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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

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Streamlit is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.

Strongest overall

Streamlit

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

Fastest prototype

Streamlit

Best first install candidate based on install readiness and adoption.

Freshest repo

Streamlit

Most recent maintenance signal among this shortlist.

SignalPyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

Pycm

Multi-class confusion matrix library in Python

Streamlit

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

Statsmodels

Statsmodels: statistical modeling and econometrics in Python

Quality
100/100
Excellent
97/100
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.

Adoption2.0K stars
0 installs
1.5K stars
0 installs
45K stars
0 installs
11K stars
0 installs
FreshnessJun 9, 2026Jun 12, 2026Jun 14, 2026Jun 12, 2026
Use-case fit
Workflow automationGitHub automationData analysis
GitHub automationData analysisCoding agents
Data analysisGitHub automationCoding agents
Data analysisCoding agentsSports analytics
Stack fit
Content growth agentCoding review agent
Coding review agentContent growth agent
Content growth agentCoding review agent
Coding review agentContent growth agent
Platform hintsPython, Data Analysis, Claude CodePython, Data Analysis, Claude CodePython, Data Analysis, Claude CodePython, Data Analysis, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forWorkflow automation workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub 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 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 WenjieDu/PyPOTS
$ npx skills add sepandhaghighi/pycm
$ npx skills add streamlit/streamlit
$ npx skills add statsmodels/statsmodels