Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Deepnote is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.
Strongest overall
Deepnote
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Deepnote
Best first install candidate based on install readiness and adoption.
Freshest repo
Rill
Most recent maintenance signal among this shortlist.
| Signal | Mito Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet | 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/ | Rill The fastest business intelligence tool for humans and agents. | Python This repository helps you learn Python and Machine Learning from scratch. |
|---|---|---|---|---|
| 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 | 2.6K stars 0 installs | 2.9K stars 0 installs | 2.7K stars 0 installs | 2.2K stars 0 installs |
| Freshness | Jun 11, 2026 | Jun 12, 2026 | Jun 12, 2026 | Jun 12, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, Data Visualization, Claude Code | TypeScript, Data Visualization, Claude Code | Go, Data Visualization, Claude Code | Jupyter Notebook, 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 | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 mito-ds/mito | $ npx skills add deepnote/deepnote | $ npx skills add rilldata/rill | $ npx skills add Tanu-N-Prabhu/Python |