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 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
ML From Scratch is the strongest overall pick here because it has a 89/100 readiness score and fits GitHub automation.
Strongest overall
ML From Scratch
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
ML From Scratch
Best first install candidate based on install readiness and adoption.
Freshest repo
ML From Scratch
Most recent maintenance signal among this shortlist.
| Signal | ML From Scratch Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. |
|---|---|
| Quality | 87/100 Excellent |
| Decision verdict | 89/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 32K stars 0 installs |
| Freshness | Oct 15, 2023 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | GitHub automation 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add eriklindernoren/ML-From-Scratch |