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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

Attention Ocr is the strongest overall pick here because it has a 73/100 readiness score and fits Document processing.

Strongest overall

Attention Ocr

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

Fastest prototype

Attention Ocr

Best first install candidate based on install readiness and adoption.

Freshest repo

Attention Ocr

Most recent maintenance signal among this shortlist.

SignalAttention Ocr

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Quality
71/100
Strong
Decision verdict
73/100
Strong shortlist

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

Adoption1.1K stars
0 installs
FreshnessOct 20, 2023
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 · teams that value GitHub adoption signals
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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OpenAgentSkill Registry
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 emedvedev/attention-ocr