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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.

SignalCs229 2019 Summer

All notes and materials for the CS229: Machine Learning course by Stanford University

Data Science Interviews

Data science interview questions and answers

Nndl

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

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

Quality
46/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
36/100
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.

Adoption291 stars
0 installs
10K stars
0 installs
19K stars
0 installs
28K stars
0 installs
FreshnessAug 15, 2021Jun 1, 2026Jun 1, 2026Jun 16, 2026
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
GitHub automationCoding agentsRAG and knowledge
Coding agentsRAG and knowledgeBrowser automation
Sports analyticsCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Platform hintsHTML, Machine Learning, Claude CodeHTML, Machine Learning, Claude CodeMachine Learning, 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 forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projectsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsSports analytics 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
OpenAgentSkill engagement0 views
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Install
$ npx skills add maxim5/cs229-2019-summer
$ npx skills add alexeygrigorev/data-science-interviews
$ npx skills add nndl/nndl
$ npx skills add dmlc/xgboost