Weather Intelligence Digest for Openclaw

A Python-powered automation tool that generates detailed weather briefings and alert monitoring reports using real-time NOAA/NWS data.

dannyboy1241
v1.0.0
Feb 19, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install weather-digest

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-digest 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 Intelligence Digest?

The Weather Intelligence Digest is a sophisticated automation skill designed to provide developers and power users with precise meteorological insights. By leveraging the National Weather Service (NOAA) API, this tool enables the generation of comprehensive weather reports in Markdown format. It is a vital addition to any Openclaw Skills collection, allowing users to consolidate multi-location forecasts and severe weather alerts into a single, actionable document without the need for expensive third-party API keys.

This skill is built for extensibility, allowing technical users to customize the data processing logic and report templates. Whether you are managing outdoor operations or simply want a personalized morning briefing, this tool bridges the gap between raw government data and daily productivity workflows.

Weather Intelligence Digest Use Cases

  • Automating daily weather briefings for multiple geographic office locations.
  • Monitoring severe weather alerts across regional project sites in real-time.
  • Generating data-rich weather summaries for travel planning and transit logistics.
  • Integrating weather intelligence into personal dashboards or team communication channels.

How Weather Intelligence Digest Works

  1. The script initializes by parsing the user-defined config.json file containing specific latitude and longitude coordinates.
  2. It establishes a connection with api.weather.gov to retrieve the latest forecast and alert metadata.
  3. The skill processes the raw JSON response to extract relevant atmospheric data and active warnings.
  4. It utilizes a internal templating engine to format the collected data into a structured Markdown digest.
  5. The generated report is exported to the specified output path for further viewing or automated conversion.

Weather Intelligence Digest Setup

Follow these steps to integrate the weather intelligence tool into your Openclaw Skills environment:

# Navigate to the skill directory
cd skills/weather-digest

# Recommended: Set up a virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install required Python dependencies
pip install -r requirements.txt

# Configure your locations
cp config.example.json config.json
# Edit config.json to include your specific lat/lon coordinates

Weather Intelligence Digest Data Schema & Taxonomy

The skill organizes location data and report metadata through a structured JSON configuration and Markdown output:

Component Format Description
Location Config JSON Contains 'name', 'lat', and 'lon' for each tracked area.
Forecast Data String Periodic weather predictions retrieved from NOAA endpoints.
Alerts List Active NWS weather warnings, watches, and advisories.
Digest Output Markdown A formatted report compatible with PDF or Email converters.

Weather Intelligence Digest Advanced Features

  • Support for custom User-Agent strings to comply with NWS API best practices.
  • Multi-location processing capability for centralized regional monitoring.
  • Customizable report templates via the internal build_digest function.
  • Seamless integration with CLI-based conversion tools for PDF or HTML output generation.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Bins python3pip
Github Stars: 0
forks: 0

Featured*