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MOCHILAB / AI SKILL
Bundle Capacity Planner
Calculate bundle component bottlenecks and simulate ordered bundle allocations that compete for shared available inventory.
What it does
Calculate bundle component bottlenecks and simulate ordered bundle allocations that compete for shared available inventory.
Try saying
How many complete bundles can I assemble and what is the bottleneck?
Simulate these bundle orders in the supplied priority order.
Inputs and outputs
Supply your actual snapshots and business parameters. The assistant prepares normalized JSON; native CSV ingestion is not supported. Produces actual result.json, report.md and rows.csv with input SHA256. Existing nonempty output directories are immutable.
Scope
Local snapshot analysis only. No account, store, payment or messaging actions; no guaranteed platform approval. See the bundled input contract for exact assumptions and exclusions. Python3.10+ standard library only, with no extra paid data key. Optional model usage follows your configured services.
Calculation scope
Independent capacity is the minimum floor(available component stock / units per bundle). Shared capacities cannot be added together. Plans allocate in input order. Missing stock is unknown; explicit zero stock is zero. Nested bundles are not expanded.
Primary references