This lets you create agents that actually learn and adapt over time instead of staying locked in their initial configuration. You get five core operations: spin up new agents with learning parameters, monitor how they're adapting, check performance metrics like efficiency and accuracy, manually trigger adaptations based on feedback, and share learned knowledge across multiple agents. The knowledge sharing piece is interesting because it means insights from one agent can propagate to others. Worth considering if you're running multiple agents and want them to get better at their jobs without constant manual reconfiguration.
npx skills add https://github.com/ruvnet/ruflo --skill daa-agent