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.

SignalDeepnote

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

Streamlit

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

Data Science For Beginners

10 Weeks, 20 Lessons, Data Science for All!

Reflex

🕸️ Web apps in pure Python 🐍

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.

Adoption2.9K stars
Verified outcomes are shown on each skill page
45K stars
Verified outcomes are shown on each skill page
36K stars
Verified outcomes are shown on each skill page
29K stars
Verified outcomes are shown on each skill page
FreshnessJun 13, 2026Jun 14, 2026Jun 10, 2026Jun 13, 2026
Use-case fit
Workflow fit
Platform hintsTypeScript, Data Visualization, Claude CodePython, Data Analysis, Claude CodeJupyter Notebook, Data Analysis, Claude CodePython, Data Analysis, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forWorkflow 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 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 deepnote/deepnote
$ npx skills add streamlit/streamlit
$ npx skills add microsoft/Data-Science-For-Beginners
$ npx skills add reflex-dev/reflex