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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

Computer Vision is the strongest overall pick here because it has a 50/100 readiness score and fits Coding agents.

Strongest overall

Computer Vision

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

Fastest prototype

Computer Vision

Best first install candidate based on install readiness and adoption.

Freshest repo

Computer Vision

Most recent maintenance signal among this shortlist.

SignalComputer Vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Quality
48/100
Needs review
Decision verdict
50/100
Needs manual review

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

Adoption508 stars
0 installs
FreshnessFeb 8, 2018
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best for
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
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add khanhnamle1994/computer-vision