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 | patentradar 专利侵权竞品分析 skill。输入专利公开号（CN/US/EP/JP 等），输出可人工复核的 markdown 竞品分析报告。工作流：拆解权利要求 → 搜索市场竞品 → 抓证据（含图像）→ 全部权利要求逐特征对比 → 生成报告。触发词：专利侵权分析、专利竞品、claim chart、专利公开号、CN/US/EP/JP 专利号、专利对比、技术特征对比、专利保护范围、侵权风险评估。不适用：专利申请文书撰写、专利无效宣告、知识产权法律咨询、专利诉讼策略。 | Airflow Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | Superset Apache Superset is a Data Visualization and Data Exploration Platform | 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 | 59/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 58/100 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 | 59 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 |
| 33K stars Verified outcomes are shown on each skill page |
| Freshness | Aug 29, 2026 | Aug 25, 2026 | Sep 10, 2026 | Aug 13, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | Python, ETL, Claude Code | TypeScript, BI, Claude Code | Python, Data Analysis, Claude Code, OpenAI Agents, Cursor |
| Warnings | Repository license is unknown; no explicit license file or declaration found in the provided files. · 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 · 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 · 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 yuc16/PatentRadar --skill patentradar | $ npx skills add apache/airflow | $ npx skills add apache/superset | $ npx skills add K-Dense-AI/scientific-agent-skills |