factory-rdr

What problem does it solve?

This Skill solves the problem of inconsistent, un-auditable, or biased decision-making when AI agents pose choices to users, eliminating lost decisions, lack of transparency, and ungrounded recommendations that can lead to misalignment with project goals.

Core Features & Use Cases

• Structured Decision Framing: Mandates 3+ options with a justified recommendation grounded in project context, governance rules, or industry defaults, plus adversarial tradeoff analysis for each option.
• Verbatim Intent Capture: Preserves the exact user input to avoid misinterpretation of their choice.
• Immediate Audit Trail: Ratifies decisions in the same turn by persisting to both machine-readable progress metadata and human-readable inline artifact comments for full traceability.
• Use Case: Used across all Myrmion AI Factory agents for project setup discovery, feature scope definition, design selection, low-confidence audit calls, and DevOps environment configuration.

Quick Start

When an agent needs to pose a decision with multiple alternatives to the user, invoke the factory-rdr protocol to frame the options, capture the user's choice, and persist the ratified decision immediately.