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.

Add more skills

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.

SignalHacktoberfest

Make your first PR! ~ A beginner friendly repository made specifically for open source beginners. Add any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure you add the program under the correct language directory. Happy coding

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

Librephotos

A self-hosted open source photo management service.

Ggml

Tensor library for machine learning

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.

Adoption299 stars
Verified outcomes are shown on each skill page
28K stars
Verified outcomes are shown on each skill page
8.0K stars
Verified outcomes are shown on each skill page
15K stars
Verified outcomes are shown on each skill page
FreshnessJun 19, 2024Jun 16, 2026Jun 15, 2026Jun 15, 2026
Use-case fit
Workflow fit
Platform hintsC++, Machine Learning, Claude CodeC++, Machine Learning, Claude CodePython, Machine 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 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 shivaylamba/Hacktoberfest
$ npx skills add dmlc/xgboost
$ npx skills add LibrePhotos/librephotos
$ npx skills add ggml-org/ggml