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
Data Science For Beginners is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Data Science For Beginners
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Data Science For Beginners
Best first install candidate based on install readiness and adoption.
Freshest repo
Notebook
Most recent maintenance signal among this shortlist.
| Signal | Ipyexperiments Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers | Notebook Jupyter Interactive Notebook | Ipython Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc. | Data Science For Beginners 10 Weeks, 20 Lessons, Data Science for All! |
|---|---|---|---|---|
| Quality | 45/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 35/100 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 | 234 stars Verified outcomes are shown on each skill page | 13K stars Verified outcomes are shown on each skill page | 17K stars Verified outcomes are shown on each skill page | 36K stars Verified outcomes are shown on each skill page |
| Freshness | Dec 15, 2023 | Jun 19, 2026 | Jun 15, 2026 | Jun 10, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Notebook, Claude Code | Jupyter Notebook, Notebook, Claude Code | Python, Notebook, Claude Code | Jupyter Notebook, 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 | Coding agents 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 stas00/ipyexperiments | $ npx skills add jupyter/notebook | $ npx skills add ipython/ipython | $ npx skills add microsoft/Data-Science-For-Beginners |