SuperAPI AI Directory

capacity-check

Data & analytics

View repository

Updated 11-03 10:01

About this skill

Capacity Check

Purpose

Deterministic load vs available hours (#1) and material gates (#2). Run-hours feasibility only - changeovers are the optimizer's job, and the pairing of the two is where naive plans die.

When to use

After demand-pull in every run.

Inputs

plan.json + workcenter.json + materials.json.

Steps

  1. Validate against the contract.
  2. Run scripts/capacity_check.py --plan plan.json --workcenter workcenter.json --materials materials.json --out checked.json
  3. Quote utilization and gates verbatim. State explicitly that the number excludes changeovers (#1.1) - "92% fits" is not a plan.

Output

checked.json - the {capacity} hop.

Grounding requirements

Capacity cites the work-center calendar; gates cite the material plan rows.

Constraints

  • All arithmetic in the engine; a material gate is a hard constraint, never "we'll figure it out" (#2.1).

Escalation / uncertainty

Missing routing data (#6) or gates: engine escalates; pass them through verbatim.