Weather & Webcam for Openclaw

A professional automation skill that retrieves live weather data and captures high-resolution webcam images for real-time visual confirmation of local conditions.

alex1389
v1.2.0
Feb 27, 2026
0
294
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install weather-location

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install weather-location using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Weather & Webcam?

The Weather & Webcam skill is designed to provide AI agents with the ability to look beyond simple text-based forecasts. By integrating the power of Openclaw Skills with automated browser interaction, this tool fetches real-time meteorological data from wttr.in and simultaneously captures live visual snapshots from premier sources like Meteoblue and Windy.

This skill solves the challenge of visual verification in weather reporting. It uses advanced browser automation to navigate complex web interfaces, handle cookie consent banners, and extract high-resolution imagery that would otherwise be inaccessible through standard API calls. It is an essential component for developers building comprehensive travel, monitoring, or environmental AI assistants.

Weather & Webcam Use Cases

  • Verifying current sky conditions and visibility for travel planning or outdoor events.
  • Automating environmental monitoring by capturing live visual data from specific geographic locations.
  • Providing rich-media weather updates in AI-driven concierge or personal assistant applications.
  • Cross-referencing digital weather forecasts with actual visual evidence for higher accuracy.

How Weather & Webcam Works

  1. The skill initiates a curl request to the wttr.in service to retrieve a text-based summary of the current temperature, humidity, and wind conditions for the requested location.
  2. It performs a targeted search to identify the direct URL for live webcams on Meteoblue or Windy specifically for that location.
  3. Utilizing the agent-browser tool, the skill navigates to the webcam page, automatically interacting with the DOM to accept cookie banners and open gallery views.
  4. A specialized JavaScript snippet evaluates the page to find the highest resolution image URL, typically filtering for files located in /full/ directories or containing original.jpg.
  5. The skill downloads the final image to a local workspace and packages it with the weather metadata to be sent as a multi-modal response to the user.

Weather & Webcam Setup

To deploy this functionality within your Openclaw Skills environment, ensure you have the required binary dependencies installed on your system.

# Install the agent-browser tool globally via npm
npm install -g agent-browser

# Ensure curl is available on your path
sudo apt-get install curl

# Create the local workspace directory for image storage
mkdir -p /home/user/.openclaw/workspace/

Weather & Webcam Data Schema & Taxonomy

The skill manages its data output using a structured path and specific formatting for metadata retrieval:

Data Type Destination / Format Purpose
Webcam Image /home/user/.openclaw/workspace/webcam.jpg Stores the most recent high-resolution capture.
Weather Summary wttr.in/[Location]?format=%l:+%c+%t+%h+%w Formats data as: Location: Icon Temperature Humidity Wind.
Browser Session --session-name webcam Maintains cookies and state to optimize repeated requests.

Weather & Webcam Advanced Features

  • Session Persistence: Uses named browser sessions to retain cookie consent, drastically reducing interaction time for subsequent requests.
  • Intelligent DOM Selection: Executes custom JavaScript in the browser context to find the highest quality image source instead of low-resolution thumbnails.
  • Robust Fallback Logic: Primarily utilizes agent-browser for high-quality extraction while allowing for scraper fallbacks if browser environments are restricted.
  • Integrated Media Response: Automatically attaches the visual snapshot to the weather report for a seamless user experience within the Openclaw Skills ecosystem.

SKILL.md


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