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
AI For Beginners is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
AI For Beginners
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
AI For Beginners
Best first install candidate based on install readiness and adoption.
Freshest repo
Tsai
Most recent maintenance signal among this shortlist.
| Signal | Leedl Tutorial 《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases | AI For Beginners 12 Weeks, 24 Lessons, AI for All! | DeepLearning 深度学习入门教程, 优秀文章, Deep Learning Tutorial | Tsai Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai |
|---|---|---|---|---|
| Quality | 92/100 Excellent | 100/100 Excellent | 84/100 Strong | 100/100 Excellent |
| Decision verdict | 94/100 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. | 86/100 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 | 17K stars 0 installs | 48K stars 0 installs | 18K stars 0 installs | 6.1K stars 0 installs |
| Freshness | Nov 23, 2025 | Jun 11, 2026 | Apr 21, 2022 | Jun 12, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code, OpenAI Agents | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 require actively maintained dependencies · production agents without a repository 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 datawhalechina/leedl-tutorial | $ npx skills add microsoft/AI-For-Beginners | $ npx skills add Mikoto10032/DeepLearning | $ npx skills add timeseriesAI/tsai |