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

Humanizer is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Humanizer

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

Fastest prototype

Humanizer

Best first install candidate based on install readiness and adoption.

Freshest repo

stop-slop

Most recent maintenance signal among this shortlist.

Signal	weekly-review Turns the week's calendar and inbox into a two-part review. What actually happened (wins, open loops), and a plan for the week ahead (three to five priorities, the risks, a calendar sanity check). Claude should use this skill when the user says "weekly review", "plan my week", "review my week", "what does my week look like", "Monday plan", "set me up for the week", or wants last week digested and next week planned. Reads Google Calendar or Microsoft 365 calendar, and Gmail. Optionally writes the finished plan to Notion, only after the user confirms.	Humanizer Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.	stop-slop Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.	no-ai-slop Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
Quality	55/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	54/100 Needs manual review Do a manual repository review before adding this to an agent workflow.	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	24 stars Verified outcomes are shown on each skill page	37K stars Verified outcomes are shown on each skill page	16K stars Verified outcomes are shown on each skill page