cycle-count-scheduler
AI-driven cycle counting schedule and variance analysis skill to maintain inventory accuracy with minimal operational disruption
npx skills add a5c-ai/babysitter --skill cycle-count-scheduler --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.
# 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 Documentatio
- Overview
- Capabilities
- Tools and Libraries
- Used By Processes
- Usage
- Integration Points
- Performance Metrics
What does the cycle-count-scheduler skill do?
AI-driven cycle counting schedule and variance analysis skill to maintain inventory accuracy with minimal operational disruption
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill cycle-count-scheduler --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.