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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

Outpainting Srn is the strongest overall pick here because it has a 37/100 readiness score and fits RAG and knowledge.

Strongest overall

Outpainting Srn

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

Fastest prototype

Outpainting Srn

Best first install candidate based on install readiness and adoption.

Freshest repo

Outpainting Srn

Most recent maintenance signal among this shortlist.

SignalOutpainting Srn

Wide-Context Semantic Image Extrapolation, CVPR2019

Quality
47/100
Needs review
Decision verdict
37/100
Needs manual review

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

Adoption134 stars
0 installs
FreshnessSep 3, 2022
Use-case fit
RAG and knowledgeDesign and creativeCoding agents
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, Image Generation, 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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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
RAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add JIA-Lab-research/outpainting_srn