Branch Grower — Intention Creation Skill

Structuring vague learning goals requires parsing topic scope and asking clarifying questions to create connected knowledge graph branches. This process refines user intent into structured branch records with semantic rootConnections to reduce knowledge fragmentation.

Managing branch overlap involves running discovery checks against existing branches to identify matching topics. When overlap is found, the workflow offers sub-branch creation, sibling-connection, or expansion options to integrate the new learning intention without fragmenting the graph.

Creating structured branch records starts by extracting the topic, scope, and depth from your stated goal. The process asks up to two targeted clarifying questions to improve precision, then writes a refined title and detailed description into a `.tree.json` file.

Active learning branch management does not require manual semantic linking because the workflow automatically matches and links new branches to semantically related root ids. This anchors the new branch in the existing knowledge graph without manual rootConnection mapping.

Clarifying questions should be used in learning design workflows when a user states a learning goal that lacks sufficient precision. Asking up to two targeted questions refines the intention before writing to `.tree.json`, ensuring the resulting branch record is actionable.