carrier-selection-optimizer
Automated carrier evaluation and selection skill using multi-criteria decision analysis for optimal freight procurement
npx skills add a5c-ai/babysitter --skill carrier-selection-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.
# Carrier Selection Optimizer ## Overview The Carrier Selection Optimizer is an automated skill that evaluates and selects optimal carriers for freight shipments using multi-criteria decision analysis. It combines performance metrics, cost analysis, capacity availability, and service level requirements to recommend the best carrier for each shipment while supporting strategic procurement decisions. ## Capabilities - **Carrier Performance Scoring**: Calculate and maintain composite performance scores based on on-time delivery, damage rates, and customer feedback - **Rate Comparison and Analysis**: Compare contracted rates, spot rates, and accessorial charges across carriers for cost optimization - **Capacity Availability Checking**: Real-time verification of carrier capacity and equipment availability for requested lanes and dates - **Service Level Matching**: Match shipment requirements with carrier capabilities including transit times, handling requirements, and special services - **Historical Performance Benchmarking**: Analyze carrier performance trends and compare against industry benchmarks - **Contract Compliance Validation**: Verify that carrier selections comply with contra
- Overview
- Capabilities
- Tools and Libraries
- Used By Processes
- Usage
- Integration Points
- Performance Metrics
What does the carrier-selection-optimizer skill do?
Automated carrier evaluation and selection skill using multi-criteria decision analysis for optimal freight procurement
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill carrier-selection-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.