Estimate driving/taxi duration, distance, and rough cost between two cities using the bundled distance matrix CSV. Use this skill when comparing ground travel options or validating itinerary legs.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: search-driving-distance description: Estimate driving/taxi duration, distance, and rough cost between two cities using the bundled distance matrix CSV. Use this skill when comparing ground travel options or validating itinerary legs.
Search Driving Distance
Look up distance/duration between an origin and destination.
Installation
pip install pandas numpy requests
Quick Start
from search_driving_distance import GoogleDistanceMatrix
matrix = GoogleDistanceMatrix()
print(matrix.run("Seattle", "Portland", mode="driving"))
More by benchflow-ai
View allRepair an (often imperfect) Flexible Job Shop Scheduling baseline into a downtime-feasible, precedence-correct schedule while staying within policy budgets and matching the evaluator’s exact metrics and “local minimal right-shift” checks.
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
Extract locational marginal prices (LMPs) from DC-OPF solutions using dual values. Use when computing nodal electricity prices, reserve clearing prices, or performing price impact analysis.
This skill should be used when the user asks to "design package structure", "create managed package", "configure 2GP", "set up namespace", "version management", or mentions managed package topics like "LMA", "subscriber orgs", or "package versioning". Provides comprehensive guidance for second-generation managed package (2GP) architecture, ISV development patterns, and package lifecycle management.
