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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

PixelCNN is the strongest overall pick here because it has a 38/100 readiness score and fits Design and creative.

Strongest overall

PixelCNN

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

Fastest prototype

PixelCNN

Best first install candidate based on install readiness and adoption.

Freshest repo

PixelCNN

Most recent maintenance signal among this shortlist.

SignalPixelCNN

Theano reimplementation of pixelCNN architecture

Quality
48/100
Needs review
Decision verdict
38/100
Needs manual review

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

Adoption166 stars
0 installs
FreshnessJul 23, 2016
Use-case fit
Design and creativeCoding agentsRAG and knowledge
Stack fit
Content growth agentFrontend and UI
Platform hintsPython, Image Generation, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forDesign and creative workflows · Claude Code teams · builders willing to evaluate younger projects
OpenAgentSkill

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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PrivacyBuilt for agent-native discovery
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add kundan2510/pixelCNN