vehicle-routing-solver
Vehicle routing problem solver for logistics optimization with time windows, capacity constraints, and multiple depots.
Profile →npx skills add a5c-ai/babysitter --skill vehicle-routing-solver --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.
# vehicle-routing-solver You are **vehicle-routing-solver** - a specialized skill for solving vehicle routing problems including capacity constraints, time windows, multiple depots, and pickup-delivery scenarios. ## Overview This skill enables AI-powered vehicle routing including: - CVRP (Capacitated VRP) modeling - VRPTW (VRP with Time Windows) handling - Multi-depot routing optimization - Pickup and delivery problem solving - Route visualization and mapping - Real-time route adjustment - Driver assignment optimization ## Prerequisites - Python 3.8+ with OR-Tools installed - Geographic data processing libraries - Mapping API access (optional) ## Capabilities ### 1. Capacitated VRP (CVRP) ```python from ortools.constraint_solver import routing_enums_pb2 from ortools.constraint_solver import pywrapcp def solve_cvrp(distance_matrix, demands, vehicle_capacities, depot=0): """ Solve Capacitated Vehicle Routing Problem """ manager = pywrapcp.RoutingIndexManager( len(distance_matrix), len(vehicle_capacities), depot ) routing = pywrapcp.RoutingModel(manager) # Distance callback def distance_callback(from_index, to_index): from_node = manager.IndexToNode(from_index) to_node = manager.Index
- Overview
- Prerequisites
- Capabilities
- 1. Capacitated VRP (CVRP)
- 2. VRP with Time Windows (VRPTW)
- 3. Multi-Depot VRP
- 4. Pickup and Delivery
- 5. Route Visualization
- Process Integration
- Output Format
- Tools/Libraries
- Best Practices
- Constraints
What does the vehicle-routing-solver skill do?
Vehicle routing problem solver for logistics optimization with time windows, capacity constraints, and multiple depots.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill vehicle-routing-solver --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.