What problem does it solve?
Static agents keep fixed behavior regardless of outcomes, so they never improve with use. This Skill creates Dynamic Agentic Architecture (DAA) agents that adapt their behavior based on performance metrics, learn continuously from interactions, and share knowledge with other agents.
Core Features & Use Cases
- Adaptive Agent Creation: Create DAA agents with initial configuration and learning parameters via the ruflo DAA MCP tools.
- Learning & Performance Monitoring: Track adaptation progress with learning status and inspect efficiency and accuracy through performance metrics.
- Manual Adaptation & Knowledge Sharing: Trigger adaptation based on feedback and propagate learnings across agents.
- Use Case: Deploy a support-triage agent that starts with a baseline configuration, monitors its accuracy metrics over time, adapts its routing behavior based on feedback, and shares what it learned with sibling agents handling related queues.
Quick Start
Create a DAA agent with learning enabled, then check its learning status and performance metrics to see how it adapts over time.