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taste-skill vs archify

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

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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
tt-a1i/archify: 95,532 stars, JavaScript. Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more.

taste-skill vs archify: tale of the tape

GitHub data as of November 11, 2026

taste-skill has 1.2 times as many GitHub stars as archify (113,255 vs 95,532). In the last 6 days, taste-skill gained more stars: +2,876 (+2.6%) against +1,811 (+1.9%) for archify. archify saw more development in the last 52 weeks with 1,196 commits, against 269 for taste-skill. taste-skill is the older project (created February 2026), archify started in April 2026. Both are written mainly in JavaScript.

Leonxlnx/taste-skilltt-a1i/archify
Stars113,25595,532
Stars gained, last 6 days+2,876+1,811
Growth, last 6 days+2.6%+1.9%
Avg. stars per day since creation427455
Forks7,6236,526
Commits, last 52 weeks2691,196
Open issues5368
Best Repocharts rank today#13 in JavaScript#5 in Dev Tools
LanguageJavaScriptJavaScript
LicenseMITApache-2.0
CreatedFeb 19, 2026Apr 15, 2026
Last pushNov 8, 2026Nov 11, 2026

Quick answers

Which is more popular, taste-skill or archify?

taste-skill has 1.2 times as many GitHub stars as archify (113,255 vs 95,532) (Repocharts data as of November 11, 2026).

Which is growing faster, taste-skill or archify?

In the last 6 days, taste-skill gained more stars: +2,876 (+2.6%) against +1,811 (+1.9%) for archify.

Which is more actively developed?

archify saw more development in the last 52 weeks with 1,196 commits, against 269 for taste-skill.

What languages are taste-skill and archify written in?

Both are written mainly in JavaScript.

How does RepoClash compare taste-skill and archify?

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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