{"slug":"alirezarezvani-rag-architect","source_name":"alirezarezvani/rag-architect","name":"Alirezarezvani/RAG Architect","description":"Use when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG). Examples: 'design a RAG system for our docs', 'what chunk size should I use for this corpus', 'evaluate my retriever against ground truth'. NOT for general LLM cost tuning (use llm-cost-optimizer) or agent loops over retrieval (use agenthub).","version":1,"lift":{"pass_rate_delta_pts":50,"pass_rate_pct":86.4,"total_cases":22,"passed_cases":19,"tokens_delta_pct":3.1,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-10T05:37:08.975831+00:00"},"skill_score":0.8636,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":50,"with_pass_pct":86.4,"without_pass_pct":36.4,"tokens_delta_pct":3.1,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":21,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-10T05:37:08.975831+00:00","run_id":"31682754-74a3-4160-82e5-14f4e0af254b","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"ab224205dc25501d29484afa49615ca2d6cef17fbfc20d3f56468804728669b1","raw_url":"https://app.decimal.ai/s/alirezarezvani-rag-architect/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/alirezarezvani-rag-architect"}