
Product Design Critique
Gives structured, prioritized UX feedback on screens, flows, and components
- Repository
- paperclipai/paperclip
- Stars
- 110,078
- Licence
- MIT
- Files
- 1 file
What it does
Once installed, the agent reviews a screen, flow, or UI component in a fixed order: user job clarity, visual hierarchy, affordances, states, forms, accessibility, consistency, copy, and edge cases. It returns a prioritized list of must-fix, should-fix, and nice-to-fix issues, each paired with one concrete suggested fix, plus a list of strengths to keep. It is designed to recommend changes rather than redesign the product, and it asks for user context before critiquing.
Great for
- Designers who want a second, checklist-driven read on a screen before handoff
- Engineers reviewing a shipping feature for UX problems
- Product teams preparing a feature for broader rollout
Skip it if
- Requests for a full redesign, since the skill explicitly says critique is not redesign
- Very early concepts with no artifact yet, where the skill advises sketching first
- Work with no stated user context, since the skill says critique without it becomes personal taste
Try asking
- “Critique this checkout screen before we ship it, focusing on states and accessibility”
- “Review this onboarding flow screenshot and give me must-fix and should-fix items”
- “Give me a design critique of our settings page with prioritized changes”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
design-critique.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip design-critique.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip design-critique.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Provide the user role, the job on this screen, and what success looks like before asking for a critique, since the skill asks for these first
- Share the screen or flow in context, including what comes before and after it, so the critique can judge the journey
- Treat the output as feedback rather than sign-off; ask explicitly if you want an approval statement
What's inside
- SKILL.md
Redistributed unmodified from paperclipai/paperclip under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.