What problem does it solve? AI agents working in a repository need consistent operating rules so their outputs remain governed, reviewable, and reconstructible from committed files rather than scattered chat history or ad-hoc decisions. ## Core Features & Use Cases - Ten Agent Operating Principles: Covers repository-as-system-of-record, invariant enforcement, AVM-first Azure modules, security baselines, context scarcity, and mechanical rule enforcement. - Decision Framework: Provides per-principle compliance tests so agents and reviewers can check design choices against non-negotiable rules. - Progressive Loading: Ships digest and minimal variants plus a detailed references file so agents load only the depth they need. - Use Case: When designing a new agent or skill for Azure infrastructure work, read these principles first to decide whether a rule belongs in documentation, a linter, or a skill update. ## Quick Start Ask the agent to read the golden principles skill and evaluate whether a proposed instruction change complies with the ten operating principles.