Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Last30days Skill is the strongest overall pick here because it has a 100/100 readiness score and fits Research agents.

Strongest overall

Last30days Skill

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Last30days Skill

Best first install candidate based on install readiness and adoption.

Freshest repo

Last30days Skill

Most recent maintenance signal among this shortlist.

Signal	Apple Design Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.	Last30days Skill Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.	Cli Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.	Marimo A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Quality	100/100 Excellent	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	34K stars Verified outcomes are shown on each skill page	62K stars Verified outcomes are shown on each skill page	17K stars