uig

From the author

Build a User Input Grid (UIG) for an AI product or feature, evaluate existing eval datasets against it, and propose new inputs to fill coverage gaps. Use this skill whenever someone asks to design an eval framework, audit a test set, build a "user input grid", "synthetic query matrix" or "SQM", improve dataset coverage, or assess whether their offline evals reflect what real users will actually send. Also trigger when they share a product domain + sample dataset and want to know what the dataset is missing, or when they're setting up evals from scratch for a new AI feature. Output is a markdown file (UIG framework + dataset evaluation + recommendations) saved to the current project directory.