Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
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
MonetDB
Most recent maintenance signal among this shortlist.
| Signal | MonetDB This is the official mirror of the MonetDB Mercurial repository. Please note that we do not accept pull requests on github. The regression test results can be found on the MonetDB Testweb https://www.monetdb.org/testweb/web/status.php .For contributions please see: https://www.monetdb.org/documentation/dev-guide/ | 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 | 78/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 77/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 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. |
| Adoption | 471 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 |
| Freshness | Jun 20, 2026 | May 28, 2026 | Jun 2, 2026 | Jun 10, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | C, SQL, Claude Code | Shell, Data Visualization, Claude Code | TypeScript, Data Visualization, Claude Code, Browser agents | Jupyter Notebook, Data Analysis, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add MonetDB/MonetDB | $ npx skills add d3/d3 | $ npx skills add apache/echarts | $ npx skills add microsoft/Data-Science-For-Beginners |