Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
LightGBM is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.
Strongest overall
LightGBM
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
LightGBM
Best first install candidate based on install readiness and adoption.
Freshest repo
Catboost
Most recent maintenance signal among this shortlist.
| Signal | Catboost A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. | Pyod A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents. | Sktime A unified framework for machine learning with time series | LightGBM A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. |
|---|---|---|---|---|
| Quality | 100/100 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. |
| Adoption | 9.0K stars Verified outcomes are shown on each skill page | 9.9K stars Verified outcomes are shown on each skill page | 9.8K stars Verified outcomes are shown on each skill page | 18K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 12, 2026 | Jun 5, 2026 | Jun 11, 2026 | Jun 9, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | C++, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | C++, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation 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 need a vendor-supported SLA · high-compliance environments without internal security 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 catboost/catboost | $ npx skills add yzhao062/pyod | $ npx skills add sktime/sktime | $ npx skills add lightgbm-org/LightGBM |