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Magnus Hedemark
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Each README is written for a human audience, explaining: - What the skill does (not what format it follows) - What benefit the user gets from installing it - Quick setup and usage patterns - When to load/trigger the skill - What scripts, references, and templates it ships data-scientist already had a README — left unchanged. 48 READMEs added across all skill and bundle directories.
38 lines
1.3 KiB
Markdown
38 lines
1.3 KiB
Markdown
# Tempest — Hyper-Local Weather from Your Station
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Query live weather data from a WeatherFlow Tempest station. Current conditions, 7-day forecast, historical observations, and real-time UDP broadcasts.
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## Why Install This Skill
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When your agent loads this skill, it can **check hyper-local weather from your own station** — more accurate than generic services. That means:
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- **Current conditions** — temperature, humidity, wind, rain, UV, solar radiation, barometric pressure
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- **7-day forecast** — daily and hourly outlook with precipitation probability
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- **Historical data** — past observations for analysis
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- **Real-time UDP** — local broadcast reception without cloud dependency
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- **Auto-discovery** — finds your station and sensors automatically
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## What You Get
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| Directory | Purpose |
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|-----------|---------|
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| `SKILL.md` | Complete command reference with examples |
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| `scripts/tempest-cli` | CLI tool for WeatherFlow Tempest API |
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| `references/` | API field layout reference |
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## Quick Start
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```bash
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export TEMPEST_TOKEN="your-token-here"
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tempest-cli current
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tempest-cli forecast
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```
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## Triggers
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Load this for weather, temperature, rain, wind, humidity, forecast, or conditions from a specific Tempest station.
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## Requirements
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Python 3.8+ with `requests` library. Free token from weatherflow.com.
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