Agent skill

Critique

by netaart in netaart/cohub

Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based…

Apache-2.0Auto-check passedFrontend & Design

Install Critique

skills CLI
$ npx skills add netaart/cohub --skill critique -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install netaart/cohub critique --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/netaart/cohub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/critique .claude/skills/critique && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
critique
GitHub stars
570
Used in
1 other repo
Token cost
~2.8k tokens
SKILL.md length
1,481 words
Files
4
Skills in repo
29
Repo updated
First seen
Licence
Apache-2.0

At a glance

Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based…

  • Works in 4 steps: Design Critique → Present Findings → Ask the User → …
  • The user asks to review
  • SKILL.md covers MANDATORY PREPARATION, Phase 1: Design Critique, Phase 2: Present Findings and Phase 3: Ask the User, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Critique is an agent skill from netaart/cohub. Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, and actionable feedback. Use when the user asks to review, critique, evaluate, or give feedback on a design or component.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `reference/cognitive-load.md`, `reference/heuristics-scoring.md` and `reference/personas.md`).

It sits in Frontend & Design, covering UX design. The repository describes itself as: A living space where people and agents create, play, and build together. The licence is Apache-2.0.

When your agent uses it

  • The user asks to review
  • Give feedback on a design

Example prompts

  • “/critique”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Design Critique
  2. Present Findings
  3. Ask the User
  4. Recommended Actions

What it can do on your machine

Read from SKILL.md and the folder at commit 1a4b7c1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Critique loads about 2.8k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 1,481 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from netaart/cohub at commit 1a4b7c1, republished under its Apache-2.0 licence (© netaart). 1,481 words, ~2,775 tokens.

Download SKILL.mdSave it as .claude/skills/critique/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
critique
description
Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, and actionable feedback. Use when the user asks to review, critique, evaluate, or give feedback on a design or component.
user-invocable
true
argument-hint
[area (feature, page, component...)]

MANDATORY PREPARATION

Invoke /frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /teach-impeccable first. Additionally gather: what the interface is trying to accomplish.


Conduct a holistic design critique, evaluating whether the interface actually works — not just technically, but as a designed experience. Think like a design director giving feedback.

Phase 1: Design Critique

Evaluate the interface across these dimensions:

1. AI Slop Detection (CRITICAL)

This is the most important check. Does this look like every other AI-generated interface from 2024-2025?

Review the design against ALL the DON'T guidelines in the frontend-design skill — they are the fingerprints of AI-generated work. Check for the AI color palette, gradient text, dark mode with glowing accents, glassmorphism, hero metric layouts, identical card grids, generic fonts, and all other tells.

The test: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.

2. Visual Hierarchy
  • Does the eye flow to the most important element first?
  • Is there a clear primary action? Can you spot it in 2 seconds?
  • Do size, color, and position communicate importance correctly?
  • Is there visual competition between elements that should have different weights?
3. Information Architecture & Cognitive Load

Consult cognitive-load for the working memory rule and 8-item checklist

  • Is the structure intuitive? Would a new user understand the organization?
  • Is related content grouped logically?
  • Are there too many choices at once? Count visible options at each decision point — if >4, flag it
  • Is the navigation clear and predictable?
  • Progressive disclosure: Is complexity revealed only when needed, or dumped on the user upfront?
  • Run the 8-item cognitive load checklist from the reference. Report failure count: 0–1 = low (good), 2–3 = moderate, 4+ = critical.
4. Emotional Journey
  • What emotion does this interface evoke? Is that intentional?
  • Does it match the brand personality?
  • Does it feel trustworthy, approachable, premium, playful — whatever it should feel?
  • Would the target user feel "this is for me"?
  • Peak-end rule: Is the most intense moment positive? Does the experience end well (confirmation, celebration, clear next step)?
  • Emotional valleys: Check for onboarding frustration, error cliffs, feature discovery gaps, or anxiety spikes at high-stakes moments (payment, delete, commit)
  • Interventions at negative moments: Are there design interventions where users are likely to feel frustrated or anxious? (progress indicators, reassurance copy, undo options, social proof)
5. Discoverability & Affordance
  • Are interactive elements obviously interactive?
  • Would a user know what to do without instructions?
  • Are hover/focus states providing useful feedback?
  • Are there hidden features that should be more visible?
6. Composition & Balance
  • Does the layout feel balanced or uncomfortably weighted?
  • Is whitespace used intentionally or just leftover?
  • Is there visual rhythm in spacing and repetition?
  • Does asymmetry feel designed or accidental?
7. Typography as Communication
  • Does the type hierarchy clearly signal what to read first, second, third?
  • Is body text comfortable to read? (line length, spacing, size)
  • Do font choices reinforce the brand/tone?
  • Is there enough contrast between heading levels?
8. Color with Purpose
  • Is color used to communicate, not just decorate?
  • Does the palette feel cohesive?
  • Are accent colors drawing attention to the right things?
  • Does it work for colorblind users? (not just technically — does meaning still come through?)
9. States & Edge Cases
  • Empty states: Do they guide users toward action, or just say "nothing here"?
  • Loading states: Do they reduce perceived wait time?
  • Error states: Are they helpful and non-blaming?
  • Success states: Do they confirm and guide next steps?
10. Microcopy & Voice
  • Is the writing clear and concise?
  • Does it sound like a human (the right human for this brand)?
  • Are labels and buttons unambiguous?
  • Does error copy help users fix the problem?

Phase 2: Present Findings

Structure your feedback as a design director would:

Design Health Score

Consult heuristics-scoring

Score each of Nielsen's 10 heuristics 0–4. Present as a table:

#HeuristicScoreKey Issue
1Visibility of System Status?[specific finding or "—" if solid]
2Match System / Real World?
3User Control and Freedom?
4Consistency and Standards?
5Error Prevention?
6Recognition Rather Than Recall?
7Flexibility and Efficiency?
8Aesthetic and Minimalist Design?
9Error Recovery?
10Help and Documentation?
Total??/40[Rating band]

Be honest with scores. A 4 means genuinely excellent. Most real interfaces score 20–32.

Anti-Patterns Verdict

Start here. Pass/fail: Does this look AI-generated? List specific tells from the skill's Anti-Patterns section. Be brutally honest.

Overall Impression

A brief gut reaction — what works, what doesn't, and the single biggest opportunity.

What's Working

Highlight 2–3 things done well. Be specific about why they work.

Priority Issues

The 3–5 most impactful design problems, ordered by importance.

For each issue, tag with P0–P3 severity (consult heuristics-scoring for severity definitions):

  • [P?] What: Name the problem clearly
  • Why it matters: How this hurts users or undermines goals
  • Fix: What to do about it (be concrete)
  • Suggested command: Which command could address this (from: /animate, /quieter, /optimize, /adapt, /clarify, /distill, /delight, /onboard, /normalize, /audit, /harden, /polish, /extract, /bolder, /arrange, /typeset, /critique, /colorize, /overdrive)
Show full SKILL.md (645 more words)Show less
Persona Red Flags

Consult personas

Auto-select 2–3 personas most relevant to this interface type (use the selection table in the reference). If .github/copilot-instructions.md contains a ## Design Context section from teach-impeccable, also generate 1–2 project-specific personas from the audience/brand info.

For each selected persona, walk through the primary user action and list specific red flags found:

Alex (Power User): No keyboard shortcuts detected. Form requires 8 clicks for primary action. Forced modal onboarding. ⚠️ High abandonment risk.

Jordan (First-Timer): Icon-only nav in sidebar. Technical jargon in error messages ("404 Not Found"). No visible help. ⚠️ Will abandon at step 2.

Be specific — name the exact elements and interactions that fail each persona. Don't write generic persona descriptions; write what broke for them.

Minor Observations

Quick notes on smaller issues worth addressing.

Remember:

  • Be direct — vague feedback wastes everyone's time
  • Be specific — "the submit button" not "some elements"
  • Say what's wrong AND why it matters to users
  • Give concrete suggestions, not just "consider exploring..."
  • Prioritize ruthlessly — if everything is important, nothing is
  • Don't soften criticism — developers need honest feedback to ship great design

Phase 3: Ask the User

After presenting findings, use targeted questions based on what was actually found. ask the user directly to clarify what you cannot infer. These answers will shape the action plan.

Ask questions along these lines (adapt to the specific findings — do NOT ask generic questions):

  1. Priority direction: Based on the issues found, ask which category matters most to the user right now. For example: "I found problems with visual hierarchy, color usage, and information overload. Which area should we tackle first?" Offer the top 2–3 issue categories as options.

  2. Design intent: If the critique found a tonal mismatch, ask whether it was intentional. For example: "The interface feels clinical and corporate. Is that the intended tone, or should it feel warmer/bolder/more playful?" Offer 2–3 tonal directions as options based on what would fix the issues found.

  3. Scope: Ask how much the user wants to take on. For example: "I found N issues. Want to address everything, or focus on the top 3?" Offer scope options like "Top 3 only", "All issues", "Critical issues only".

  4. Constraints (optional — only ask if relevant): If the findings touch many areas, ask if anything is off-limits. For example: "Should any sections stay as-is?" This prevents the plan from touching things the user considers done.

Rules for questions:

  • Every question must reference specific findings from Phase 2 — never ask generic "who is your audience?" questions
  • Keep it to 2–4 questions maximum — respect the user's time
  • Offer concrete options, not open-ended prompts
  • If findings are straightforward (e.g., only 1–2 clear issues), skip questions and go directly to Phase 4

After receiving the user's answers, present a prioritized action summary reflecting the user's priorities and scope from Phase 3.

Action Summary

List recommended commands in priority order, based on the user's answers:

  1. /command-name — Brief description of what to fix (specific context from critique findings)
  2. /command-name — Brief description (specific context) ...

Rules for recommendations:

  • Only recommend commands from: /animate, /quieter, /optimize, /adapt, /clarify, /distill, /delight, /onboard, /normalize, /audit, /harden, /polish, /extract, /bolder, /arrange, /typeset, /critique, /colorize, /overdrive
  • Order by the user's stated priorities first, then by impact
  • Each item's description should carry enough context that the command knows what to focus on
  • Map each Priority Issue to the appropriate command
  • Skip commands that would address zero issues
  • If the user chose a limited scope, only include items within that scope
  • If the user marked areas as off-limits, exclude commands that would touch those areas
  • End with /polish as the final step if any fixes were recommended

After presenting the summary, tell the user:

You can ask me to run these one at a time, all at once, or in any order you prefer.

Re-run /critique after fixes to see your score improve.

© netaart, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in .agents/skills/critique of netaart/cohub.

  • SKILL.md
  • reference/cognitive-load.md
  • reference/heuristics-scoring.md
  • reference/personas.md

Open the folder on GitHubat commit 1a4b7c1

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in netaart/cohub, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Critique next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Critique compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Critique this skillnetaart/cohub5701 repos~2.8kAutomated safety check: PassApache-2.0
Impeccablebestofjs/bestofjs3.1k27 repos~2.6kAutomated safety check: PassMIT
Interface Design for Dashboards and Appsholaboss-ai/holaOS11k3 repos~6kAutomated safety check: PassMIT
Animategrowupanand/ConvoForm1016 repos~1.9kAutomated safety check: PassApache-2.0
Migrate Content Iadocker/docs4.7k—~5.1kAutomated safety check: PassApache-2.0
UX WalkthroughXiaoMi/hiui877—~1.3kAutomated safety check: PassMIT

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Questions about Critique

What does Critique do?

Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based…. Critique is an agent skill from netaart/cohub. Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, and actionable feedback.

When should I use Critique?

Critique fits situations like: the user asks to review; give feedback on a design.

How do I install Critique in Claude Code?

Run `npx skills add netaart/cohub --skill critique -a claude-code`. Or copy the skill folder (.agents/skills/critique in netaart/cohub) into .claude/skills/critique in your project. Claude Code loads it when a task matches its description.

How do I install Critique in Codex?

Run `npx skills add netaart/cohub --skill critique -a codex`. Or copy the skill folder (.agents/skills/critique in netaart/cohub) into .agents/skills/critique in your project. Codex loads it when a task matches its description.

Can I use Critique in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add netaart/cohub --skill critique -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/critique, .gemini/skills/critique, .github/skills/critique and .opencode/skills/critique in your project.

What does Critique need to run?

SKILL.md names no scripts, command-line tools or credentials: Critique is instructions for the agent only.

Does Critique access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Critique safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Critique use?

Critique is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Critique use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Critique?

Skills that share tags, products or a category with Critique: Impeccable (bestofjs/bestofjs, 3.1k stars), Interface Design for Dashboards and Apps (holaboss-ai/holaOS, 11k stars), Animate (growupanand/ConvoForm, 101 stars) and Migrate Content Ia (docker/docs, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Critique?

netaart (a GitHub organization) maintains it in netaart/cohub, which has 570 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 8, 2026.

Source: netaart/cohub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.