see knowledge/INDEX.md for the mapping)
    • The evidence base, principles, anti-patterns, and trends files are required reading for ALL agents
  2. Scan project - Use uiux_scan_project to detect framework, styling, component library, theme system
  3. Display profile - Show the user what was detected, ask for confirmation
  4. Dispatch agents - Launch all relevant specialist agents in parallel (each reads its knowledge files first):
    • color-analyst - Color system diagnosis
    • typography-analyst - Typography system diagnosis
    • layout-analyst - Layout, spacing, grid analysis
    • component-reviewer - Component quality and consistency
    • accessibility-auditor - WCAG compliance check
    • interaction-analyst - Motion, transitions, feedback
    • psychology-analyst - Cognitive load, hierarchy, trust
    • visual-style-advisor - Style direction evaluation
    • platform-advisor - Platform convention adherence
    • ux-flow-analyst - Navigation and user flows
    • performance-ux-analyst - Loading and perceived speed
  5. Aggregate scores - Use uiux_score_overall to calculate weighted total
  6. Generate report - Full markdown report with:
    • Project design profile
    • Score card (12 dimensions)
    • Top 20 findings ranked by impact
    • Detailed per-dimension reports
    • Prioritized action plan (quick wins / medium / major)

Agent dispatch strategy

Launch agents in parallel waves:

Wave 1 (always): color-analyst, typography-analyst, layout-analyst, accessibility-auditor, component-reviewer Wave 2 (always): interaction-analyst, psychology-analyst, visual-style-advisor Wave 3 (if applicable): platform-advisor (if mobile/cross-platform), ux-flow-analyst (if has routing), performance-ux-analyst (if has data fetching/images)

Output

Full audit report saved to design-audit-report.md in the project root. Score card displayed inline for quick overview.

Each finding may cite one or more UX laws inline (for example, [!] psychology: 12-item nav menu - violates Hick's Law, Choice Overload). When any finding carries laws, the report ends with a ## Laws of UX Coverage markdown table summarizing violation counts and worst offenders per law. Agents look up law display names and primary-source citations from knowledge/laws-of-ux.md and the uiux_laws_query MCP tool.

Frequently asked questions

What does the Design Audit AI skill do?

Full project design audit that orchestrates all agents, scores across 12 dimensions, and generates a prioritized action plan. Use when the user asks to audit their design, run a design review or UX audit, review their UI, or asks how their design looks.

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/Aboudjem/ui-ux-suite/tree/main/skills/design-audit. TypingMind reads its SKILL.md 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?

Yes. It is published on GitHub by Aboudjem 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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