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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

Inpainting Gmcnn is the strongest overall pick here because it has a 43/100 readiness score and fits Coding agents.

Strongest overall

Inpainting Gmcnn

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

Fastest prototype

Inpainting Gmcnn

Best first install candidate based on install readiness and adoption.

Freshest repo

Inpainting Gmcnn

Most recent maintenance signal among this shortlist.

SignalInpainting Gmcnn

Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018

Quality
53/100
Needs review
Decision verdict
43/100
Needs manual review

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

Adoption435 stars
0 installs
FreshnessMar 1, 2022
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review 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
Coding agents 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 shepnerd/inpainting_gmcnn