Answer questions using the brain's knowledge with 3-layer search, synthesis, and citation propagation. Use when the user asks a question, wants a lookup, or needs information from the brain.
Answer questions using the brain's knowledge with 3-layer search and synthesis.
This skill guarantees:
Answers should include:
Search returns chunks, not full pages. Read the excerpts first before deciding whether to load a full page.
gbrain search / gbrain query return ranked chunks with context snippets.
These are often enough to answer the question directly.gbrain get <slug> to load the full page when a chunk confirms the
page is relevant and you need more context (e.g., compiled truth, timeline).When multiple sources provide conflicting information, follow this precedence:
When sources conflict, note the contradiction with both citations. Don't silently pick one.
When referencing brain pages in your answer, propagate inline citations:
[Source: ...] citations, propagate them so
the user can trace facts to their originFor relationship questions ("who knows who at X?", "connections between A and B", "who works at Acme?", "who attended the standup?"), use the graph layer instead of full-text search:
gbrain graph-query <slug> --type <link_type> --depth N --direction in|out|bothattended, works_at, invested_in, founded, advises, mentions, source--direction in answers "who points to X?" (e.g., who works at company X)--direction out answers "what does X point to?" (default)--depth N controls multi-hop traversal (default 5)Examples:
gbrain graph-query companies/acme --type works_at --direction ingbrain graph-query meetings/demo-day-w26 --type attended --direction outgbrain graph-query people/emily --type advises --direction outgbrain graph-query people/alice --type attended --depth 2Combine with gbrain query for queries that need BOTH semantic similarity AND
graph structure. Search results are ranked with a small backlink boost so well-
connected entities surface higher.
If search results seem off (wrong results, missing known pages, irrelevant hits):
gbrain doctor --json to check index healthgbrain search) vs hybrid search (gbrain query)
for the same query to isolate whether the issue is embedding-related