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

Docker Stacks

Most recent maintenance signal among this shortlist.

SignalIpython

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

Docker Stacks

Ready-to-run Docker images containing Jupyter applications

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
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption17K stars
Verified outcomes are shown on each skill page
8.4K 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
FreshnessJun 15, 2026Jun 20, 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
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forGitHub automation 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 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 reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add ipython/ipython
$ npx skills add jupyter/docker-stacks
$ npx skills add jupyter/notebook
$ npx skills add pandas-dev/pandas