Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
Superset
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Superset
Best first install candidate based on install readiness and adoption.
Freshest repo
Superset
Most recent maintenance signal among this shortlist.
| Signal | Etl Engine etl engine 轻量级 跨平台 流批一体ETL引擎 数据抽取-转换-装载 ETL engine lightweight cross platform batch flow integration ETL engine data extraction transformation loading | Superset Apache Superset is a Data Visualization and Data Exploration Platform |
|---|---|---|
| Quality | 40/100 Needs review | 100/100 Excellent |
| Decision verdict | 30/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 78 stars Verified outcomes are shown on each skill page | 75K stars Verified outcomes are shown on each skill page |
| Freshness | Dec 1, 2024 | Sep 10, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Go, ETL, Claude Code | TypeScript, BI, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository 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 |
| Install | $ npx skills add hw2499/etl-engine | $ npx skills add apache/superset |