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
Cookiecutter Data Science is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Cookiecutter Data Science
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Cookiecutter Data Science
Best first install candidate based on install readiness and adoption.
Freshest repo
Pycaret
Most recent maintenance signal among this shortlist.
| Signal | Statsforecast Lightning ⚡️ fast forecasting with statistical and econometric models. | Pycaret Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane. | Cookiecutter Data Science A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. | 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. |
|---|---|---|---|---|
| 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 | 4.8K stars 0 installs | 9.8K stars 0 installs | 9.9K stars 0 installs | 9.9K stars 0 installs |
| Freshness | Jun 9, 2026 | Jun 12, 2026 | Apr 9, 2026 | Jun 5, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 |
| 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 | 1 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add Nixtla/statsforecast | $ npx skills add pycaret/pycaret | $ npx skills add drivendataorg/cookiecutter-data-science | $ npx skills add yzhao062/pyod |