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
publishing
Most recent maintenance signal among this shortlist.
| Signal | publishing This skill should be used when the user asks to "self-publish", "publish my book", "ISBN", "copyright page", "book metadata", "BISAC", "keywords", "KDP", "IngramSpark", "Draft2Digital", "go wide", "Kindle Unlimited", "print interior", "trim size", "paperback", "ebook", "EPUB", "cover wrap", "spine width", "pricing", "launch plan", "ARC team", "advance readers", "newsletter", "reader magnet", "Amazon ads", "BookBub", "rights", "foreign rights", "audio rights", "film rights", "publishing contract", or wants to take a finished manuscript through production, distribution, launch, and rights management. It owns contracts and rights sales; NOT for permission to quote lyrics, epigraphs, or other material in the book (use editorial-review). | Superset Apache Superset is a Data Visualization and Data Exploration Platform | 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. |
|---|---|---|---|---|
| Quality | 65/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 64/100 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 | 243 stars Verified outcomes are shown on each skill page | 75K 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 |
| Freshness | Sep 25, 2026 | Sep 10, 2026 | Aug 25, 2026 | Aug 13, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | TypeScript, BI, Claude Code | Python, ETL, Claude Code | Python, Data Analysis, Claude Code, OpenAI Agents, Cursor |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Multimodal media workflows · Claude Code teams · builders willing to evaluate younger projects | Data analysis 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 |
| 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 danjdewhurst/story-skills --skill publishing | $ npx skills add apache/superset | $ npx skills add apache/airflow | $ npx skills add K-Dense-AI/scientific-agent-skills |