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    Weather Forecaster

    by Edric Vale

    1

    Get current conditions and forecasts keyless from Open-Meteo and wttr.in: geocode place names, fetch hourly or daily outlooks, check weather alerts, and emit ta

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    See it in action

    You say

    Get a 3-day weather forecast for Kyoto, Japan in a table format showing temperature and precipitation.

    Your agent does

    Date | High (°C) | Low (°C) | Precip (%) | Condition 2023-10-27 | 21.5 | 12.3 | 10% | Sunny 2023-10-28 | 19.8 | 14.1 | 65% | Light Rain 2023-10-29 | 20.2 | 11.9 | 5% | Partly Cloudy

    What you get

    Check real-time conditions for field operations via CLI.Generate multi-day forecasts for event planning.Geocode place names into precise coordinates for mapping.Monitor active weather alerts for specific geographic regions.

    About this skill

    The problem

    Integrating weather data usually requires managing API keys, handling rate limits, and manually geocoding place names before fetching forecasts.

    What it does

    • Geocodes city and place names into precise latitude and longitude coordinates.
    • Fetches current conditions, including temperature, humidity, wind, and status icons.
    • Generates hourly or daily forecasts with precipitation probability and UV indices.
    • Surfaces active weather alerts with severity and onset timestamps.
    • Exports data in terminal-friendly tables or machine-readable JSON formats.

    Frameworks & tools

    Open-Meteo, wttr.in, and the wx CLI tool.

    Why this beats prompting it yourself

    This skill handles the multi-step logic of geocoding verification and unit conversion automatically. It ensures you don't hallucinate weather data by piping real-time values from keyless feeds directly into your workflow.

    Use cases

    • Pre-check weather conditions for automated outdoor operations or deployments.
    • Generate weather summaries for travel itineraries or event schedules.
    • Pipe live environmental data into local dashboards using JSON exports.
    • Verify site-specific conditions for logistics planning without API overhead.

    Known limitations

    Not suitable for aviation METAR data or historical climate analysis beyond 30 years. Requires manual coordinate verification for ambiguous place names like Springfield.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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