What problem does it solve? Raw search returns isolated pages, leaving you to manually reconcile conflicting information and spot missing knowledge across your gbrain knowledge base. This Skill runs multi-hop synthesis to produce a single cited answer, flagging where sources disagree and what the brain does not yet know. ## Core Features & Use Cases - Multi-hop synthesis: Searches the brain, reads top results, and composes an answer with inline citations to source pages. - Conflict and gap detection: Reports when sources disagree (e.g., different dates for the same event) and lists knowledge gaps for follow-up research. - Temporal and entity controls: Supports since/until time windows, entity anchoring, and multi-pass rounds for deeper research. - Use Case: Ask "What do we know about Kossan's expansion plans?" and receive a synthesized briefing with citations, a note that March and June sources conflict on the opening date, and gaps like missing staffing plans — then chain a web search and write findings back to the brain. ## Quick Start Ask the agent to use gbrain think to answer "What do we know about X?" with citations, conflicts, and gaps.