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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

AI Paper Collector is the strongest overall pick here because it has a 73/100 readiness score and fits RAG and knowledge.

Strongest overall

AI Paper Collector

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

Fastest prototype

AI Paper Collector

Best first install candidate based on install readiness and adoption.

Freshest repo

AI Paper Collector

Most recent maintenance signal among this shortlist.

SignalAI Paper Collector

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

Quality
71/100
Strong
Decision verdict
73/100
Strong shortlist

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

Adoption1.2K stars
0 installs
FreshnessDec 16, 2023
Use-case fit
RAG and knowledgeCoding agentsWorkflow automation
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, Search, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add MLNLP-World/AI-Paper-Collector