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Design Review

Community
RealTask
design-review

Critique an implemented interface using evidence-based findings prioritized by user impact, severity, scope, and practical remediation.

Overview

PublisherRealTask
RepositoryMAX-DESIGN
Skill namedesign-review
Stars
4
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 RealTask on GitHub. Read the source before you install it.

Installation

Install the Design Review 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/RealTask/MAX-DESIGN/tree/main/skills/design-review
  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/RealTask/MAX-DESIGN.git /tmp/MAX-DESIGN
mkdir -p .claude/skills
cp -r /tmp/MAX-DESIGN/skills/design-review .claude/skills/design-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Review 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 Review 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 Review 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 review

When to use

Use when reviewing an existing page, visual implementation, screenshot, component library, design-system change, or pull request affecting UI quality.

Workflow

1. Establish review context

Identify intended users, primary tasks, target viewports, brand constraints, supported browsers, and the state being reviewed. Inspect project documentation and available source. Do not judge a screenshot as though it reveals behavior that is not visible.

2. Review in priority order

  • P0 — Blocking: a major task cannot be completed, a severe accessibility barrier exists, destructive behavior is ambiguous, or critical content is hidden.
  • P1 — High impact: the primary action is hard to find, information hierarchy fails, a major layout breaks on supported screens, or keyboard operation is materially blocked.
  • P2 — Moderate: patterns are inconsistent, secondary hierarchy is weak, responsive density is awkward, or state feedback is unclear but not blocking.
  • P3 — Polish: minor spacing, alignment, motion, or finish improvements with limited impact on outcomes.

Use severity based on evidence and impact, not personal taste. Do not inflate urgency.

3. Inspect key dimensions

Review task clarity; layout, alignment, density and reading order; type and content; color roles, contrast and status meaning; consistency with tokens; responsive behavior and overflow; keyboard, focus, labels, semantics and errors; feedback and touch usability; motion, reduced motion, loading stability, and likely performance cost.

4. Write actionable findings

Each finding should include severity and location, observed evidence and conditions, user impact, the smallest effective fix, and a way to verify the result. Avoid vague statements such as “make it cleaner” without a specific example and expected result.

5. Separate observations from hypotheses

If source, live page, interaction, or viewport is unavailable, say so. Mark assumptions and recommended follow-up tests. Do not claim a control is broken based only on a static screenshot.

6. Provide a prioritized plan

Lead with the highest-value fixes. Group related issues to avoid churn. Prefer fixing a shared token or component over patching multiple screens when the root cause is systemic.

Quality gates

  • Findings are grounded in observable evidence.
  • Priority reflects user impact and severity.
  • Each actionable finding includes a realistic remediation.
  • Relevant viewport and interaction states are covered.
  • Preference is separated from usability, accessibility, and implementation defects.
  • Unverified assumptions and unperformed checks are disclosed.

Frequently asked questions

What does the Design Review AI skill do?

Critique an implemented interface using evidence-based findings prioritized by user impact, severity, scope, and practical remediation.

Why use Design Review on TypingMind?

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

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

Which AI models can use Design Review?

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 Review?

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

Is the Design Review AI skill free?

Yes. It is published on GitHub by RealTask 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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