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
Scikit Learn is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Scikit Learn
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Scikit Learn
Best first install candidate based on install readiness and adoption.
Freshest repo
Scikit Learn
Most recent maintenance signal among this shortlist.
| Signal | Visualize ML Python package for consolidated and extensive Univariate,Bivariate Data Analysis and Visualization catering to both categorical and continuous datasets. | Pandas Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | Scikit Learn scikit-learn: machine learning in Python | Streamlit Streamlit — A faster way to build and share data apps. |
|---|---|---|---|---|
| Quality | 49/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 39/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 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 | 205 stars Verified outcomes are shown on each skill page | 49K stars Verified outcomes are shown on each skill page | 66K stars Verified outcomes are shown on each skill page | 45K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 28, 2016 | Jun 14, 2026 | Jun 17, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Data Analysis, Claude Code | Python, Data Analysis, Claude Code | Python, Data Analysis, Claude Code | Python, Data Analysis, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Data analysis workflows · Claude Code teams · builders willing to evaluate younger projects | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository 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 ayush1997/visualize_ML | $ npx skills add pandas-dev/pandas | $ npx skills add scikit-learn/scikit-learn | $ npx skills add streamlit/streamlit |