Driver scheduling optimizer

Skill a5c-ai/babysitter/library/specializations/domains/business/logistics/skills/driver-scheduling-optimizer

Automated driver assignment and hours of service compliance skill ensuring regulatory compliance and operational efficiencyFrom its SKILL.md

Install

npx -y skills add a5c-ai/babysitter --skill driver-scheduling-optimizer

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SKILL.md

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Driver Scheduling Optimizer

Overview

The Driver Scheduling Optimizer automates driver assignment and ensures hours of service (HOS) compliance while maximizing operational efficiency. It matches drivers to loads based on qualifications, availability, and location while preventing regulatory violations and managing fatigue risk.

Capabilities

HOS Compliance Monitoring: Track and enforce hours of service regulations in real-time
Driver-Load Matching: Match drivers to loads based on qualifications, location, and availability
Qualification Verification: Verify driver certifications, endorsements, and training requirements
Fatigue Risk Assessment: Assess driver fatigue risk based on work patterns and rest periods
Break and Rest Planning: Plan mandatory breaks and rest periods into driver schedules
ELD Data Integration: Integrate with electronic logging devices for accurate time tracking
Violation Prevention Alerting: Alert dispatchers and drivers before potential violations occur

Tools and Libraries

ELD APIs
FMCSA Compliance Databases
Scheduling Optimization Libraries
Driver Management Systems

Used By Processes

Driver Scheduling and Compliance
Route Optimization
Fleet Performance Analytics

Usage

skill: driver-scheduling-optimizer
inputs:
  drivers:
    - driver_id: "DRV001"
      name: "John Smith"
      current_location: "Chicago, IL"
      endorsements: ["hazmat", "tanker"]
      hos_status:
        driving_remaining_hours: 8.5
        duty_remaining_hours: 12.0
        cycle_remaining_hours: 55.0
        last_rest_end: "2026-01-25T06:00:00Z"
    - driver_id: "DRV002"
      name: "Jane Doe"
      current_location: "Indianapolis, IN"
      endorsements: []
      hos_status:
        driving_remaining_hours: 11.0
        duty_remaining_hours: 14.0
        cycle_remaining_hours: 60.0
        last_rest_end: "2026-01-25T05:00:00Z"
  loads:
    - load_id: "LOAD001"
      origin: "Chicago, IL"
      destination: "Columbus, OH"
      pickup_time: "2026-01-25T10:00:00Z"
      estimated_drive_time_hours: 5.5
      requirements:
        endorsements_required: []
        experience_years: 1
  scheduling_parameters:
    buffer_hours: 1.0
    prefer_home_time: true
outputs:
  driver_assignments:
    - load_id: "LOAD001"
      assigned_driver: "DRV002"
      assignment_rationale:
        - "Full HOS availability (11 hours driving)"
        - "Closer to pickup location"
        - "No endorsement requirements"
      schedule:
        deadhead_start: "2026-01-25T08:00:00Z"
        pickup: "2026-01-25T10:00:00Z"
        estimated_delivery: "2026-01-25T15:30:00Z"
        required_breaks:
          - type: "30_min_break"
            location: "Rest Area - I-70 Mile 85"
            time: "2026-01-25T12:30:00Z"
  hos_projections:
    DRV002:
      after_load:
        driving_remaining: 5.5
        duty_remaining: 7.5
        reset_required_by: "2026-01-26T19:00:00Z"
  compliance_alerts: []

Integration Points

Electronic Logging Devices (ELD)
Fleet Management Systems
Transportation Management Systems (TMS)
Driver Mobile Apps
FMCSA Systems

Performance Metrics

HOS violation rate
Driver utilization rate
Load acceptance rate
On-time pickup percentage
Driver satisfaction score

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.