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 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

Add more skills

Decision summary

ML For Beginners is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.

Strongest overall

ML For Beginners

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

ML For Beginners

Best first install candidate based on install readiness and adoption.

Freshest repo

Ludwig

Most recent maintenance signal among this shortlist.

SignalRaspberryturk

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

Ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

Autogluon

Fast and Accurate ML in 3 Lines of Code

ML For Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Quality
49/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
39/100
Needs manual review

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

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption193 stars
0 installs
12K stars
0 installs
10K stars
0 installs
87K stars
0 installs
FreshnessMay 31, 2023Jun 15, 2026Jun 15, 2026Jun 9, 2026
Use-case fit
Stack fit
Platform hintsJupyter Notebook, Computer Vision, Claude CodePython, Machine Learning, Claude CodePython, Machine Learning, Claude CodeJupyter Notebook, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · builders willing to evaluate younger projectsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
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Install
$ npx skills add joeymeyer/raspberryturk
$ npx skills add ludwig-ai/ludwig
$ npx skills add autogluon/autogluon
$ npx skills add microsoft/ML-For-Beginners