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

Recommenders is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.

Strongest overall

Recommenders

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

Fastest prototype

Recommenders

Best first install candidate based on install readiness and adoption.

Freshest repo

Pipelines

Most recent maintenance signal among this shortlist.

SignalDiffgram

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Recommenders

Best Practices on Recommendation Systems

Pipelines

Machine Learning Pipelines for Kubeflow

Mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

Quality
99/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption1.9K stars
0 installs
22K stars
0 installs
4.2K stars
0 installs
1.7K stars
0 installs
FreshnessJun 12, 2026Jun 14, 2026Jun 16, 2026Jun 15, 2026
Use-case fit
Stack fit
Platform hintsPython, Kubernetes, Claude CodePython, Kubernetes, Claude CodePython, Kubernetes, Claude CodePython, Kubernetes, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forSports analytics workflows · Claude Code teams · teams that value GitHub adoption signalsSports analytics workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsBrowser automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams 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 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 diffgram/diffgram
$ npx skills add recommenders-team/recommenders
$ npx skills add kubeflow/pipelines
$ npx skills add mlrun/mlrun