wave-planning-optimizer
Automated wave planning and pick path optimization skill to maximize warehouse throughput and order accuracy
Profile →npx skills add a5c-ai/babysitter --skill wave-planning-optimizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Wave Planning Optimizer ## Overview 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. ## Capabilities - **Wave Release Optimization**: Determine optimal wave sizes and release timing based on capacity, demand, and carrier schedules - **Batch Picking Strategies**: Group orders into efficient batches based on location proximity, order similarity, and resource availability - **Pick Path Sequencing**: Optimize the sequence of picks within a batch to minimize travel distance - **Carrier Cutoff Coordination**: Align wave releases with carrier pickup schedules and service commitments - **Resource Capacity Balancing**: Distribute work evenly across available pickers and zones to prevent bottlenecks - **Zone Picking Orchestration**: Coordinate picks across multiple zones for efficient zone-based picking strategies - **Pick Density Optimization**: Maximize picks per travel unit by optimizing batch composition ## Tools and Libraries - WMS
- Overview
- Capabilities
- Tools and Libraries
- Used By Processes
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What does the wave-planning-optimizer skill do?
Automated wave planning and pick path optimization skill to maximize warehouse throughput and order accuracy
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill wave-planning-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.