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.
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
Mlrun
Most recent maintenance signal among this shortlist.
| Signal | Metarank A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine | Recommenders Best Practices on Recommendation Systems | 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. | Determined Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow. |
|---|---|---|---|---|
| Quality | 87/100 Excellent | 100/100 Excellent | 100/100 Excellent | 75/100 Strong |
| Decision verdict | 89/100 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. | 77/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 2.4K stars 0 installs | 22K stars 0 installs | 1.7K stars 0 installs | 3.2K stars 0 installs |
| Freshness | Sep 24, 2025 | Jun 14, 2026 | Jun 15, 2026 | Mar 20, 2025 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Scala, Kubernetes, Claude Code | Python, Kubernetes, Claude Code | Python, Kubernetes, Claude Code | Go, Kubernetes, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Browser automation workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add metarank/metarank | $ npx skills add recommenders-team/recommenders | $ npx skills add mlrun/mlrun | $ npx skills add determined-ai/determined |