audit
Audit current renders and stress coverage, repair real defects and stop under the bound refinement policy.
Interpret recurring measured findings and honest trends without turning taste into a skill score.
$ npx -y skills add 3x-haust/oh-my-design --skill coach --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/coachContext preview
The summary Claude sees to decide when to auto-load this skill.
Interpret recurring measured findings and honest trends without turning taste into a skill score.
name: coach description: Interpret recurring measured findings and honest trends without turning taste into a skill score.
Run `omd coach`. Interpret its actual history and decision evidence, not a personality or preference profile. Lead with the costliest recurring cause and what changed. Keep insufficient history, unknown telemetry and absent baselines explicit; do not invent a trend or percentage.
A contextual overrule is a decision, not automatically a mistake. Separate measurable failures from optional taste. Never read .omd/taste/ to diagnose competence or infer human/model authorship.
Return one concrete next observation or study grounded in the reported pattern. No implementation or new research is authorized by coaching alone.
AI that designs like a human. Give OMD one request. It researches, compares real material, chooses a direction, builds, renders, and repairs internally.
Audit current renders and stress coverage, repair real defects and stop under the bound refinement policy.
Dispatch the existing candidate-generation stage from minimal tokens to one authentic direction choice.
Review actual current design evidence and rank observable problems without implementing changes.
Expand the selected sample into the complete requested surface, state and viewport scope.
Implement an already chosen Figma target faithfully while verifying unrepresented behavior, states and responsive gaps.