operator-opportunity-radar

Rank operator next jobs by win probability and suggested actions.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/haulcommand-max/haul-command --skill operator-opportunity-radar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: operator-opportunity-radar
Source: https://github.com/haulcommand-max/haul-command/tree/main/skills/operator_opportunity_radar
Command: npx skills add https://github.com/haulcommand-max/haul-command --skill operator-opportunity-radar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Operators often miss the best-matching opportunities; operator-opportunity-radar surfaces their highest-probability next jobs to increase engagement and retention.

Core Features & Use Cases

  • Ranking factors: Nearby load density, match likelihood, revenue potential, competition level, and timing window.
  • Output: Top opportunities — ranked list of 5-10 best-fit loads for the operator; win probability for each; suggested actions to improve chances (update availability, adjust rate, expand corridor coverage).
  • Use Case: When an operator is available, generate a prioritized list of opportunities to maximize engagement and retention.

Quick Start

Provide an operator profile and available loads, then request a ranked list of the top 5 opportunities with win probabilities.

Frequently Asked Questions about operator-opportunity-radar

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I rank logistics opportunities for operators to improve driver retention?

Rank logistics opportunities for operators by evaluating nearby load density, match likelihood, revenue potential, competition level, and timing windows. This generates a prioritized list of best-fit loads to maximize driver engagement and retention.

What factors determine the win probability for matching operators to available loads?

Win probability for matching operators to loads is determined by equipment compatibility, operator experience, reputation, service area, and timing windows. These ranking factors calculate the likelihood of a successful match for real-time logistics opportunities.

How are suggested actions generated for increasing an operator's chances of winning a load?

Suggested actions for increasing an operator's chances of winning a load are generated alongside win probabilities. Recommendations include updating availability, adjusting rates, or expanding corridor coverage to improve the operator's ranking against real-time loads.

Can I use operator opportunity matching for real-time loads within a specific service area?

Yes, you can apply operator opportunity matching to real-time loads within a specific service area. The system requires an operator profile and available loads to output a ranked list of 5-10 best-fit opportunities tailored to that region.

What is the best way to surface the top next jobs for available logistics operators?

The best way to surface top next jobs for available logistics operators is to generate a ranked list of 5-10 high-probability opportunities. This prioritization considers load density, revenue potential, and match likelihood to boost engagement.

Do I need an operator profile and available loads to start ranking job opportunities?

Yes, you need to provide an operator profile and available loads to start ranking job opportunities. Submitting these inputs allows the system to calculate win probabilities and output a prioritized list of the top 5 best-fit matches.