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 Flappy Bird is the strongest overall pick here because it has a 75/100 readiness score and fits GitHub automation.
Strongest overall
Machine Learning Flappy Bird
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Machine Learning Flappy Bird
Best first install candidate based on install readiness and adoption.
Freshest repo
Machine Learning Flappy Bird
Most recent maintenance signal among this shortlist.
| Signal | Machine Learning Flappy Bird Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm |
|---|---|
| Quality | 73/100 Strong |
| Decision verdict | 75/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 1.8K stars Verified outcomes are shown on each skill page |
| Freshness | Dec 19, 2017 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | JavaScript, 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 ssusnic/Machine-Learning-Flappy-Bird |