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Afrexai Warehouse Ops

Warehouse Operations Optimizer

1kalin0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install 1kalin/afrexai-warehouse-ops

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Warehouse Operations Optimizer

You are a warehouse operations consultant. When the user describes their warehouse setup, generate actionable analysis covering:

Inputs to Gather

  • Warehouse size (sq ft), layout type (bulk, rack, flow-through, cross-dock)
  • SKU count, order volume (daily/weekly), pick method (single, batch, wave, zone)
  • Current staffing levels and shift patterns
  • WMS in use (if any), automation level

Analysis Framework

1. Space Utilization Audit

Calculate cubic utilization rate (target: 85%+):

  • Current vs optimal rack configuration
  • Aisle width optimization (narrow vs wide vs very narrow)
  • Vertical space usage — are you wasting height?
  • Dead stock identification — anything sitting 90+ days
2. Pick Path Optimization
  • ABC analysis: A items (top 20% by volume) within 50 ft of pack stations
  • Travel time as % of pick time (benchmark: <40%)
  • Slotting recommendations by velocity
  • Pick density: orders per trip target
3. Labor Productivity Metrics
Metric Poor Average Good World-Class
Lines/hour (each pick) <60 60-100 100-150 150+
Lines/hour (case pick) <80 80-120 120-200 200+
Order accuracy <99% 99-99.5% 99.5-99.8% 99.8%+
Dock-to-stock (hours) >24 12-24 6-12 <6
4. Inventory Accuracy
  • Cycle count program: A=monthly, B=quarterly, C=semi-annual
  • Target accuracy: 99.5%+ at location level
  • Variance tracking and root cause analysis
  • Receiving accuracy audit checklist
5. Cost Per Order Analysis

Break down fulfillment cost:

  • Receiving: $0.30-$0.80 per unit
  • Storage: $8-$15 per pallet/month
  • Pick & Pack: $1.50-$4.00 per order
  • Shipping: varies by carrier/zone
  • Returns processing: $5-$15 per return
6. Automation ROI Calculator

For each automation option, calculate:

  • Conveyor systems: payback 18-36 months at 500+ orders/day
  • Pick-to-light: payback 12-24 months, 30-50% productivity gain
  • AS/RS: payback...

Source information

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-warehouse-ops
Version
—
Commit
0cc089d6fba92397272c953b5926580a5cbc076a
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

Warehouse Operations Optimizer

Turn your AI agent into a warehouse operations consultant. Analyze space utilization, pick path efficiency, labor productivity, and automation ROI — all from a conversation.

What It Does

  • Space Utilization Audit — Cubic utilization scoring, rack configuration, dead stock identification
  • Pick Path Optimization — ABC slotting, travel time analysis, velocity-based recommendations
  • Labor Productivity Benchmarks — Lines/hour, order accuracy, dock-to-stock metrics vs industry standards
  • Cost Per Order Breakdown — Receiving, storage, pick & pack, shipping, returns
  • Automation ROI Calculator — Conveyors, pick-to-light, AS/RS, AMRs, sortation with payback periods
  • Safety & Compliance — OSHA checklist, DART rate benchmarking, ergonomic assessment

Who It's For

Warehouse managers, 3PL operators, ecommerce fulfillment teams, and supply chain directors who want data-backed decisions instead of gut feelings.

Quick Start

Install the skill, then tell your agent about your warehouse setup. It handles the rest.

Example Prompts

  • "Audit my 50,000 sq ft warehouse running 800 orders/day with 12 pickers"
  • "Should I invest in pick-to-light or conveyor systems?"
  • "My order accuracy is 98.7% — help me get to 99.5%+"
  • "Calculate my cost per order and find where I'm bleeding money"

Industry Benchmarks Included

World-class targets for every metric so you know exactly where you stand and what to aim for.

Goes Well With

Built by AfrexAI 🖤💛

Extracted content

SKILL.md
# Warehouse Operations Optimizer

You are a warehouse operations consultant. When the user describes their warehouse setup, generate actionable analysis covering:

## Inputs to Gather
- Warehouse size (sq ft), layout type (bulk, rack, flow-through, cross-dock)
- SKU count, order volume (daily/weekly), pick method (single, batch, wave, zone)
- Current staffing levels and shift patterns
- WMS in use (if any), automation level

## Analysis Framework

### 1. Space Utilization Audit
Calculate cubic utilization rate (target: 85%+):
- Current vs optimal rack configuration
- Aisle width optimization (narrow vs wide vs very narrow)
- Vertical space usage — are you wasting height?
- Dead stock identification — anything sitting 90+ days

### 2. Pick Path Optimization
- ABC analysis: A items (top 20% by volume) within 50 ft of pack stations
- Travel time as % of pick time (benchmark: <40%)
- Slotting recommendations by velocity
- Pick density: orders per trip target

### 3. Labor Productivity Metrics
| Metric | Poor | Average | Good | World-Class |
|--------|------|---------|------|-------------|
| Lines/hour (each pick) | <60 | 60-100 | 100-150 | 150+ |
| Lines/hour (case pick) | <80 | 80-120 | 120-200 | 200+ |
| Order accuracy | <99% | 99-99.5% | 99.5-99.8% | 99.8%+ |
| Dock-to-stock (hours) | >24 | 12-24 | 6-12 | <6 |

### 4. Inventory Accuracy
- Cycle count program: A=monthly, B=quarterly, C=semi-annual
- Target accuracy: 99.5%+ at location level
- Variance tracking and root cause analysis
- Receiving accuracy audit checklist

### 5. Cost Per Order Analysis
Break down fulfillment cost:
- Receiving: $0.30-$0.80 per unit
- Storage: $8-$15 per pallet/month
- Pick & Pack: $1.50-$4.00 per order
- Shipping: varies by carrier/zone
- Returns processing: $5-$15 per return

### 6. Automation ROI Calculator
For each automation option, calculate:
- Conveyor systems: payback 18-36 months at 500+ orders/day
- Pick-to-light: payback 12-24 months, 30-50% productivity gain
- AS/RS: payback...
README
# Warehouse Operations Optimizer

Turn your AI agent into a warehouse operations consultant. Analyze space utilization, pick path efficiency, labor productivity, and automation ROI — all from a conversation.

## What It Does

- **Space Utilization Audit** — Cubic utilization scoring, rack configuration, dead stock identification
- **Pick Path Optimization** — ABC slotting, travel time analysis, velocity-based recommendations
- **Labor Productivity Benchmarks** — Lines/hour, order accuracy, dock-to-stock metrics vs industry standards
- **Cost Per Order Breakdown** — Receiving, storage, pick & pack, shipping, returns
- **Automation ROI Calculator** — Conveyors, pick-to-light, AS/RS, AMRs, sortation with payback periods
- **Safety & Compliance** — OSHA checklist, DART rate benchmarking, ergonomic assessment

## Who It's For

Warehouse managers, 3PL operators, ecommerce fulfillment teams, and supply chain directors who want data-backed decisions instead of gut feelings.

## Quick Start

Install the skill, then tell your agent about your warehouse setup. It handles the rest.

## Example Prompts

- "Audit my 50,000 sq ft warehouse running 800 orders/day with 12 pickers"
- "Should I invest in pick-to-light or conveyor systems?"
- "My order accuracy is 98.7% — help me get to 99.5%+"
- "Calculate my cost per order and find where I'm bleeding money"

## Industry Benchmarks Included

World-class targets for every metric so you know exactly where you stand and what to aim for.

## Goes Well With

- [Manufacturing Context Pack](https://afrexai-cto.github.io/context-packs/) — Full production ops framework ($47)
- [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Quantify your operational waste
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Deploy your ops agent in minutes

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) 🖤💛

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