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
cohort-analysis
Most recent maintenance signal among this shortlist.
| Signal | cohort-analysis Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends. | 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 | 86/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 97/100 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 | 26K 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 14, 2026 | Aug 25, 2026 | Sep 10, 2026 | Jun 17, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | 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 | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals | 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 phuryn/pm-skills --skill cohort-analysis | $ npx skills add apache/airflow | $ npx skills add apache/superset | $ npx skills add gradio-app/gradio |