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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

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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

Pandas

Most recent maintenance signal among this shortlist.

SignalVbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Imbalanced Learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

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

Streamlit

Streamlit — A faster way to build and share data apps.

Quality
50/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
40/100
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.

Adoption232 stars
0 installs
7.1K stars
0 installs
49K stars
0 installs
45K stars
0 installs
FreshnessMay 3, 2023Jun 7, 2026Jun 14, 2026Jun 14, 2026
Use-case fit
Data analysisCoding agentsRAG and knowledge
GitHub automationData analysisCoding agents
Data analysisGitHub automationCoding agents
Data analysisGitHub automationCoding agents
Stack fit
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Platform hintsMATLAB, Data Analysis, Claude CodePython, Data Analysis, Claude CodePython, Data Analysis, 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 · builders willing to evaluate younger projectsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsData analysis 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 acerbilab/vbmc
$ npx skills add scikit-learn-contrib/imbalanced-learn
$ npx skills add pandas-dev/pandas
$ npx skills add streamlit/streamlit