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

Xgboost is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.

Strongest overall

Xgboost

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

Fastest prototype

Caffe

Best first install candidate based on install readiness and adoption.

Freshest repo

Xgboost

Most recent maintenance signal among this shortlist.

SignalXgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Ggml

Tensor library for machine learning

Caffe

Caffe: a fast open framework for deep learning.

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
82/100
Strong
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.

84/100
Production-ready

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

Adoption28K stars
0 installs
18K stars
0 installs
15K stars
0 installs
35K stars
0 installs
FreshnessJun 16, 2026Jun 9, 2026Jun 15, 2026Jul 31, 2024
Use-case fit
Stack fit
Platform hintsC++, Machine Learning, Claude CodeC++, Machine Learning, Claude CodeC++, Machine Learning, Claude CodeC++, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetRepository looks stale · No OpenAgentSkill engagement data yet
Best forSports analytics workflows · Claude Code teams · teams that value GitHub adoption signalsWorkflow automation workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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 require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
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Install
$ npx skills add dmlc/xgboost
$ npx skills add lightgbm-org/LightGBM
$ npx skills add ggml-org/ggml
$ npx skills add BVLC/caffe