Root Deepener — Identity & Mastery Skill

What problem does it solve?

This Skill turns a user's background and learning signals into persistent “roots” so their identity and mastery can guide future interactions.

Core Features & Use Cases

• Onboarding root inference: Asks warm, open questions, then infers roots with stated vs inferred sourcing and writes them into .tree.json.
• Mastery-driven internalization: Detects mastery evidence in .root-signals.jsonl, proposes internalization, and—upon confirmation—updates branch status and creates new rooted connections.
• Evidence-gated decisions: Requires multiple signals across conversations before internalizing a branch to reduce overreach.

Quick Start

Ask the assistant to run Root Deepener to infer or internalize user roots based on the first conversation or accumulated mastery signals.