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 | ryot Complete Ryot media tracker with progress tracking, reviews, collections, analytics, calendar, and automated daily/weekly reports. Track TV shows, movies, books, anime, games with full GraphQL API integration. | Airflow Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | Scientific Agent Skills Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard. | Superset Apache Superset is a Data Visualization and Data Exploration Platform |
|---|---|---|---|---|
| Quality | 74/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 85/100 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 | 595 stars Verified outcomes are shown on each skill page | 47K stars Verified outcomes are shown on each skill page | 33K stars Verified outcomes are shown on each skill page |
| 75K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 1, 2026 | Aug 25, 2026 | Aug 13, 2026 | Sep 7, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | Python, ETL, Claude Code | Python, Data Analysis, Claude Code, OpenAI Agents, Cursor | TypeScript, BI, Claude Code |
| Warnings | SKILL.md states 'Use scripts/ryot_api.py for all Ryot operations' but then references multiple other scripts (ryot_reviews.py, ryot_collections.py, ryot_stats.py, ryot_calendar.py, ryot-mark-episodes.py) without clarifying when to use each. · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository 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 berabuddies/Semia --skill ryot | $ npx skills add apache/airflow | $ npx skills add K-Dense-AI/scientific-agent-skills | $ npx skills add apache/superset |