art-critique
Skill1 starsChanged 8 days agoNo licenceView on GitHub
Judge illustrations, mascots, scenes, banners and cards cold, as a reviewer who never saw them made. Scores six axes (identity held, one hand, AI-default motifs, defects in full-size crops, composition, the art in its real placement with its copy), ranks candidates two at a time in both orders, and names the gap to premium per axis against a benchmark of professional work. Use when reviewing generated or hand-made art, picking the best of several generations, asking whether art looks premium or AI-made, or checking that copy on a card or banner does not break the art. Generating and fixing art is brand-art, which calls this skill at its gates; collecting the benchmark is moodboard; UI screens are impeccable or design-direction.
In this repository12 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- brand-artSkill
- design-directionSkill
- learnSkill
- moodboardSkill
- motion-directionSkill
- report-changelogSkill
- report-deckSkill
- report-webSkill
- ux-behaviour-auditSkill
- video-contextSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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.

