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
LLMs From Scratch is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
LLMs From Scratch
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
LLMs From Scratch
Best first install candidate based on install readiness and adoption.
Freshest repo
Featuretools
Most recent maintenance signal among this shortlist.
| Signal | FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP. | Autogluon Fast and Accurate ML in 3 Lines of Code | Featuretools An open source python library for automated feature engineering | LLMs From Scratch Implement a ChatGPT-like LLM in PyTorch from scratch, step by step |
|---|---|---|---|---|
| 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 | 4.4K stars Verified outcomes are shown on each skill page | 10K stars Verified outcomes are shown on each skill page | 7.7K stars Verified outcomes are shown on each skill page | 97K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 15, 2026 | Jun 15, 2026 | Jul 27, 2026 | Jun 2, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | GitHub automation 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 | GitHub 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 | 26 views 0 install copies |
| Install | $ npx skills add microsoft/FLAML | $ npx skills add autogluon/autogluon | $ npx skills add alteryx/featuretools | $ npx skills add rasbt/LLMs-from-scratch |