laomo-weather for Openclaw

A comprehensive bilingual weather skill providing real-time forecasts, air quality indices, and lifestyle advice using free global APIs.

mrzhangkris
v2.1.0
Mar 15, 2026
0
1.4k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install laomo-weather

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 laomo-weather 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 laomo-weather?

laomo-weather is a versatile utility designed for the Openclaw Skills ecosystem that delivers hyper-localized weather insights across more than 1,000 cities globally. It integrates multiple free data sources like wttr.in and Open-Meteo to ensure high availability and accuracy without requiring expensive API keys.

The skill excels in providing a holistic view of the environment, combining standard meteorological data with critical health and lifestyle metrics. By supporting both Chinese and English natively, it serves as an essential bridge for international users and developers needing reliable environmental data within their AI agent workflows.

laomo-weather Use Cases

  • Checking daily weather forecasts and temperature trends for local or international cities.
  • Monitoring air quality (AQI) and PM2.5 levels for health and safety.
  • Tracking pollen counts (Tree, Grass, Ragweed, Mold) for allergy management.
  • Receiving extreme weather alerts for rain, snow, or thunderstorms.
  • Planning travel by comparing weather conditions across multiple destinations simultaneously.
  • Obtaining lifestyle suggestions such as clothing advice, car wash suitability, and outdoor exercise recommendations.

How laomo-weather Works

  1. The user initiates a request via the CLI using a city name, airport code, or geographic coordinates.
  2. The Geocoder component identifies the location and performs automatic geocoding if necessary.
  3. The skill attempts to fetch primary data from wttr.in, with an automatic fallback to Open-Meteo to ensure maximum reliability.
  4. Specialized modules like WAQIAPI and PollenAPI retrieve supplementary air quality and allergen data.
  5. The SuggestionsEngine processes the raw meteorological data to generate human-readable lifestyle advice.
  6. The Formatter generates the final output in the user's preferred format (Text, Table, or JSON) and language (English or Chinese).

laomo-weather Setup

To use this tool within the Openclaw Skills environment, ensure you have curl installed on your system. No API keys are required.

# Install the skill (if using an agent manager)
openclaw install laomo-weather

# Run a basic check
weather Beijing

laomo-weather Data Schema & Taxonomy

The skill organizes data into a structured format suitable for both human reading and programmatic consumption.

Component Data Points Included
Core Weather Temperature, Condition, Humidity, Wind Speed
Environmental AQI (PM2.5, PM10), Pollen Levels (Tree, Grass, Mold)
Safety Extreme Weather Alerts (Rain, Snow, Thunderstorm)
Metadata City Name Mapping, Latitude/Longitude, Language Tags
Formats Plain Text (Default), Markdown Tables, structured JSON

laomo-weather Advanced Features

  • Multi-City Comparison: Use the --compare flag to analyze weather differences between multiple regions in a single view.
  • Smart Language Detection: Automatically detects query language (Chinese vs. Latin characters) or falls back to system locales.
  • Bilingual Output Templates: Fully localized templates for both English and Chinese users.
  • Custom Formatting: Supports JSON output for easy integration with other Openclaw Skills or external automated pipelines.
  • Geocoding Support: Accepts input as city names, airport codes, or raw GPS coordinates.

SKILL.md


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