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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

Machinelearning Samples is the strongest overall pick here because it has a 79/100 readiness score and fits Coding agents.

Strongest overall

Machinelearning Samples

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

Fastest prototype

Machinelearning Samples

Best first install candidate based on install readiness and adoption.

Freshest repo

Machinelearning Samples

Most recent maintenance signal among this shortlist.

SignalMachinelearning Samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

Quality
77/100
Strong
Decision verdict
79/100
Strong shortlist

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

Adoption4.7K stars
0 installs
FreshnessJul 27, 2024
Use-case fit
Coding agentsRAG and knowledgeBrowser automation
Stack fit
Content growth agentCoding review agent
Platform hintsPowerShell, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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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
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 dotnet/machinelearning-samples