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
DB Football is the strongest overall pick here because it has a 32/100 readiness score and fits Sports analytics.
Strongest overall
DB Football
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
DB Football
Best first install candidate based on install readiness and adoption.
Freshest repo
DB Football
Most recent maintenance signal among this shortlist.
| Signal | DB Football A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI. |
|---|---|
| Quality | 42/100 Needs review |
| Decision verdict | 32/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 116 stars 0 installs |
| Freshness | Jan 16, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Sports Data, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Sports analytics workflows · Claude Code teams · builders willing to evaluate younger projects |
| 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 Shanghai-Digital-Brain-Laboratory/DB-Football |