What problem does it solve? Consequential decisions made with AI agents often suffer from framing bias, confirmation bias, terminology drift, and lost context between sessions. This Skill structures decision interviews so the human decision owner reaches dependable choices without unnecessary process. ## Core Features & Use Cases - Three Operating Modes: Run interviews as Interviewer, review another agent's questions as Independent Reviewer, or combine both with a disclosed consistency-review pass. - Counterbalanced Question Design: Split compound decisions, apply alternate framing angles (adopt/reject, gain/loss, default-reversed), and preserve an Other/Reframe path to reduce bias. - Continuity Artifacts: Produce standalone Decision Calibration Checkpoints, execution plan reviews, and After-Action Review handoffs that a fresh agent can use without replaying the conversation. - Use Case: A user is choosing between vendor options with another AI agent. Paste the agent's questions into this Skill to get Agree/Disagree/Reframe recommendations with reasoning, then checkpoint the settled decisions for the next session. ## Quick Start Use calibrate-decisions to review the questions this other agent asked me and help me answer them without bias.
