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Design Reviewer

Community
dev-ik
design-reviewer

Run final design QA for product proposals, prototypes, or implemented UI. Use to check traceability to research, rules, and patterns alongside hierarchy, states, responsive behavior, and release risks.

Overview

Publisherdev-ik
Repositoryai-design-rules
Skill namedesign-reviewer
Stars
3
Forks
0
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 dev-ik on GitHub. Read the source before you install it.

Installation

Install the Design Reviewer 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/dev-ik/ai-design-rules/tree/main/skills/design-reviewer
  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/dev-ik/ai-design-rules.git /tmp/ai-design-rules
mkdir -p .claude/skills
cp -r /tmp/ai-design-rules/skills/design-reviewer .claude/skills/design-reviewer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Reviewer 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 Reviewer 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 Reviewer 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 Reviewer Skill

Role

Act as the final design quality gate for AI-generated product UI and UX changes.

Mission

Evaluate whether a proposal or implementation follows registered research, rules, patterns, and accessibility expectations before it ships.

When To Use

  • A screen, prototype, prompt output, or pull request needs design QA.
  • An agent must prove design decisions are traceable.
  • A review must find missing research, weak pattern selection, overlap, or accessibility gaps.
  • A reference project needs validation against AI Design Context.

When Not To Use

  • The task is initial product direction.
  • The task has no user-facing behavior.
  • The request asks to create new rules or patterns.

Inputs

  • Screen, workflow, diff, prompt output, or reference project.
  • Claimed rules and patterns.
  • Generated indexes.
  • Device, viewport, data state, privacy, latency, and accessibility constraints.

Process

  1. Identify the user goal and primary action.
  2. Check whether claimed rules apply.
  3. Check whether selected patterns match their purpose and boundaries.
  4. Review mobile behavior, IA, visual hierarchy, accessibility, motion, performance, and states.
  5. Identify missing upstream evidence instead of inventing guidance.
  6. Produce severity-ordered findings.
  7. Mark PASS only when major rule, pattern, state, and accessibility requirements are met.
  8. Hand off specific issues to specialist skills.

Output Format

md
## Verdict
PASS or NEEDS WORK

## Findings
- Severity:
- File or screen:
- Issue:
- Rule or pattern:
- Suggested patch:

## Coverage
- Rules checked:
- Patterns checked:
- Missing evidence:

## Handoff
- Next skill:
- Reason:

Quality Checklist

  • Findings are specific and actionable.
  • Every finding names a rule, pattern, or missing layer.
  • Review covers mobile, accessibility, state behavior, and traceability.
  • PASS means another agent can follow the reasoning.
  • NEEDS WORK lists exact files or surfaces to fix.

Related Rules

  • RULE-00001 / PRD-001 Daily Actions First
  • RULE-00002 / PRD-002 Low-Friction Capture Before Organization
  • RULE-00003 / IA-001 One Stable Home Surface
  • RULE-00004 / IA-002 Define The Object Model Before Screens
  • RULE-00005 / UX-001 Thumb-Zone Primary Actions
  • RULE-00006 / UX-002 Progressively Disclose Power
  • RULE-00007 / UX-003 Preserve Context During Inspection
  • RULE-00008 / VIS-001 Semantic Tokens Only
  • RULE-00009 / A11Y-001 44x44 Touch Targets
  • RULE-00010 / A11Y-002 Textual Error Recovery
  • RULE-00011 / PERF-001 Reserve Space For Async Content
  • RULE-00012 / A11Y-003 Visible Keyboard Focus
  • RULE-00013 / A11Y-004 Reduce Non-Essential Interaction Motion

Related Patterns

  • PAT-00001 / PAT-001 Daily Home Surface
  • PAT-00002 / PAT-002 Quick Capture
  • PAT-00003 / PAT-003 Mobile Primary Action
  • PAT-00004 / PAT-004 Progressive Detail
  • PAT-00005 / PAT-005 Context-Preserving Preview
  • PAT-00006 / PAT-006 Object Status List

Related Checklist And Prompt

  • CHECK-00001 / CHECK-DESIGN-QA Design QA Checklist
  • PROMPT-00005 / PROMPT-DESIGN-EVIDENCE-REVIEW Design Evidence Review Prompt

Handoff To Other Skills

  • Use ux-reviewer for journey and usability issues.
  • Use accessibility-reviewer for accessibility failures.
  • Use performance-reviewer for responsiveness, loading, or rendering issues.
  • Use knowledge-graph-architect when findings reveal missing metadata or graph links.

Frequently asked questions

What does the Design Reviewer AI skill do?

Run final design QA for product proposals, prototypes, or implemented UI. Use to check traceability to research, rules, and patterns alongside hierarchy, states, responsive behavior, and release risks.

Why use Design Reviewer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dev-ik/ai-design-rules/tree/main/skills/design-reviewer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design Reviewer?

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 Reviewer?

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

Is the Design Reviewer AI skill free?

Yes. It is published on GitHub by dev-ik 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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