Install any skill in seconds. Free to start, no credit card required.
Get Started Free →majiayu000/daa-agent
Create and adapt Dynamic Agentic Architecture agents that learn and evolve
4 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 6 comparable cases; this report requires 8.
A test case the skill fixed. Same model, same prompt, with and without the skill.
Explain the key architectural differences between a traditional static agent and a Dynamic Agentic Architecture agent regarding behavior and knowledge scope.
| Checked | Without skill | With skill |
|---|---|---|
| States that static agents have fixed configuration while DAA agents adapt over time. | Passed | Passed |
| States that static agents have isolated knowledge while DAA agents share knowledge. | Missed | Passed |
The instructions your model reads when the skill loads.
Create agents with Dynamic Agentic Architecture that adapt and learn over time.
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.
mcp__claude-flow__daa_agent_create with initial configuration and learning parametersmcp__claude-flow__daa_learning_status to see adaptation progressmcp__claude-flow__daa_performance_metrics for efficiency and accuracy metricsmcp__claude-flow__daa_agent_adapt to trigger manual adaptation based on feedbackmcp__claude-flow__daa_knowledge_share to propagate learnings to other 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 |
test cases passed with the skill
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.