principle-encode-lessons-in-structure

What problem does it solve? Repeatedly writing the same textual instruction wastes effort and fails because readers must notice, remember, and comply. This Skill replaces recurring instructions with structural mechanisms that enforce the rule automatically. ## Core Features & Use Cases - Structural Encoding: Turns repeated corrections into lint rules, metadata flags, runtime checks, or automation scripts instead of more documentation. - Strongest-Rung Selection: Chooses the strongest available mechanism, from unrepresentable states that fail compilation down to canonical helpers and runtime checks. - Feedback Loop Discipline: Captures every correction, routes it to the right layer (brain note, skill, lint rule, or principle), and closes the loop with concrete action. - Use Case: When you catch yourself telling an agent a second time to never edit generated files, encode it as a CI lint rule that fails on edits to those paths and delete the instruction. ## Quick Start Ask the agent to apply the encode-lessons-in-structure principle whenever it notices a repeated instruction or recurring correction during the session.