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brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).
wave-planning-optimizerAutomated wave planning and pick path optimization skill to maximize warehouse throughput and order accuracy
Independent GitHub snapshot · Automated classification · Original documentation governs
name: wave-planning-optimizer description: Automated wave planning and pick path optimization skill to maximize warehouse throughput and order accuracy allowed-tools:
The Wave Planning Optimizer is an automated skill that optimizes wave planning and pick path sequencing to maximize warehouse throughput and order accuracy. It intelligently groups orders into waves, balances workloads, and coordinates with carrier cutoff times to ensure efficient fulfillment operations.
skill: wave-planning-optimizer
inputs:
orders:
- order_id: "ORD001"
lines: 3
priority: "standard"
carrier_cutoff: "14:00"
zone_requirements: ["ZONE_A", "ZONE_B"]
- order_id: "ORD002"
lines: 5
priority: "expedited"
carrier_cutoff: "12:00"
zone_requirements: ["ZONE_A"]
resources:
available_pickers: 10
picker_capacity_lines_per_hour: 60
constraints:
max_wave_size: 200
batch_size_target: 12
planning_horizon_hours: 4
outputs:
waves:
- wave_id: "WAVE001"
release_time: "08:00"
orders: ["ORD002", "ORD003", "ORD004"]
total_lines: 45
estimated_completion: "09:30"
assigned_pickers: 3
batches:
- batch_id: "BATCH001"
orders: ["ORD002"]
pick_sequence: ["A-01-02", "A-03-05", "A-04-01"]
- wave_id: "WAVE002"
release_time: "09:30"
orders: ["ORD001", "ORD005"]
total_lines: 38
estimated_completion: "11:00"
assigned_pickers: 3
metrics:
total_waves: 2
average_batch_size: 10.5
estimated_throughput_lines_per_hour: 85