Agent skill

cycle-count-scheduler

AI-driven cycle counting schedule and variance analysis skill to maintain inventory accuracy with minimal operational disruption

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/business/logistics/skills/cycle-count-scheduler

Metadata

Additional technical details for this skill

domain
business
category
warehouse
priority
medium
specialization
logistics

SKILL.md

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)
  • Time to count completion

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results