{
  "name": "ai-rag",
  "version": "1.0.0",
  "description": "Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented generation and semantic search.",
  "author": "local",
  "license": "MIT",
  "tools": [],
  "trigger_phrases": [],
  "compatible_agents": [
    "aiden"
  ],
  "min_agent_version": "3.0.0",
  "tags": [
    "web",
    "code",
    "files",
    "finance"
  ],
  "created": "2026-04-27T17:11:47.317Z"
}