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.

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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

Notebook

Most recent maintenance signal among this shortlist.

SignalGeonotebook

A Jupyter notebook extension for geospatial visualization and analysis

Ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Notebook

Jupyter Interactive Notebook

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
71/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
73/100
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.

Adoption1.1K stars
Verified outcomes are shown on each skill page
17K stars
Verified outcomes are shown on each skill page
13K stars
Verified outcomes are shown on each skill page
49K stars
Verified outcomes are shown on each skill page
FreshnessJan 21, 2019Jun 15, 2026Jun 19, 2026Jun 14, 2026
Use-case fit
Workflow fit
Platform hintsPython, Notebook, Claude CodePython, Notebook, Claude CodeJupyter Notebook, Notebook, Claude CodePython, Data Analysis, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forData analysis workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsData analysis workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add OpenGeoscience/geonotebook
$ npx skills add ipython/ipython
$ npx skills add jupyter/notebook
$ npx skills add pandas-dev/pandas