{
  "name": "Agent Prompt Evolution",
  "version": "1.0.0",
  "description": "Track and optimize agent specialization during methodology development. Use when agent specialization emerges (generic agents show >5x performance gap), multi-experiment comparison needed, or methodology transferability analysis required. Captures agent set evolution (Aₙ tracking), meta-agent evolution (Mₙ tracking), specialization decisions (when/why to create specialized agents), and reusability assessment (universal vs domain-specific vs task-specific). Enables systematic cross-experiment learning and optimized M₀ evolution. 2-3 hours overhead per experiment.",
  "author": "local",
  "license": "MIT",
  "tools": [],
  "trigger_phrases": [],
  "compatible_agents": [
    "aiden"
  ],
  "min_agent_version": "3.0.0",
  "tags": [
    "code",
    "finance"
  ],
  "created": "2026-04-27T17:11:42.094Z"
}