tommy0103
3822bda89e
Extract schema DDL into scripts/schema.sql. Add content_type and is_meta columns to messages for transcript control-plane filtering. Introduce FTS5-backed memory recall with safe tokenization, memory soft-delete via forget() through the renamed --attune runtime, and anchors on memory records. Expand query helpers (includeMeta, thread opts, overview project-path awareness). Add per-card recap retrieval and writing references under references/recap/.
1.3 KiB
Card 3 Vibe Retrieval
Goal: find small human signals in visible user messages. Vibe is not a correction log, not bracketed runtime text, and not a psychological profile.
Look for:
- catchphrases and repeated tiny reactions;
- unusually blunt praise or rejection;
- late-night disbelief, jokes, or rituals;
- one quotable sentence that captures the period's character.
Only count visible user messages. Helper APIs omit meta by default, but custom
SQL for phrase counts must filter user text with COALESCE(m.is_meta,0)=0 and
m.content_type='text'. Do not count tool results, injected command envelopes,
UI labels, or bracketed runtime strings.
Useful retrieval:
- targeted phrase counts after you notice a likely catchphrase;
thread(sessionId)around high-energy moments;search()for exact phrases, thencontext()for timing;- a bounded SQL count only after reading
references/schema.md.
Read this card's writing file immediately after you have the small user signals:
references/recap/writing3-vibe.md. Then update the JSON vibe card and add
evidence for every quote, count, and timestamp.
Do not read pattern4-workflow.md until this JSON update is done.
Stop when every observation is either exact user words or a tiny label backed by exact user words.