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

n8n is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.

Strongest overall

n8n

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

Fastest prototype

n8n

Best first install candidate based on install readiness and adoption.

Freshest repo

upgrade-cleanup

Most recent maintenance signal among this shortlist.

Signal	upgrade-cleanup Clean up after (or abandon) a Rails upgrade. Drop NextRails.next? and NextRails.current? branches and retire dual-boot scaffolding (Gemfile.next, Gemfile.next.lock, conditional Gemfile groups), keeping either the next or the current version. Trigger when the user says they are done with the upgrade, want to clean up dual-boot, want to drop NextRails branches, want to finish the upgrade, want to abandon or revert the upgrade attempt, want to roll back to the current Rails version, or want to pause this upgrade hop. Based on FastRuby.io's "Finishing an Upgrade" methodology, extended with an abandon/pause path.	UI-TARS Desktop Run multimodal agents that operate desktop interfaces	n8n Connect agents to hundreds of workflow automations	MoneyPrinterTurbo 利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Quality	72/100 Strong	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	71/100 Prototype first Prototype with this skill first; keep a fallback candidate ready.	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	381 stars Verified outcomes are shown on each skill page	37K stars Verified outcomes are shown on each skill page	194K stars Verified outcomes are shown on each skill page