metacognition

What problem does it solve?

This Skill provides a structured protocol for AI agents to self-assess their understanding, approach, and assumptions before, during, and after task execution, preventing errors and ensuring alignment with project goals.

Core Features & Use Cases

• Mandatory Checkpoints: Enforces critical assessment at key stages like task changes, error occurrences, or phase transitions.
• Assessment Questions: Guides the AI through a series of questions covering task understanding, current state, and approach validation.
• Rule Selection Guide: Recommends relevant rules based on task type and outlines a progressive loading strategy.
• Error Recovery Protocol: Defines steps for AI to take when encountering blockers or errors, including when to ask for user help.
• Use Case: Before an AI begins implementing a new feature, it runs through the metacognition protocol to validate its understanding of the requirements and its planned approach, ensuring it doesn't proceed with a flawed strategy.

Quick Start

Run the metacognition skill to assess your current task and approach.