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.
Decision summary
Data Science For Beginners is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Data Science For Beginners
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Data Science For Beginners
Best first install candidate based on install readiness and adoption.
Freshest repo
Lightdash
Most recent maintenance signal among this shortlist.
| Signal | ChatLab Local-first chat history analyzer with AI. | 本地优先的 AI 聊天记录分析工具 | Data Science For Beginners 10 Weeks, 20 Lessons, Data Science for All! | Lightdash Agentic BI. Analytics at the speed of code ⚡️ | Malloy Malloy is a modern open source language for describing data relationships and transformations. |
|---|---|---|---|---|
| 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. |
| Adoption | 6.7K stars 0 installs | 36K stars 0 installs | 5.9K stars 0 installs | 2.5K stars 0 installs |
| Freshness | Jun 14, 2026 | Jun 10, 2026 | Jun 15, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | TypeScript, Data Analysis, Claude Code | Jupyter Notebook, Data Analysis, Claude Code | TypeScript, BI, Claude Code | TypeScript, Data Visualization, Claude Code |
| Warnings | No major risk signals from current metadata | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge 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 | 3 views 0 install copies | 4 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add ChatLab/ChatLab | $ npx skills add microsoft/Data-Science-For-Beginners | $ npx skills add lightdash/lightdash | $ npx skills add malloydata/malloy |