What problem does it solve?
Single-perspective AI answers are prone to anchoring, sycophancy, and groupthink, so high-stakes decisions, tradeoffs, and contested claims often get shallow or overconfident treatment. This Skill runs a structured multi-agent jury protocol that produces one committed, calibrated verdict instead of an ambiguous "it depends".
Core Features & Use Cases
- Blind independent voting: 3 to 5 juror subagents form opinions in parallel without seeing each other, protecting against anchoring.
- Anonymized deliberation with anti-bandwagon guards: positions are stripped of identity, flips must cite new evidence, and suspected conformity triggers a fallback to the independent aggregate.
- Deterministic tally: a Python script computes confidence-weighted scores, flip audits, evidence-grade caps, and homogeneity caps to recommend a winner and confidence level.
- Use Case: Ask "convene a jury: migrate hot tables to the new engine or tune the current one this quarter?" and receive a verdict with confidence level, ranked reasons, preserved dissent, the riskiest assumption, a validation test, and one concrete next action.
Quick Start
Ask the agent to convene a jury to decide between your specific options, providing the decision context and constraints.