About daa-agent
daa-agent is a skill for creating agents that adapt based on performance and interactions. It also supports tracking learning, manual adaptation, and sharing knowledge among agents.
Key features
- 01Create agents with learning settings
- 02Track adaptation progress
- 03Review efficiency and accuracy metrics
- 04Trigger adaptation from feedback
- 05Share knowledge across agents
Use cases
- 01Build agents whose behavior changes over time
- 02Inspect learning and performance
- 03Apply feedback through manual adaptation
- 04Propagate learnings between agents
MCP support
Uses Ruflo MCP tools to create agents, inspect learning and performance, trigger adaptation, and share knowledge.
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/daa-agentin Claude Code to confirm it loaded.
Details
From the project READMEDAA Agent
Create agents with Dynamic Agentic Architecture that adapt and learn over time.
When to use
When you need agents that go beyond static configurations — agents that adapt their behavior based on performance metrics, learn from interactions, and share knowledge with other agents.
Steps
- Create agent — call
mcp__plugin_ruflo-core_ruflo__daa_agent_createwith initial configuration and learning parameters - Monitor learning — call
mcp__plugin_ruflo-core_ruflo__daa_learning_statusto see adaptation progress - Check performance — call
mcp__plugin_ruflo-core_ruflo__daa_performance_metricsfor efficiency and accuracy metrics - Adapt — call
mcp__plugin_ruflo-core_ruflo__daa_agent_adaptto trigger manual adaptation based on feedback - Share knowledge — call
mcp__plugin_ruflo-core_ruflo__daa_knowledge_shareto propagate learnings to other agents
DAA vs static agents
| Aspect | Static Agent | DAA Agent |
|---|---|---|
| Behavior | Fixed configuration | Adapts over time |
| Learning | None | Continuous from interactions |
| Knowledge | Isolated | Shared across agents |
| Performance | Constant | Improves with use |
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