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openmeteo-sh-weather-simple

Get current weather and forecasts for any city or coordinates using free OpenMeteo API. Use when the user asks about weather, temperature, rain, snow, wind, or wants to know if they need an umbrella.

Why use this skill?

Integrate real-time weather forecasts and current conditions into your OpenClaw AI agent. Accurate, easy to use, and requires no API keys for global weather data.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/lstpsche/openmeteo-sh-weather-simple
Or

What This Skill Does

The openmeteo-sh-weather-simple skill provides OpenClaw with the ability to retrieve real-time weather information and extended forecasts for any location on Earth. By leveraging the open-source Open-Meteo API via a streamlined CLI interface, this skill eliminates the need for manual API key management. It translates natural language weather queries into structured data, allowing the AI to report on temperature, humidity, precipitation, wind conditions, and UV index. The skill is designed for efficiency, automatically resolving city names to geographic coordinates and allowing for granular control over what weather metrics are retrieved to conserve bandwidth and token usage.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/lstpsche/openmeteo-sh-weather-simple Once installed, the openmeteo command becomes available to your AI agent, enabling immediate weather-aware capabilities without further configuration.

Use Cases

This skill is indispensable for personal assistants and planning agents. Common use cases include:

  • Daily Planning: Assessing if an umbrella or heavy coat is needed before starting the day.
  • Travel Logistics: Checking weather forecasts for trip destinations up to 16 days in advance.
  • Outdoor Planning: Monitoring wind speed and precipitation probability for outdoor events.
  • Contextual Adaptation: Comparing weather across multiple cities when users are planning itineraries or managing remote teams.

Example Prompts

  1. "Is it going to rain in Paris tomorrow? I'm packing for a trip and need to know if I should bring a raincoat."
  2. "What is the current wind speed and temperature in Tokyo?"
  3. "Compare the weather in Seattle and Los Angeles for the next three days so I can decide where to host my outdoor meeting."

Tips & Limitations

  • Precision: When dealing with common city names (e.g., Portland), always specify the country to ensure accuracy. Use the --country flag for disambiguation.
  • Token Efficiency: Only request the specific weather parameters you need. If the user only asks for temperature, avoid requesting full hourly logs.
  • Quoting: Always wrap user-provided string inputs in double quotes within the shell command to prevent injection errors and handle spaces correctly.
  • Persistence: If the user switches focus to a new city, the skill automatically carries over parameter context from previous queries to ensure consistency in the data provided.

Metadata

Author@lstpsche
Stars1601
Views0
Updated2026-02-27
View Author Profile
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Add to Configuration

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

{
  "plugins": {
    "official-lstpsche-openmeteo-sh-weather-simple": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#weather#forecast#climate#utility#open-meteo
Safety Score: 5/5

Flags: network-access, external-api