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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 1 skill

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

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Decision summary

Ad Papers is the strongest overall pick here because it has a 79/100 readiness score and fits Sports analytics.

Strongest overall

Ad Papers

Shortlist this skill and compare it with close alternatives before production adoption.

Fastest prototype

Ad Papers

Best first install candidate based on install readiness and adoption.

Freshest repo

Ad Papers

Most recent maintenance signal among this shortlist.

SignalAd Papers

Papers on Computational Advertising

Quality
77/100
Strong
Decision verdict
79/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

Adoption4.4K stars
0 installs
FreshnessFeb 9, 2021
Use-case fit
Sports analyticsCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forSports analytics workflows · Claude Code teams · teams that value GitHub adoption signals
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add wzhe06/Ad-papers