investigate-root-cause

What problem does it solve?

This Skill provides a structured, multi-agent ensemble approach to identifying the root causes of health conditions. By combining four distinct reasoning strategies, it reduces cognitive bias, promotes diagnostic diversity, and delivers a calibrated confidence assessment with actionable follow-up.

Core Features & Use Cases

• Four parallel agents with different reasoning strategies (Bottom-Up, Top-Down, Genetics-First, Red Team) for comprehensive coverage.
• Mandatory evidence verification and cross-agent refinement to enhance reliability and minimize bias.
• Adversarial validation and counter-hypothesis generation to surface alternative explanations.
• Integrated data sources: labs, medical timeline, current medications, genetics, and literature.
• Per-hypothesis falsification criteria, confidence calibration, and epidemiological priors where applicable.
• Health state update with prioritized follow-up actions, goals, and diagnostic gaps.

Quick Start

1. Initiate an ensemble investigation for a target condition (e.g., "investigate root cause of chronic fatigue").
2. The system will spawn four parallel agents to generate initial findings.
3. After completion, refinement and verification phases will produce a calibrated consensus report.
4. The health state is updated with hypotheses, gaps, and suggested next steps.