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 | 数据处理器 数据处理与分析技能。当用户需要对知识库检索结果进行数据分析、统计计算、格式转换、数据提取或生成报告时使用此技能。支持 Python 脚本执行进行高级数据处理。 | 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 | 63/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 62/100 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 | 85 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 19, 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 | SKILL.md 中技能名称使用中文“数据处理器”,而仓库路径为 data-processor,示例中又出现 data-processor,存在命名不一致。 · 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 Arterning/DeepParseX --skill 数据处理器 | $ npx skills add apache/airflow | $ npx skills add apache/superset | $ npx skills add K-Dense-AI/scientific-agent-skills |