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

D3 is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.

Strongest overall

D3

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

Fastest prototype

D3

Best first install candidate based on install readiness and adoption.

Freshest repo

buffer-analytics

Most recent maintenance signal among this shortlist.

Signalbuffer-analytics

Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL.

D3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

Echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser

Data Science For Beginners

10 Weeks, 20 Lessons, Data Science for All!

Quality
59/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
58/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

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.

Adoption16 stars
Verified outcomes are shown on each skill page
113K stars
Verified outcomes are shown on each skill page
67K stars
Verified outcomes are shown on each skill page
36K stars
Verified outcomes are shown on each skill page
FreshnessAug 23, 2026May 28, 2026Jun 2, 2026Jun 10, 2026
Use-case fit
Workflow fit
Platform hintsClaude CodeShell, Data Visualization, Claude CodeTypeScript, Data Visualization, Claude Code, Browser agentsJupyter Notebook, Data Analysis, Claude Code
WarningsLow GitHub adoption signal · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forDatabase and SQL workflows · Claude Code teams · builders willing to evaluate younger projectsData 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 · 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 danicat/skills --skill buffer-analytics
$ npx skills add d3/d3
$ npx skills add apache/echarts
$ npx skills add microsoft/Data-Science-For-Beginners