Skill Distiller

Transform skills authored for high-capability models (Opus) into deterministic workflows that execute reliably on lower-cost models (Sonnet, Haiku). The core insight from EvoSkills: skills encode reusable task structure, not model-specific artifacts. A skill evolved on Opus transfers with +35-45pp gains to other models — but only when the instructions are sufficiently deterministic that lower-capability models can follow them without improvising.

Reference Files

Prerequisites