cycle-count-scheduler
AI-driven cycle counting schedule and variance analysis skill to maintain inventory accuracy with minimal operational disruption
Best use case
cycle-count-scheduler is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
AI-driven cycle counting schedule and variance analysis skill to maintain inventory accuracy with minimal operational disruption
Teams using cycle-count-scheduler should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cycle-count-scheduler/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cycle-count-scheduler Compares
| Feature / Agent | cycle-count-scheduler | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
AI-driven cycle counting schedule and variance analysis skill to maintain inventory accuracy with minimal operational disruption
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Cycle Count Scheduler
## Overview
The Cycle Count Scheduler is an AI-driven skill that optimizes cycle counting schedules and performs variance analysis to maintain inventory accuracy with minimal operational disruption. It uses ABC classification, statistical sampling, and historical accuracy data to prioritize counting activities and identify root causes of inventory discrepancies.
## Capabilities
- **ABC-Based Count Frequency Determination**: Set count frequencies based on inventory value, velocity, and criticality classifications
- **Statistical Sampling Design**: Design statistically valid sampling plans that provide accuracy confidence with minimal counting effort
- **Count Schedule Optimization**: Schedule counts during low-activity periods to minimize operational disruption
- **Variance Threshold Alerting**: Monitor count variances against thresholds and trigger alerts for significant discrepancies
- **Root Cause Analysis Automation**: Analyze variance patterns to identify systemic issues and recommend corrective actions
- **Perpetual vs. Physical Reconciliation**: Compare perpetual inventory records with physical counts and manage adjustments
- **Audit Trail Documentation**: Maintain complete documentation of counts, variances, and adjustments for compliance
## Tools and Libraries
- WMS APIs
- Statistical Sampling Libraries
- Inventory Audit Tools
- Analytics Platforms
## Used By Processes
- Cycle Counting Program
- ABC-XYZ Analysis
- FIFO-LIFO Inventory Control
## Usage
```yaml
skill: cycle-count-scheduler
inputs:
inventory_profile:
total_skus: 5000
abc_distribution:
A_items: 500
B_items: 1500
C_items: 3000
count_parameters:
target_accuracy: 99.5
counting_capacity_skus_per_day: 100
available_count_days_per_week: 5
current_accuracy:
A_items: 98.5
B_items: 97.8
C_items: 96.2
outputs:
count_schedule:
- classification: "A"
count_frequency: "weekly"
skus_per_week: 100
priority_skus: ["SKU001", "SKU002", "SKU003"]
- classification: "B"
count_frequency: "monthly"
skus_per_week: 75
- classification: "C"
count_frequency: "quarterly"
skus_per_week: 60
weekly_schedule:
monday: { zone: "ZONE_A", skus: 45 }
tuesday: { zone: "ZONE_A", skus: 45 }
wednesday: { zone: "ZONE_B", skus: 50 }
thursday: { zone: "ZONE_B", skus: 50 }
friday: { zone: "ZONE_C", skus: 45 }
projected_accuracy_improvement:
A_items: 99.8
B_items: 99.2
C_items: 98.5
```
## Integration Points
- Warehouse Management Systems (WMS)
- Inventory Management Systems
- Financial Systems (for adjustments)
- Compliance/Audit Systems
- Mobile Counting Devices
## Performance Metrics
- Inventory record accuracy (IRA)
- Count variance rate
- Adjustment dollar value
- Count productivity (SKUs per hour)
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