The framework introduces lightweight decorator prefixes that modify LLM response generation without retraining. Each decorator enforces specific response rules, enabling declarative control over reasoning style, behavior, and output structure. Decorators can be combined, scoped across conversation turns, and used as an Agent Skill for integration into AI tools.