driver-scheduling-optimizer
Automated driver assignment and hours of service compliance skill ensuring regulatory compliance and operational efficiency
npx skills add a5c-ai/babysitter --skill driver-scheduling-optimizer --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.
# 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 Sche
- Overview
- Capabilities
- Tools and Libraries
- Used By Processes
- Usage
- Integration Points
- Performance Metrics
What does the driver-scheduling-optimizer skill do?
Automated driver assignment and hours of service compliance skill ensuring regulatory compliance and operational efficiency
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill driver-scheduling-optimizer --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.