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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

CRNN With STN is the strongest overall pick here because it has a 31/100 readiness score and fits Document processing.

Strongest overall

CRNN With STN

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

Fastest prototype

CRNN With STN

Best first install candidate based on install readiness and adoption.

Freshest repo

CRNN With STN

Most recent maintenance signal among this shortlist.

SignalCRNN With STN

implement CRNN in Keras with Spatial Transformer Network

Quality
41/100
Needs review
Decision verdict
31/100
Needs manual review

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

Adoption100 stars
0 installs
FreshnessMay 31, 2019
Use-case fit
Document processingCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsPython, OCR, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forDocument processing 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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
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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 sbillburg/CRNN-with-STN