learn

name	learn
description	Wiki sensemaker. /learn → densify pass. /learn <question> or "drive Q&A" → research-to-thoughts flow. Triggers `learn_pass` MCP tool. Always reads docs first.
tags	["skill","wiki"]

Learn

First action (mandatory): docs({name: "learn"}) — read fully before any write.

Densify

learn_pass({force: true, raise_questions: true})

Answer questions

All multi-doc tools (ingest, mark_question, search, get, update) are batch-only — wrap every payload in {items: [...]}, even for a single record.

1. search({items: [{query, mode: "qa", include_bodies: true, include_reasons: true, edges_depth: 1}]}) — check suggested_conclusions per result.
2. Research → bundle all claims into one call:

   ingest({items: [
     {kind: "thought", body: "[[<question_id>]] ...claim 1..."},
     {kind: "thought", body: "[[<question_id>]] ...claim 2..."}
   ]})
   

   Body-start [[<question_id>]] mints a Supports edge — evidence stacks across thoughts.
3. learn_pass({force: true, raise_questions: false}) — promotes a conclusion + hard-deletes the question (lifecycle is open|graveyard|deleted) once support_promote_floor (default 3) Supports edges accumulate or one candidate clears answer_threshold (default 0.6).
4. Still open after the pass? Either lower thresholds (learn_pass({force:true, support_threshold:0.2, support_promote_floor:1})) or fall back to mark_question({items: [{question_id, status: "deleted"}]}) for already-answered questions, or status: "buried" to park unanswerable ones in questions/graveyard/.