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
Ipython
Most recent maintenance signal among this shortlist.
| Signal | Scipy 2017 Cython Tutorial Material for the SciPy 2017 Cython tutorial | Ipython Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc. | Streamlit Streamlit — A faster way to build and share data apps. | 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 | 43/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 33/100 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 | 141 stars Verified outcomes are shown on each skill page | 17K stars Verified outcomes are shown on each skill page | 45K stars Verified outcomes are shown on each skill page | 49K stars Verified outcomes are shown on each skill page |
| Freshness | Jul 12, 2017 | Jun 15, 2026 | Jun 14, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Notebook, Claude Code | Python, Notebook, 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 | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects | Coding agents 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 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 kwmsmith/scipy-2017-cython-tutorial | $ npx skills add ipython/ipython | $ npx skills add streamlit/streamlit | $ npx skills add pandas-dev/pandas |