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weather-data

Apps & Automation
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Fetch and analyze weather data for specified locations. Use when you need current weather conditions, forecasts, or weather-related analytics for decision-making or integration with Chainlit chat responses.

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How to use this skill

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Weather Data Skill

Purpose

This skill enables fetching and analyzing real-time weather data from public APIs. It's useful for:

  • Getting current weather conditions for any location
  • Retrieving weather forecasts
  • Integrating weather data into Chainlit chat responses
  • Performing weather-based analytics

How to Use This Skill

1. Fetch Current Weather

Use the helper script to get current weather for a location:

python scripts/fetch_weather.py --location "London" --units metric

2. Available Parameters

  • --location: City name or coordinates (required)
  • --units: metric (Celsius) or imperial (Fahrenheit), default: metric
  • --lang: Language for response, default: en

3. Output Format

Returns JSON with:

  • Temperature, feels like temperature
  • Weather condition and description
  • Humidity and pressure
  • Wind speed and direction
  • Sunrise/sunset times
  • Data collection timestamp

Example Integration with Chainlit

import subprocess
import json

async def get_weather_response(location: str):
    # Call the weather skill
    result = subprocess.run(
        ["python", "scripts/fetch_weather.py", "--location", location],
        capture_output=True,
        text=True
    )

    if result.returncode == 0:
        weather_data = json.loads(result.stdout)
        return format_weather_message(weather_data)
    else:
        return f"Could not fetch weather for {location}"

def format_weather_message(data):
    return f"""
    Weather in {data['city']}, {data['country']}:
    - Temperature: {data['temp']}°C (feels like {data['feels_like']}°C)
    - Condition: {data['description']}
    - Humidity: {data['humidity']}%
    - Wind: {data['wind_speed']} m/s
    """

Supported Locations

The skill supports:

  • City names (e.g., "London", "New York")
  • City, Country format (e.g., "Paris, France")
  • Coordinates in latitude,longitude format (e.g., "51.5074,-0.1278")

Error Handling

The script includes error handling for:

  • Invalid locations (returns helpful error message)
  • Network connectivity issues
  • API rate limiting
  • Malformed coordinates

Testing the Skill

Test with different locations:

# Major cities
python scripts/fetch_weather.py --location "Tokyo"

# With units specification
python scripts/fetch_weather.py --location "New York" --units imperial

# Using coordinates
python scripts/fetch_weather.py --location "51.5074,-0.1278"

Data Sources

Uses Open-Meteo API (free, no authentication required):

  • Real-time weather data
  • Global coverage
  • Accurate forecasts
  • No rate limiting for reasonable use

Notes

  • Data is cached locally for 10 minutes to improve performance
  • All temperature data is provided in the requested unit
  • Wind speeds are in m/s (metric) or mph (imperial)
  • Times are in UTC unless otherwise specified