nav-diagnoselisted

# Navigator Diagnose Skill Detect when human-AI collaboration quality drops and prompt re-anchoring to restore effective communication. ## Why This Exists (Theory of Mind) Based on Riedl & Weidmann 2025 research on Human-AI Synergy: - Theory of Mind varies dynamically within users (moment-to-moment) - Quality drops occur when ToM alignment degrades - Early detection and re-anchoring restores collaboration effectiveness - Both user ToM (understanding Claude) and Claude's model of user can drift This skill detects when collaboration is degrading and prompts corrective action. ## When to Invoke **Auto-invoke when**: - 2+ corrections on the same topic detected - User says "something seems off", "you're not getting this" - User says "wrong again", "still not right" - Context usage exceeds 75% and quality signals degrade - User expresses frustration ("ugh", "sigh", explicit frustration) - Loop mode stagnation detected (3+ same-state iterations) **DO NOT invoke if**: - Single correction (normal collaboration) - User is providing new requirements (not correcting) - Fresh session (insufficient data to diagnose) - User explicitly says "it's fine" or "close enough" ## Quality Drop Indicators ### 1. Repeated Corrections (High Severity) ``` Trigger: Same correction given 2+ times Signal: "No, I said users plural, not user" (2nd time) Issue: Not incorporating user feedback ``` ### 2. Hallucination Signals (High Severity) ``` Trigger: References to non-existent files, functions, o