SkillHub

weather-forecast

v1.0.0

This skill should be used when users ask about weather forecasts, temperature information, or need to retrieve weather data for specific locations. It provides access to the Open-Meteo weather API for getting hourly temperature forecasts based on latitude and longitude coordinates.

Sourced from ClawHub, Authored by alex098929

Installation

Please help me install the skill `weather-forecast` from SkillHub official store. npx skills add alex098929/weather-forecast

Weather Forecast Skill

This skill enables querying weather forecasts using the Open-Meteo API, providing hourly temperature data for any location worldwide.

When to Use This Skill

Activate this skill when: - Users ask for weather information or forecasts - Users inquire about temperatures at specific locations - Users mention weather-related queries that require current or future data - Users provide location names and expect weather details

Skill Components

Scripts

The scripts/get_weather.py script provides a reliable, reusable way to fetch weather data from the Open-Meteo API. This script is used instead of writing API calls from scratch each time because: - API endpoints and parameters need to be consistent - Error handling for network requests is standardized - JSON parsing and data extraction is automated - The script can be executed without loading into context

References

The references/api_response_format.md contains documentation about the Open-Meteo API response structure, including: - Request parameters (latitude, longitude, hourly data types) - Response format and field meanings - Time zone handling - Error conditions

Workflow

When this skill is activated:

  1. Extract location information from the user's query. This may include:
  2. City names (e.g., "Beijing", "Shanghai", "New York")
  3. Specific coordinates (latitude, longitude)
  4. Descriptive locations (e.g., "my current location")

  5. Convert location to coordinates:

  6. If city name is provided, use geocoding to get latitude and longitude
  7. If coordinates are provided directly, use them as-is
  8. Common city coordinates (saved in memory): Beijing (39.9042, 116.4074), Shanghai (31.2304, 121.4737), New York (40.7128, -74.0060), London (51.5074, -0.1278), Tokyo (35.6762, 139.6503)

  9. Execute the weather script using the coordinates:

  10. Run scripts/get_weather.py with latitude and longitude parameters
  11. The script returns structured weather data including hourly temperatures

  12. Present results to the user in a natural, readable format:

  13. Summarize key information (current temperature, high/low, forecast)
  14. Include relevant time information (next 24 hours or specific times mentioned)
  15. Use units appropriate to the context (Celsius by default, Fahrenheit if requested)

Important Notes

  • The Open-Meteo API provides hourly forecasts, not just current weather
  • Temperature values are in Celsius by default
  • The API is free and requires no authentication
  • Coordinate precision: up to 4 decimal places for better accuracy
  • If coordinates are not available for a location, inform the user and ask for coordinates or a different location

Example Interactions

User: "What's the weather like in Beijing?" Action: Extract "Beijing", use coordinates (39.9042, 116.4074), run script, present forecast

User: "Will it be cold in Tokyo tomorrow?" Action: Extract "Tokyo" and "tomorrow", use coordinates (35.6762, 139.6503), run script, present tomorrow's temperature

User: "Get the temperature for latitude 52.52 and longitude 13.41" Action: Use provided coordinates directly, run script, present hourly data

User: "How hot will it be in Shanghai today?" Action: Extract "Shanghai", use coordinates (31.2304, 121.4737), run script, identify maximum temperature for today