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
Machine Learning Interview is the strongest overall pick here because it has a 80/100 readiness score and fits Coding agents.
Strongest overall
Machine Learning Interview
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Machine Learning Interview
Best first install candidate based on install readiness and adoption.
Freshest repo
Machine Learning Interview
Most recent maintenance signal among this shortlist.
| Signal | Machine Learning Interview Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io. |
|---|---|
| Quality | 78/100 Strong |
| Decision verdict | 80/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 13K stars 0 installs |
| Freshness | Aug 31, 2023 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add khangich/machine-learning-interview |