Key principle: start with minimal prompts using the best model, then add instructions based on observed failure modes. Structure agent knowledge as progressive disclosure (name → full skill → sub-files). Maintain lightweight identifiers and load data dynamically rather than pre-loading. Directly validates DanOS thin-agent philosophy.