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

Papers With Annotations is the strongest overall pick here because it has a 57/100 readiness score and fits RAG and knowledge.

Strongest overall

Papers With Annotations

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Papers With Annotations

Best first install candidate based on install readiness and adoption.

Freshest repo

Papers With Annotations

Most recent maintenance signal among this shortlist.

SignalPapers With Annotations

Research papers with annotations, illustrations and explanations

Quality
55/100
Promising
Decision verdict
57/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption826 stars
0 installs
FreshnessApr 10, 2021
Use-case fit
Stack fit
Platform hintsComputer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forRAG 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 Machine-Learning-Tokyo/papers-with-annotations