Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Echarts is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Echarts
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Echarts
Best first install candidate based on install readiness and adoption.
Freshest repo
Scientific Agent Skills
Most recent maintenance signal among this shortlist.
| Signal | PyCirclize Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart) | Matplotlib matplotlib: plotting with Python | 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. | Echarts Apache ECharts is a powerful, interactive charting and data visualization library for browser |
|---|---|---|---|---|
| Quality | 96/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.1K stars Verified outcomes are shown on each skill page | 23K stars Verified outcomes are shown on each skill page | 33K stars Verified outcomes are shown on each skill page | 67K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 14, 2026 | Jun 16, 2026 | Aug 13, 2026 | Aug 4, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Data Visualization, Claude Code | Python, Data Visualization, Claude Code | Python, Data Analysis, Claude Code, OpenAI Agents, Cursor | TypeScript, Data Visualization, Claude Code, Browser agents |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Data analysis 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 | 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 moshi4/pyCirclize | $ npx skills add matplotlib/matplotlib | $ npx skills add K-Dense-AI/scientific-agent-skills | $ npx skills add apache/echarts |