align-mental-model

Run a prediction-check loop to verify implicit beliefs against ground truth.

2|Updated Mar 25, 2026

Search Tags:#planning #learning #alignment #decision-making #root-cause #mental-model #prediction-check

Ready to run

npx skills add https://github.com/Ivcota/skills --skill align-mental-model

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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.

Core Features & Use Cases

Prediction-check loop to surface unspoken beliefs and compare them to ground truth.
Mode-aware verification: codebase, learning, and planning.
Root-cause tracing and end-of-session scorecard with corrective actions.
Use Case: before a code change or learning a new topic, ensure your assumptions are aligned.

Quick Start

Before starting a code change, trigger a prediction-check to surface hidden beliefs and verify them against ground truth.

Frequently Asked Questions about align-mental-model

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I verify my assumptions before making a codebase change?▼

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.

What is a prediction-check loop for decision-making?▼

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.

How do I check if my mental model aligns when learning a new topic?▼

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.

Can I use this mental model alignment approach for product and organizational planning?▼

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.

What is the best way to trace the root cause of a broken code change?▼

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.