Star200+

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

Caffe

Best first install candidate based on install readiness and adoption.

Freshest repo

Xgboost

Most recent maintenance signal among this shortlist.

SignalCaffe

Caffe: a fast open framework for deep learning.

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
82/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
84/100
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.

Adoption35K 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
FreshnessJul 31, 2024Jun 16, 2026Jun 15, 2026Jun 10, 2026
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Sports analyticsCoding agentsRAG and knowledge
Coding agentsRAG and knowledgeWorkflow automation
Coding agentsGitHub automationRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Coding review agentContent growth agent
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 forCoding agents 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 BVLC/caffe
$ npx skills add dmlc/xgboost
$ npx skills add ggml-org/ggml
$ npx skills add Lightning-AI/pytorch-lightning