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ev-charger

Find EV charging stations along a route or near a destination using Camino AI's location intelligence with OpenStreetMap data.

Why use this skill?

Efficiently locate electric vehicle charging stations using OpenClaw and Camino AI. Get real-time data for route planning and infrastructure searches.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/james-southendsolutions/camino-ev-charger
Or

What This Skill Does

The ev-charger skill provides OpenClaw agents with precise, real-time location intelligence for electric vehicle charging infrastructure. Built on top of the robust Camino AI location services and leveraging the comprehensive OpenStreetMap dataset, this skill allows users to seamlessly integrate EV search capabilities into their automated workflows. Whether you are planning a long-distance road trip, managing a fleet, or simply looking for the nearest rapid charger in an urban environment, this skill provides the necessary geographic data to make informed decisions. It intelligently parses natural language queries to identify charger types, locations, and search radii, returning ranked results to ensure you find the most reliable charging options.

Installation

You can install the ev-charger skill using the standard OpenClaw ecosystem tools. For immediate access, use the Clawhub CLI:

npx clawhub@latest install openclaw/skills/skills/james-southendsolutions/camino-ev-charger

Alternatively, if you are working within the Camino AI suite, you can install the full repository via npm:

npx skills add https://github.com/barneyjm/camino-skills --skill ev-charger

Ensure you have configured your CAMINO_API_KEY in your environment variables to enable external data fetching from the Camino API. Failure to set this variable will result in connection errors during execution.

Use Cases

This skill is designed for a variety of logistics and personal productivity scenarios:

  • Trip Planning: Automatically find charging stops along a route to minimize range anxiety.
  • Fleet Management: Identify stations near specific coordinates for recharging corporate electric vehicles.
  • Urban Navigation: Search for high-speed charging hubs near specific city addresses or landmarks.
  • AI Agent Automation: Empower your OpenClaw agent to assist users in planning road trips that account for battery limitations and infrastructure availability.

Example Prompts

  1. "Find all Tesla Superchargers within 10 kilometers of my current location in downtown San Francisco."
  2. "Search for EV charging stations in Austin, Texas that are open 24/7 and have a maximum capacity of 50kW."
  3. "Plan a route from Los Angeles to Las Vegas and list charging stations along the way every 150 miles."

Tips & Limitations

  • API Limits: Keep in mind that the trial version provides only 25 calls. For production or high-volume usage, ensure you have signed up for the 1,000 calls/month plan via the Camino portal.
  • Precision: While the AI is robust at resolving locations, providing explicit latitude and longitude coordinates will always yield more accurate results than relying on ambiguous city names.
  • Data Freshness: The skill uses OpenStreetMap data; while extremely comprehensive, infrastructure status (like broken chargers) may occasionally lag behind real-world conditions. Always verify with official network apps for critical long-range trips.

Metadata

Stars2032
Views0
Updated2026-03-05
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-james-southendsolutions-camino-ev-charger": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#ev-charging#geospatial#location-intelligence#road-trip#transportation
Safety Score: 5/5

Flags: external-api, network-access