people-intellisted

# People Intelligence Research a person and synthesize a structured Basic Memory person note using five enrichment sources, then cross-link existing notes. ## Arguments One argument: the person's full name. No prefix required — person names are unique identifiers in this graph. | Form | Example | |------|---------| | `<Full Name>` | `Linus Torvalds` | | `<Full Name>` | `Tim Berners-Lee` | | `<Full Name>` | `Aaron Gustafson` | See Step 0 below for how the argument is parsed into `name` and `descriptor`. ### Step 0: Normalize input Strip leading/trailing whitespace. If the argument looks like a BM note title (contains ` - `), split into name and descriptor. Otherwise treat the whole argument as the person's name. ### Step 1: Check for existing note <!-- This pattern is mirrored in intel's shared references/note-lookup-and-freshness.md (both families) — update all when changing --> Search by name across person notes: ``` search_notes(query="<name>", note_types=["person"], page_size=5) ``` Also do a broad text search in case the note uses a different title format: ``` search_notes(query="<name>", search_type="text", page_size=10) ``` If a matching person note is found, read it: ``` read_note(identifier="<title>", include_frontmatter=true, output_format="json") ``` **Freshness check:** Scope research based on note age (check `updated_at`): | Note age | Sources to run | Sources to skip | |----------|---------------|-----------------| | Missing or >180 days | All 5 (fu