visual-qa
Skill1 starsChanged 6 months agoMITView on GitHub
Audit visual quality, aesthetic craft, UI consistency, layout, responsive behavior, typography, spacing, trust signals, and AI slop patterns in a website, app, screenshot, or generated UI.
20 other projects use a version of this.
Adopted by
Most recently taken up by
- DevNewbie1826/skillstheir own version, first seen Nov 8, 2026
- claude-world/cf-browsertheir own version, first seen Nov 1, 2026
- toribryan/design-skillstheir own version, first seen Oct 25, 2026
- UXLana/design-skills-packtheir own version, first seen Oct 25, 2026
- Alfred-Lau/skillstheir own version, first seen Oct 20, 2026
- nimadorostkar/Claude-Skills-collectiontheir own version, first seen Oct 13, 2026
Other versions20 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 20
- RandallLiuXin/GodotMaker★ 555same name
- dylanfeltus/skills★ 179same name
- liangdabiao/Godogen★ 120same name
- DanielKerridge/claude-code-power-platform-skills★ 61same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- archibate/agent-skills★ 16same name
- claude-world/cf-browser★ 9same name
- UXLana/design-skills-pack★ 8same name
- dev-ik/ai-design-rules★ 3same name
- DevNewbie1826/skills★ 2same name
10 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .cursor/rules/audit-live-workbench.mdcCursor rule
- accept-fiveSkill
- agent-diagnoseSkill
- ai-product-auditSkill
- auditSkill
- deploy-checkSkill
- flow-testSkill
- harnessSkill
- physical-flow-testSkill
- skill-studySkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 20 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Use this skill when the user wants to know whether a page feels designed, credible, consistent, and conversion-ready.
- Distinctive: line 19
Use measurable aesthetic heuristics for spacing, hierarchy, color roles, visual weight, component consistency, and Figma/code fidelity when …
- Very specific: line 24
Use S0-S4 severity and include regression checks for visual fixes.
“Common” is measured: kept by at least 6 in 10 of the 20 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Visual QA
Use this skill when the user wants to know whether a page feels designed, credible, consistent, and conversion-ready.
Do
- Identify product category and intended user scenario.
- Inspect first viewport, hierarchy, spacing, typography, color, imagery, components, and responsive behavior.
- Inventory visible media, document links, embeds, and product screenshots when they affect trust or layout.
- Flag AI slop: generic gradients, repeated icon cards, fake proof, vague copy, mismatched components, irrelevant imagery.
- Use measurable aesthetic heuristics for spacing, hierarchy, color roles, visual weight, component consistency, and Figma/code fidelity when evidence exists.
- Separate screenshot-backed findings from source-only findings.
- Compare against the right product pattern: local service, SaaS, portfolio, directory, dashboard, lifestyle commerce, etc.
- For product-pattern questions (scenario, outcome, next-step, inspiration vs. action), invoke
/ai-product-auditor use../ai-product-audit/references/product-pattern-rubric.md.
- For product-pattern questions (scenario, outcome, next-step, inspiration vs. action), invoke
- Produce section-level issue cards and copyable design-fix prompts.
- Use
S0-S4severity and include regression checks for visual fixes. - For multi-section reviews, emit progress updates after each major page section or viewport group.
References
references/aesthetic-quality-audit.mdreferences/aesthetic-metrics.mdreferences/webpage-audit-rubric.md../audit/references/progressive-reporting.mdfor long visual audits../audit/references/web-surface-discovery.mdwhen media, documents, or embeds need inventory
Output
- Aesthetic audit summary.
- Visual score with evidence level.
- Pattern fit table.
- AI slop signals.
- S0-S4 severity.
- Issue cards.
- Copyable fix pack.
- Regression checks.
- Lessons.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.