# Daa Agent

> Create and adapt Dynamic Agentic Architecture agents that learn and evolve

- Skill: `majiayu000/daa-agent` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/daa-agent`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/daa-agent/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/daa-agent

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# DAA 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

1. **Create agent** — call `mcp__claude-flow__daa_agent_create` with initial configuration and learning parameters
2. **Monitor learning** — call `mcp__claude-flow__daa_learning_status` to see adaptation progress
3. **Check performance** — call `mcp__claude-flow__daa_performance_metrics` for efficiency and accuracy metrics
4. **Adapt** — call `mcp__claude-flow__daa_agent_adapt` to trigger manual adaptation based on feedback
5. **Share knowledge** — call `mcp__claude-flow__daa_knowledge_share` to 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 |