itechmeat/llm-code

open-meteo

Integrate Open-Meteo Weather Forecast, Air Quality, and Geocoding APIs: query design, variable selection, timezone/timeformat/units, multi-location batching, and robust error handling.

First seen Jan 29, 2026

Installation

$ npx skills add itechmeat/llm-code --skill open-meteo

Summary

  • Integrate Open-Meteo Weather Forecast, Air Quality, and Geocoding APIs: query design, variable selection, timezone/timeformat/units, multi-location batching, and robust error handling.
  • Use when fetching weather forecasts, air quality/pollen data, or geocoding place names to coordinates via Open-Meteo.
  • Keywords: Open-Meteo, /v1/forecast, /v1/air-quality, geocoding-api, hourly, daily, current, timezone=auto, timeformat=unixtime, models, WMO weather_code, CAMS, GeoNames, httpx, FastAPI, pytest.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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Windsurf Not declared
Gemini CLI Not declared
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Repository health

Stars 22
License LICENSE
Default branch master
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.5.6
More metadata
version
1.5.6
release_date
2026-09-04

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,874 B
  • docs SUMMARY.md 514 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 88 installs

SKILL.md

Open Meteo

Goal

Provide a reliable, production-friendly way to call Open-Meteo APIs (Forecast, Air Quality, Geocoding), choose variables, control time/units/timezone, and parse responses consistently.

Steps

  1. Pick the correct API and base URL

- Forecast: https://api.open-meteo.com/v1/forecast - Air Quality: https://air-quality-api.open-meteo.com/v1/air-quality - Geocoding: https://geocoding-api.open-meteo.com/v1/search

  1. Resolve coordinates (if you only have a name)

- Call Geocoding with name and optional language, countryCode, count. - Use the returned latitude, longitude, and timezone for subsequent calls.

  1. Design your time axis (timezone, timeformat, and range)

- Prefer timezone=auto when results must align to local midnight. - If you request daily=..., set timezone (docs: daily requires timezone). - Choose timeformat=iso8601 for readability, or timeformat=unixtime for compactness. - If using unixtime, remember timestamps are GMT+0 and you must apply utcoffsetseconds for correct local dates. - Choose range controls: - forecastdays and optional pastdays, or - explicit startdate/enddate (YYYY-MM-DD), and for sub-daily starthour/endhour.

  1. Choose variables minimally (avoid "download everything")

- Forecast: request only the variables you need via hourly=..., daily=..., current=.... - Air Quality: request only the variables you need via hourly=..., current=.... - Keep variable names exact; typos return a JSON error with error: true.

  1. Choose units and model selection deliberately

- Forecast units: - temperatureunit (celsius / fahrenheit) - windspeedunit (kmh / ms / mph / kn) - precipitationunit (mm / inch) - Forecast model selection: - default models=auto / “Best match” combines the best models. - you can explicitly request models via models=.... - provider-specific forecast endpoints also exist (provider implied by path). See references/models.md (section "Endpoints vs models=") for examples and doc links. - for provider/model-specific selection tradeoffs, see references/models.md. - Air Quality domain selection: - domains=auto (default) or camseurope / camsglobal.

  1. Implement robust request/response handling

- Treat HTTP errors and JSON-level errors separately. - JSON error format is: - {"error": true, "reason": "..."} - When requesting multiple locations (comma-separated coordinates), expect the JSON output shape to change to a list of structures. - Optionally use format=csv or format=xlsx when you need data export.

  1. Validate correctness with a “known city” check

- Geocode “Berlin” → Forecast hourly=temperature2m for 1–2 days → verify timezone and array lengths. - Air Quality hourly=pm10,pm25,europeanaqi → verify units and presence of hourlyunits.

Critical prohibitions

  • Do not include out-of-scope APIs in this skill’s implementation guidance: Historical Weather, Ensemble Models, Seasonal Forecast, Climate Change, Marine, Satellite Radiation, Elevation, Flood.
  • Do not omit timezone when requesting daily variables (per docs).
  • Do not assume unixtime timestamps are local time; they are GMT+0 and require utcoffsetseconds adjustment.
  • Do not silently ignore {"error": true} responses; fail fast with the provided reason.
  • Do not request huge variable sets by default; keep queries minimal to reduce payload and avoid accidental overuse.

Definition of done

  • You can geocode a place name and obtain coordinates/timezone.
  • You can fetch Forecast data with at least one hourly, one daily (with timezone), and one current variable.
  • You can fetch Air Quality data for at least one pollutant and one AQI metric.
  • Your client code handles both HTTP-level failures and JSON-level error: true with clear messages.
  • Attribution requirements from the docs are captured for Air Quality (CAMS) and Geocoding (GeoNames).

Links