Star0

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

Ray is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

Ray

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

Fastest prototype

Ray

Best first install candidate based on install readiness and adoption.

Freshest repo

Ray

Most recent maintenance signal among this shortlist.

SignalH2o 3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Autogluon

Fast and Accurate ML in 3 Lines of Code

FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption7.5K stars
0 installs
10K stars
0 installs
4.4K stars
0 installs
43K stars
0 installs
FreshnessJun 16, 2026Jun 15, 2026Jun 15, 2026Jun 16, 2026
Use-case fit
RAG and knowledgeSports analyticsGitHub automation
Coding agentsGitHub automationRAG and knowledge
GitHub automationCoding agentsRAG and knowledge
RAG and knowledgeGitHub automationCoding agents
Stack fit
RAG knowledge baseContent growth agent
Coding review agentContent growth agent
Content growth agentCoding review agent
RAG knowledge baseContent growth agent
Platform hintsJupyter Notebook, Machine Learning, Claude CodePython, Machine Learning, Claude CodeJupyter Notebook, Machine Learning, Claude CodePython, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge 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 signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams 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 reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
0 views
0 install copies
0 views
0 install copies
0 views
0 install copies
Install
$ npx skills add h2oai/h2o-3
$ npx skills add autogluon/autogluon
$ npx skills add microsoft/FLAML
$ npx skills add ray-project/ray