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

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

Strongest overall

Data Juicer

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

Fastest prototype

Data Juicer

Best first install candidate based on install readiness and adoption.

Freshest repo

Data Juicer

Most recent maintenance signal among this shortlist.

SignalAuto Analyst

Open-source AI-powered data science platform.

Mito

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Deepnote

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/

Data Juicer

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Quality
80/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
91/100
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.

Adoption698 stars
0 installs
2.6K stars
0 installs
2.9K stars
0 installs
6.5K stars
0 installs
FreshnessApr 15, 2026Jun 11, 2026Jun 13, 2026Jun 15, 2026
Use-case fit
Stack fit
Platform hintsTypeScript, Data Visualization, Claude Code, OpenAI AgentsJupyter Notebook, Data Visualization, Claude CodeTypeScript, Data Visualization, 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 signalsData analysis workflows · Claude Code teams · teams that value GitHub adoption signalsWorkflow automation 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
OpenAgentSkill engagement0 views
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Install
$ npx skills add FireBird-Technologies/Auto-Analyst
$ npx skills add mito-ds/mito
$ npx skills add deepnote/deepnote
$ npx skills add datajuicer/data-juicer