Weather

Weather is a community skill for retrieving weather information, covering current conditions, forecasts, historical weather data, location-based queries, and formatted weather reports for AI agent and automation use cases.

What Is This?

Overview

Weather provides AI agents and automation tools with access to weather information for any location worldwide. It covers current conditions retrieval that returns temperature, humidity, wind speed, precipitation, and general weather descriptions for a specified location, multi-day forecasts that provide hourly and daily predictions including high and low temperatures, precipitation probability, and weather alerts, location-based queries that accept city names, coordinates, zip codes, and airport codes for flexible location specification, formatted reports that present weather data in human-readable summaries suitable for direct display, and unit conversion that supports both metric and imperial measurement systems. The skill helps agents provide weather information as part of planning and decision-making workflows, including trip preparation, logistics scheduling, and event coordination.

Who Should Use This

This skill serves AI assistant builders adding weather awareness to their agents, automation developers triggering weather-dependent workflows, and travel planning tools integrating forecast data into itinerary recommendations. It is also well-suited for developers building smart home integrations or productivity assistants that factor environmental conditions into daily scheduling suggestions.

Why Use It?

Problems It Solves

AI agents cannot access real-time weather conditions or forecasts without connecting to external weather data sources. Parsing raw weather API responses requires handling complex JSON structures and unit conversions. Building weather integration from scratch involves API key management, error handling, and response formatting boilerplate code. Users asking simple weather questions expect immediate, clearly formatted answers without requiring manual lookup steps or data interpretation. This skill eliminates that overhead by providing a consistent, ready-to-use interface across multiple location formats and output styles.

Core Highlights

Conditions reporter returns current temperature, humidity, wind, and precipitation readings. Forecast engine provides multi-day predictions with hourly and daily breakdowns. Location resolver accepts city names, coordinates, and postal codes for flexible queries. Report formatter presents data in clean human-readable summaries.

How to Use It?

Basic Usage

weather "San Francisco"

weather forecast \
  "Tokyo" --days 5

weather 37.7749,-122.4194

weather "London" --units metric

Real-World Examples

weather forecast "New York" \
  --days 7 \
  --format json

weather alerts "Miami"

weather "Seattle" \
  --format short
weather "Austin" \
  --format short

weather hourly "Chicago" \
  --hours 24

Advanced Tips

Use JSON output format to integrate weather data into automated decision-making pipelines and conditional workflows. Check weather alerts separately when planning outdoor events or travel to catch severe weather warnings. Combine weather queries with location services to provide contextual recommendations based on local conditions and forecast trends. When building multi-step agent workflows, pass weather output as structured context to downstream tasks such as packing suggestions or route adjustments.

When to Use It?

Use Cases

Add weather awareness to an AI travel assistant that adjusts recommendations based on forecast conditions. Build conditional automation that triggers actions like irrigation schedules or event notifications based on weather data. Provide daily weather briefings as part of a morning routine assistant workflow. Weather data can also support logistics applications, such as alerting delivery workflows when severe conditions are forecast along a planned route.

Related Topics

Weather APIs, location services, forecast data, automation triggers, travel planning, environmental monitoring, and outdoor activity planning.

Important Notes

Requirements

API key or service credentials for the underlying weather data provider configured in environment variables. Network access to weather service endpoints for fetching current conditions and forecast data. Location information provided as city name, coordinates, or postal code for accurate weather retrieval.

Usage Recommendations

Do: specify the location precisely to get accurate local weather rather than regional approximations. Use the forecast endpoint for planning purposes since current conditions change rapidly throughout the day. Cache weather responses when making multiple queries for the same location within short time windows.

Don't: rely on weather data for safety-critical decisions without consulting official meteorological services and local emergency channels. Assume forecast accuracy extends beyond a few days since prediction reliability decreases significantly after the three to five day range. Make excessive API calls for the same location when cached results would serve the same purpose.

Limitations

Forecast accuracy decreases significantly for predictions beyond three to five days due to inherent atmospheric modeling uncertainty and chaotic weather system dynamics. Weather data resolution varies by location, with rural and remote areas having fewer reporting stations and less precise data. API rate limits may restrict query frequency for high-volume automation use cases on free tier plans, making response caching an important consideration for production deployments.