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

Xgboost

Best first install candidate based on install readiness and adoption.

Freshest repo

Xgboost

Most recent maintenance signal among this shortlist.

SignalRbdl

RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.

Xgboost

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

AutoHotkey

AutoHotkey - macro-creation and automation-oriented scripting utility for Windows.

Ggml

Tensor library for machine learning

Quality
50/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
52/100
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.

Adoption698 stars
0 installs
28K stars
0 installs
13K stars
0 installs
15K stars
0 installs
FreshnessJun 9, 2025Jun 16, 2026May 17, 2026Jun 15, 2026
Use-case fit
Workflow fit
Platform hintsC++, Robotics, Claude CodeC++, Machine Learning, Claude CodeC++, Automation, Claude CodeC++, 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 · teams that value GitHub adoption signalsSports analytics 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 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
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Install
$ npx skills add rbdl/rbdl
$ npx skills add dmlc/xgboost
$ npx skills add AutoHotkey/AutoHotkey
$ npx skills add ggml-org/ggml