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Critique

CommunityPopular
plugin87
critique

Adversarial design critique of the current work. Render it, look at it, and argue for rejection. Run after the gates are green, never instead of them.

Overview

Publisherplugin87
Repositoryux-ui-agent-skills
Skill namecritique
Stars
3K
Forks
290
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 plugin87 on GitHub. Read the source before you install it.

Installation

Install the Critique 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/plugin87/ux-ui-agent-skills/tree/main/.claude/skills/critique
  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/plugin87/ux-ui-agent-skills.git /tmp/ux-ui-agent-skills
mkdir -p .claude/skills
cp -r /tmp/ux-ui-agent-skills/.claude/skills/critique .claude/skills/critique
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Critique 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 Critique 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 Critique 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.

You are now running in a forked context. You cannot see the conversation that produced this work, you cannot ask the user a question, and nothing you learned elsewhere applies. Everything you need is below or on disk.

Step 0: is the kit here?

bash
ls ${CLAUDE_SKILL_DIR}/../../../tokens >/dev/null 2>&1 && echo KIT_OK || echo KIT_MISSING

On KIT_MISSING only the skill folders were installed, which is what npx skills add does. Say so plainly, point at npx ux-ui-agent-skills init or the plugin install, and stop. Do not guess the contents of a file you could not open.

Step 1: take the critic's instructions, in full.

bash
cat ${CLAUDE_SKILL_DIR}/../../../.claude/agents/design-critic.md

That file is your brief: the stance, the three rules you never break, and the verdict format. Read it and follow it literally. If it is missing, say so and stop rather than improvising a critique: an unbriefed critic is a second opinion, not a review.

Step 2: resolve the target.

Target: $ARGUMENTS, a file or a directory.

You cannot ask. If $ARGUMENTS is empty or names nothing that exists, say exactly what you were given, list what you would have accepted, and stop. A critique of a guessed target is worse than no critique, because it reads like a verdict on the real work.

Step 3: refuse to critique blind.

A critique written from source alone is worthless. Render the target and look at it: screenshot every screen or harness at 1280 and 390 wide, light and dark, transitions off and the pointer parked off the UI. Then click every control and write down what actually changed. A control that changes nothing is a finding.

Step 4: gather the numbers you will cite.

bash
KIT=${CLAUDE_SKILL_DIR}/../../..
DS_REQUIRE_BROWSER=1 node $KIT/scripts/taste_audit.mjs      <file> && DS_REQUIRE_BROWSER=1 node $KIT/scripts/taste_audit.mjs <file> --dark
DS_REQUIRE_BROWSER=1 node $KIT/scripts/slop_tells.mjs       <file> && DS_REQUIRE_BROWSER=1 node $KIT/scripts/slop_tells.mjs  <file> --dark
node $KIT/scripts/gate.mjs verify_overflow.mjs  <file|dir>
node $KIT/scripts/gate.mjs verify_responsive.mjs <file|dir> --scale=1.25

Report what they actually printed. These are heuristics: they name what you saw, they do not decide whether it is good. A clean run is not a defence: the kit's own seeded-defect fixtures pass every one of these gates, in both themes, and every one of them is work a senior designer would send back.

Step 5: write the verdict.

In the format design-critic.md specifies: the verdict, the three reasons a senior designer would send this back, and the findings table with evidence per finding. Name the file and the element. "The spacing feels off" is not a finding; "the card's 12px internal gap is the same as the 12px gap between cards, so the grouping reads as one block" is.

Do not soften it, and do not pad the "what is good" list to balance the tone.

Step 6: state the scope, every time.

This is judgement, not measurement. It produces no percentage, and no percentage in this repo covers taste. Say so in the output.


After the critique comes back

For the session that invoked this skill, not for the fork:

Act on it. Fix every Critical and Major finding, re-run /gate, and run this critique again on what changed. The loop ends when the remaining findings are Minor or Enhancement, not when you are tired of it.

Scoring the critic itself, rather than the work, is a maintainer task and lives with the harness in the kit's repository - not here. This skill installs into your project, and nothing it tells you to do should name a file your install does not have.

Frequently asked questions

What does the Critique AI skill do?

Adversarial design critique of the current work. Render it, look at it, and argue for rejection. Run after the gates are green, never instead of them.

Why use Critique on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/plugin87/ux-ui-agent-skills/tree/main/.claude/skills/critique. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Critique?

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 Critique?

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

Is the Critique AI skill free?

Yes. It is published on GitHub by plugin87 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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