Tabular Optimization Ingestion

Use this skill when the user provides raw or semi-structured data and asks a question that may require optimization.

The purpose of this skill is to bridge the gap between messy uploaded data and solver-ready model construction.

This skill does not solve the optimization problem itself. It inspects the data, infers likely modeling roles, and identifies what still needs clarification.

It does not authorize heuristic, greedy, or backtracking schedules as answers. In the NemoClaw sandbox, read cuopt-sandbox: the first solver that produces assignments or a schedule must be cuOpt after probe → env → smoke gates pass. Ingestion output is a modeling interpretation (entities, objective fields, constraints) — never a completed plan.

This skill refines the optimization interpretation using the uploaded data; it does not replace the earlier intent decision unless the data clearly contradicts it.

Purpose