Research any topic online and create comprehensive learning guides with RAG-optimized indexes for your AI agents. `/learn react hooks` searches the web for ~20 sources, scores each on a 100-point scale across authority (3x), recency (2x), depth (2x), examples (2x), and uniqueness (1x), fetches only high-scoring sources, and writes a synthesized guide to `agent-knowledge/<topic>.md` with companion `resources/<topic>-sources.json` containing full source metadata. Six-stage methodology: progressive discovery, quality scoring, just-in-time extraction, synthesis, source citation, RAG optimization. Output shape designed for ingestion by Claude Code, OpenCode, and Codex agent-knowledge libraries.