Run a prediction-check loop to verify implicit beliefs against ground truth.
npx skills add https://github.com/Ivcota/skills --skill align-mental-model
Please help me install this Agent Skill. Skill: align-mental-model Source: https://github.com/Ivcota/skills/tree/main/align-mental-model Command: npx skills add https://github.com/Ivcota/skills --skill align-mental-model
Most failed decisions, broken changes, and stuck learning come from a mental model that drifts from reality. The user can't fix what they don't know is wrong. Surface the wrong beliefs before the action that depends on them.
Before starting a code change, trigger a prediction-check to surface hidden beliefs and verify them against ground truth.
High-intent search queries and answers about installing and using this skill.
Use a prediction-check loop to surface implicit mental models and verify them against ground truth before executing codebase changes, ensuring your assumptions align with reality to prevent failed decisions.
A prediction-check loop is a process that surfaces hidden beliefs before an action by predicting outcomes and verifying them against mode-specific ground truth. It traces root causes and generates a corrective scorecard.
Trigger mode-aware verification designed for learning new topics to compare your implicit predictions against ground truth. This surfaces wrong beliefs and traces root causes to guide corrective study actions.
Yes, the prediction-check loop applies to planning decisions across software, product, and organizational work by enforcing mode-specific ground truth verification and generating an action-oriented scorecard for next steps.
Run a prediction-check loop to surface mismatched beliefs before action, then use root-cause tracing to identify why the mental model drifted from reality. An end-of-session scorecard provides corrective actions.
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