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 | univer-pro-integrate Integrate current Univer Pro features into browser applications. Use for licensed Sheets, Docs, Slides, Bases, Boards, or PDFs; advanced Sheets presets; collaboration and edit history; Office import/export; printing; pivot tables; charts; sparklines; shapes; Pro workers; license ordering; or Pro Facade APIs. | Airflow Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | Superset Apache Superset is a Data Visualization and Data Exploration Platform | Gradio Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! |
|---|---|---|---|---|
| Quality | 60/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 59/100 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. |
| Adoption | 65 stars Verified outcomes are shown on each skill page | 47K stars Verified outcomes are shown on each skill page | 75K stars Verified outcomes are shown on each skill page |
| 43K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 1, 2026 | Aug 25, 2026 | Sep 10, 2026 | Jun 17, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code, Browser agents | Python, ETL, Claude Code | TypeScript, BI, Claude Code | Python, 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 | Web scraping workflows · Claude Code teams · builders willing to evaluate younger projects | Workflow automation 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 dream-num/skills --skill univer-pro-integrate | $ npx skills add apache/airflow | $ npx skills add apache/superset | $ npx skills add gradio-app/gradio |