operator-opportunity-radar

Name: operator-opportunity-radar
Availability: InStock
Author: haulcommand-max

Rank operator next jobs by win probability and suggested actions.

Updated Feb 26, 2026

Search Tags:#probability #logistics #retention #opportunities #ranking #operator #matching

Ready to run

npx skills add https://github.com/haulcommand-max/haul-command --skill operator-opportunity-radar

💬 Prompt for ChatGPT / Claude Chat▼

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.