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
Gamma World is the strongest overall pick here because it has a 88/100 readiness score and fits Sports analytics.
Strongest overall
Gamma World
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Gamma World
Best first install candidate based on install readiness and adoption.
Freshest repo
Gamma World
Most recent maintenance signal among this shortlist.
| Signal | Gamma World Implementation of Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players |
|---|---|
| Quality | 77/100 Strong |
| Decision verdict | 88/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 609 stars 0 installs |
| Freshness | May 28, 2026 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Multi-Agent, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Sports analytics 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add nv-tlabs/Gamma-World |