re20-recursive-governance-guardrails-that-learn

What problem does it solve?

This Skill addresses the challenge of creating rules and processes that can adapt and improve over time based on their own performance, leading to more effective and scalable solutions.

Core Features & Use Cases

• Iterative Refinement: Enables the continuous improvement of rules and workflows through feedback loops.
• Adaptive Governance: Establishes guardrails that learn and adjust based on their effectiveness.
• Use Case: When developing a new content moderation policy, use this Skill to define initial rules, then feed back performance data to automatically refine the rules for better accuracy and fairness over successive cycles.

Quick Start

Apply the RE20 transformation to establish rules that adapt based on their own effectiveness.