Meta

Invoke before responding to any non-trivial task—enforces the 1% rule that if any skill has even a 1% chance of improving output, it must be invoked first.

Enforces a test-driven approach to skill authoring — defining what a skill must achieve before writing content to prevent hallucinated utility or ungrounded advice. Use when creating new skills, editing existing ones, or verifying skill quality before deployment.

Use at the start of any session or when a task has no clear skill assignment—routes the request to the correct skill family and establishes workflow chain context.

Engineers prompts into clear, structured, model-optimized instructions using the 4-D methodology (Deconstruct, Diagnose, Develop, Deliver) with architecture-specific tuning. Use when a draft prompt, instruction set, or agent skill description needs refinement for clarity or improved performance.

Compresses domain mastery using Ultralearning and Metacognition principles — moving from passive consumption to active production through directness, retrieval practice, and feedback loops. Use when learning a new domain rapidly, building a study plan, or preparing for a high-stakes professional skill.

Use when a problem spans multiple disciplines or when single-domain thinking has produced stale analysis—applies Munger's latticework of mental models across physics, biology, and psychology.