Eval Rubric Designer Skill

You can't improve what you can't score. The hard part of evaluating AI output isn't running the judge — it's defining dimensions that are specific, observable, and independent, with anchors concrete enough that two people (or two judge runs) agree. This skill turns "is the output good?" into a rubric and a judge prompt you can run today.

Working from a brief

Given just "I need to eval my summariser", produce the full rubric anyway — infer the task, the output type, and the dimensions that matter for it, and label inferred choices. Never hand back a list of dimension names with no anchors; the anchors are where the rubric earns its keep.

Required Inputs

Ask for these only if they aren't already provided (else infer and label):