reflection-validation

What problem does it solve?

This Skill addresses the tendency of AI models to "think fast" and potentially make errors by introducing a structured, deliberate "System 2" thinking process to validate AI-generated responses. It helps catch undeclared assumptions, broken causal chains, and misaligned objectives.

Core Features & Use Cases

• Meta-Cognitive Validation: Applies a 5-step protocol to critically evaluate AI outputs.
• Assumption Auditing: Explicitly lists and validates implicit assumptions made by the AI.
• Causal Chain Analysis: Simulates the step-by-step execution of a recommendation to ensure it logically leads to the desired outcome.
• Gap Detection: Identifies specific types of reasoning flaws and cognitive biases.
• Use Case: Before deploying an AI-generated strategy for a critical business decision, use this Skill to ensure the AI's reasoning is robust, all assumptions are valid, and the proposed steps will actually achieve the intended business goal.

Quick Start

Validate the AI's proposed solution by auditing its assumptions and simulating the execution steps.