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

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

Strongest overall

Pytorch Lightning

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

Fastest prototype

Pytorch Lightning

Best first install candidate based on install readiness and adoption.

Freshest repo

Xgboost

Most recent maintenance signal among this shortlist.

SignalDest

:panda_face: One Millisecond Deformable Shape Tracking Library (DEST)

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

Ggml

Tensor library for machine learning

Pytorch Lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Quality
51/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
41/100
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.

Adoption292 stars
Verified outcomes are shown on each skill page
28K stars
Verified outcomes are shown on each skill page
15K stars
Verified outcomes are shown on each skill page
31K stars
Verified outcomes are shown on each skill page
FreshnessDec 29, 2016Jun 16, 2026Jun 15, 2026Jun 10, 2026
Use-case fit
Workflow fit
Platform hintsC++, Machine Learning, Claude CodeC++, Machine Learning, Claude CodeC++, Machine Learning, Claude CodePython, 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 forSports analytics workflows · Claude Code teams · builders willing to evaluate younger projectsSports 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 cheind/dest
$ npx skills add dmlc/xgboost
$ npx skills add ggml-org/ggml
$ npx skills add Lightning-AI/pytorch-lightning