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.

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Decision summary

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

Strongest overall

Autogluon

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

Fastest prototype

Autogluon

Best first install candidate based on install readiness and adoption.

Freshest repo

H2o 3

Most recent maintenance signal among this shortlist.

Signal	FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.	Autogluon Fast and Accurate ML in 3 Lines of Code	H2o 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.	Pycaret Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
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.
Adoption	4.4K stars 0 installs	10K stars 0 installs	7.5K stars 0 installs	9.8K stars 0 installs
Freshness	Jun 15, 2026	Jun 15, 2026	Jun 16, 2026	Jun 12, 2026
Use-case fit	GitHub automation Coding agents RAG and knowledge	Coding agents GitHub automation RAG and knowledge	RAG and knowledge Sports analytics GitHub automation	Coding agents GitHub automation RAG and knowledge
Stack fit	Content growth agent Coding review agent	Coding review agent Content growth agent	RAG knowledge base Content growth agent	Coding review agent Content growth agent
Platform hints	Jupyter Notebook, Machine Learning, Claude Code	Python, Machine Learning, Claude Code	Jupyter Notebook, Machine Learning, Claude Code	Python, Machine Learning, Claude Code
Warnings	No OpenAgentSkill engagement data yet	No OpenAgentSkill engagement data yet	No OpenAgentSkill engagement data yet	No OpenAgentSkill engagement data yet
Best for	GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals	Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals	RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals	Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal for	teams that need a vendor-supported SLA · high-compliance environments without internal security review	teams that need a vendor-supported SLA · high-compliance environments without internal security review	teams that need a vendor-supported SLA · high-compliance environments without internal security review	teams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement	0 views 0 install copies	0 views 0 install copies	0 views 0 install copies	0 views 0 install copies
Install	`$ npx skills add microsoft/FLAML`	`$ npx skills add autogluon/autogluon`	`$ npx skills add h2oai/h2o-3`	`$ npx skills add pycaret/pycaret`