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
Matplotlib is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Matplotlib
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Matplotlib
Best first install candidate based on install readiness and adoption.
Freshest repo
Matplotlib
Most recent maintenance signal among this shortlist.
| Signal | Mercury The fastest way to turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite. | Matplotlib matplotlib: plotting with Python | Seaborn Statistical data visualization in Python | Deepnote Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/ |
|---|---|---|---|---|
| Quality | 100/100 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 | 4.3K stars 0 installs | 23K stars 0 installs | 14K stars 0 installs | 2.9K stars 0 installs |
| Freshness | Jun 12, 2026 | Jun 16, 2026 | Jan 22, 2026 | Jun 13, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Data Visualization, Claude Code | Python, Data Visualization, Claude Code | Python, Data Visualization, Claude Code | TypeScript, Data Visualization, Claude Code |
| 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 | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation 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 mljar/mercury | $ npx skills add matplotlib/matplotlib | $ npx skills add mwaskom/seaborn | $ npx skills add deepnote/deepnote |