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route-optimizer

Generate a production-grade Vehicle Routing Problem (VRP) solver using Google OR-Tools — supports CVRP (capacity), VRPTW (time windows), VRPPD (pickup + delivery), multi-depot, multi-trip, heterogeneous fleet, driver hours-of-service (HOS) compliance, and soft-vs-hard window constraints with penalty modeling. Input: stops CSV (lat/lng/demand/window) + vehicle config + depots. Output: optimized routes (one per vehicle), total miles/duration/cost, GeoJSON FeatureCollection for map rendering, OSRM/Mapbox-compatible turn-by-turn URLs, KPI report (utilization, on-time %, last-mile cost share). Last-mile delivery accounts for over 50% of total shipping cost — optimizing it is the highest-leverage logistics fix. TRIGGER on "route optimization", "VRP", "vehicle routing", "delivery routing", "last mile", "OR-Tools routing", "courier routes", "TSP/VRP", "dispatch optimization", or any user describing multi-stop dispatch.

v2.0.1New
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Install this skill

Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.

npx @skills-hub-ai/cli install route-optimizer
Or download directly:
Browse all CLI commands →

Setup by platform

Claude Code

~/.claude/skills/<skill>/SKILL.md

Setup guide →

Install

One-click setup for your editor

Run in your project root

npx @skills-hub-ai/cli install route-optimizer --target claude-code

Instructions

This skill doesn’t include stateful context yet, instructions only. Learn about stateful skills.

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Frequently asked questions about route-optimizer

What does the route-optimizer skill do?

Generate a production-grade Vehicle Routing Problem (VRP) solver using Google OR-Tools — supports CVRP (capacity), VRPTW (time windows), VRPPD (pickup + delivery), multi-depot, multi-trip, heterogeneous fleet, driver hours-of-service (HOS) compliance, and soft-vs-hard window constraints with penalty modeling. Input: stops CSV (lat/lng/demand/window) + vehicle config + depots. Output: optimized routes (one per vehicle), total miles/duration/cost, GeoJSON FeatureCollection for map rendering, OSRM/Mapbox-compatible turn-by-turn URLs, KPI report (utilization, on-time %, last-mile cost share). Last-mile delivery accounts for over 50% of total shipping cost — optimizing it is the highest-leverage logistics fix. TRIGGER on "route optimization", "VRP", "vehicle routing", "delivery routing", "last mile", "OR-Tools routing", "courier routes", "TSP/VRP", "dispatch optimization", or any user describing multi-stop dispatch. It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.

How do I install the route-optimizer skill?

Run `npx @skills-hub-ai/cli install route-optimizer` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/route-optimizer/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

Which AI tools does route-optimizer work with?

route-optimizer runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Is the route-optimizer skill free?

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

How do I use route-optimizer after installing it?

In Claude Code, type `/route-optimizer` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Can I share the route-optimizer skill with my team?

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.