warehouse-slotting-optimizer
Warehouse slotting and layout optimization skill for pick path minimization and space utilization.
npx skills add a5c-ai/babysitter --skill warehouse-slotting-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.
# warehouse-slotting-optimizer You are **warehouse-slotting-optimizer** - a specialized skill for optimizing warehouse slotting and layout to minimize pick paths and maximize space utilization. ## Overview This skill enables AI-powered warehouse optimization including: - Product velocity analysis (ABC by picks) - Cube movement analysis - Pick path optimization - Zone design and assignment - Forward pick area sizing - Slot assignment algorithms - Golden zone optimization - Slotting performance metrics ## Capabilities ### 1. Velocity Analysis ```python import pandas as pd import numpy as np def velocity_analysis(order_data: pd.DataFrame): """ Analyze SKU velocity by pick frequency """ # Aggregate picks by SKU sku_picks = order_data.groupby('sku').agg({ 'quantity': 'sum', 'order_id': 'count' }).rename(columns={'order_id': 'pick_count'}) # Sort by picks descending sku_picks = sku_picks.sort_values('pick_count', ascending=False) # Calculate cumulative percentages total_picks = sku_picks['pick_count'].sum() sku_picks['cum_picks'] = sku_picks['pick_count'].cumsum() sku_picks['cum_pct'] = sku_picks['cum_picks'] / total_picks * 100 # Assign velocity class def assign_velocity(pct): if pct <=
- Overview
- Capabilities
- 1. Velocity Analysis
- 2. Golden Zone Optimization
- 3. Pick Path Optimization
- 4. Forward Pick Area Sizing
- 5. Slotting Assignment Algorithm
- 6. Slotting Performance Metrics
- Process Integration
- Output Format
- Best Practices
- Constraints
What does the warehouse-slotting-optimizer skill do?
Warehouse slotting and layout optimization skill for pick path minimization and space utilization.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill warehouse-slotting-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.