What problem does it solve?
This skill guides teams in writing and refining rules that govern how AI agents behave, improving execution accuracy and reducing ambiguity in prompts and command definitions.
Core Features & Use Cases
- Principle-based framework encapsulates the 9 core principles for rule editing (context efficiency, unified notation, duplication avoidance, aggregate responsibilities, measurable criteria, NG patterns, explicit assumptions, priority by importance, and scope boundaries).
- Scope and consistency provides explicit boundaries and a unified style to ensure rules are applied consistently across skills and prompts.
- Use cases when creating or editing any skill, agent instruction, or command definition, apply the guide to improve clarity, reduce errors, and facilitate review.
Quick Start
Apply the rule-editing-guide when drafting or revising any rule: outline the principles, check for duplication, verify scope, and ensure measurable criteria.