gasgo

Rank Colombian fuel stations by price and travel distance using live data.

3|2|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/broomva/skills --skill gasgo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gasgo
Source: https://github.com/broomva/skills/tree/main/skills/utilities/gasgo
Command: npx skills add https://github.com/broomva/skills --skill gasgo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bun, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the difficulty of finding real-time, cost-effective fuel prices in Colombia by aggregating open data and applying a sophisticated ranking model that accounts for both price and detour costs.

Core Features & Use Cases

  • Live Price Ranking: Ranks GNCV stations using live data from the Colombian government's open data portal.
  • Detour Cost Modeling: Calculates the effective cost of a fuel stop by factoring in the price per unit and the round-trip detour distance.
  • Use Case: A driver in Bogotá can use this to find the cheapest GNCV station within a 10km radius, ensuring the savings on fuel aren't lost to the cost of driving to a distant station.

Quick Start

Use the gasgo skill to find the top 5 cheapest GNCV stations within 20 kilometers of Bogotá.

Frequently Asked Questions about gasgo

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

FAQPage Schema
How do I find the cheapest fuel stations in Colombia without wasting money on travel distance?

Finding the cheapest fuel stations in Colombia requires analyzing both price and detour distance. A custom ranking engine calculates the effective cost by factoring in the fuel price per unit and the round-trip detour distance to ensure savings aren't lost to travel.

Can I query live GNCV natural gas prices across major Colombian cities using open data?

Querying live GNCV prices across major Colombian cities is possible using Socrata API integration with the government's open data portal. The system retrieves live price data and normalizes it for GNCV, gasoline, and diesel to provide accurate fuel-specific rankings.

How does geographic coordinate processing work for ranking nearby fuel stations?

Geographic coordinate processing for ranking fuel stations works by calculating the round-trip detour distance from your location to each station. This distance is combined with the fuel price per unit to model the effective cost of a stop, ensuring the ranking reflects true savings.

Do I need Bun installed to run fuel price analysis on the Socrata API?

Bun is required to run this fuel price analysis skill. The environment uses Bun as its runtime dependency to execute scripts that integrate with the Socrata API, process geographic coordinates, and normalize fuel-specific price data for the ranking engine.

What's the best way to calculate detour costs when comparing gasoline and diesel prices?

The best way to calculate detour costs when comparing gasoline and diesel prices is to use a ranking model that combines price normalization with geographic distance. This approach evaluates the effective cost of a fuel stop by factoring both the price per unit and round-trip travel.

Why does a cheaper fuel price sometimes result in a higher effective cost?

A cheaper fuel price can result in a higher effective cost when the round-trip detour distance to the station outweighs the per-unit savings. The ranking engine models this by combining detour cost and fuel price, showing that distant stations may not actually save money.