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
Sktime
Most recent maintenance signal among this shortlist.
| Signal | Snorkel A system for quickly generating training data with weak supervision | Cookiecutter Data Science A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. | Darts A python library for user-friendly forecasting and anomaly detection on time series. | Sktime A unified framework for machine learning with time series |
|---|---|---|---|---|
| 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 | 6.0K stars 0 installs | 9.9K stars 0 installs | 9.4K stars 0 installs | 9.8K stars 0 installs |
| Freshness | Jun 8, 2026 | Apr 9, 2026 | Jun 6, 2026 | Jun 11, 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 | Sports analytics 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 | 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 | 2 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add snorkel-team/snorkel | $ npx skills add drivendataorg/cookiecutter-data-science | $ npx skills add unit8co/darts | $ npx skills add sktime/sktime |