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agent-skills vs taste-skill

Cursor rivals. Both tagged cursor, agent-skills, codex. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

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addyosmani/agent-skills: 115,572 stars, JavaScript. Production-grade engineering skills for AI coding agents.
Leonxlnx/taste-skill: 113,255 stars, JavaScript. Agent skills that give coding agents taste: art direction, reference images and a browser check instead of generic AI pages

agent-skills vs taste-skill: tale of the tape

GitHub data as of November 11, 2026

agent-skills and taste-skill have about the same number of GitHub stars (115,572 vs 113,255). In the last 6 days, taste-skill gained more stars: +2,876 (+2.6%) against +2,174 (+1.9%) for agent-skills. agent-skills saw more development in the last 52 weeks with 506 commits, against 269 for taste-skill. agent-skills is the older project (created February 2026), taste-skill started in February 2026. Both are written mainly in JavaScript.

addyosmani/agent-skillsLeonxlnx/taste-skill
Stars115,572113,255
Stars gained, last 6 days+2,174+2,876
Growth, last 6 days+1.9%+2.6%
Avg. stars per day since creation430427
Forks12,1197,623
Commits, last 52 weeks506269
Open issues1335
Best Repocharts rank today#12 in JavaScript#13 in JavaScript
LanguageJavaScriptJavaScript
LicenseMITMIT
CreatedFeb 15, 2026Feb 19, 2026
Last pushNov 1, 2026Nov 8, 2026

Quick answers

Which is more popular, agent-skills or taste-skill?

agent-skills and taste-skill have about the same number of GitHub stars (115,572 vs 113,255) (Repocharts data as of November 11, 2026).

Which is growing faster, agent-skills or taste-skill?

In the last 6 days, taste-skill gained more stars: +2,876 (+2.6%) against +2,174 (+1.9%) for agent-skills.

Which is more actively developed?

agent-skills saw more development in the last 52 weeks with 506 commits, against 269 for taste-skill.

What languages are agent-skills and taste-skill written in?

Both are written mainly in JavaScript.

How does RepoClash compare agent-skills and taste-skill?

RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.

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