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 | Tensorflow Cookbook Code for Tensorflow Machine Learning Cookbook | 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 | AI For Beginners 12 Weeks, 24 Lessons, AI for All! | Handson Ml ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead. |
|---|---|---|---|---|
| Quality | 78/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 80/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 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 | 6.2K stars 0 installs | 6.1K stars 0 installs | 48K stars 0 installs | 26K stars 0 installs |
| Freshness | May 23, 2024 | Jun 12, 2026 | Jun 11, 2026 | May 19, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 |
| Not ideal for | 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 | 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 nfmcclure/tensorflow_cookbook | $ npx skills add timeseriesAI/tsai | $ npx skills add microsoft/AI-For-Beginners | $ npx skills add ageron/handson-ml |