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
Pandas is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Pandas
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Pandas
Best first install candidate based on install readiness and adoption.
Freshest repo
Pandas
Most recent maintenance signal among this shortlist.
| Signal | Ps4ds Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises | Streamlit Streamlit — A faster way to build and share data apps. | Data Science For Beginners 10 Weeks, 20 Lessons, Data Science for All! | 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 |
|---|---|---|---|---|
| Quality | 70/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 81/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 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 | 595 stars Verified outcomes are shown on each skill page | 45K stars Verified outcomes are shown on each skill page | 36K stars Verified outcomes are shown on each skill page | 49K stars Verified outcomes are shown on each skill page |
| Freshness | Mar 23, 2026 | Jun 14, 2026 | Jun 10, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Data Analysis, Claude Code | Python, Data Analysis, Claude Code | Jupyter Notebook, Data Analysis, Claude Code | Python, Data Analysis, 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 | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis 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 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 cfgranda/ps4ds | $ npx skills add streamlit/streamlit | $ npx skills add microsoft/Data-Science-For-Beginners | $ npx skills add pandas-dev/pandas |