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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

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Decision summary

Deepfillv2 Pytorch is the strongest overall pick here because it has a 72/100 readiness score and fits Coding agents.

Strongest overall

Deepfillv2 Pytorch

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

Fastest prototype

Deepfillv2 Pytorch

Best first install candidate based on install readiness and adoption.

Freshest repo

Deepfillv2 Pytorch

Most recent maintenance signal among this shortlist.

SignalDeepfillv2 Pytorch

🖼️🎨 A PyTorch reimplementation of the paper Free-Form Image Inpainting with Gated Convolution (DeepFill v2) (https://arxiv.org/abs/1806.03589)

Quality
73/100
Strong
Decision verdict
72/100
Strong shortlist

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

Adoption220 stars
0 installs
FreshnessJun 14, 2026
Use-case fit
Coding agentsRAG and knowledgeBrowser automation
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, Computer Vision, Claude Code
WarningsNo 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 need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add nipponjo/deepfillv2-pytorch