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Magnus Hedemark 738ec715e7 Add human-focused README.md to every skill and bundle directory

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.

2026-07-09 22:30:12 -04:00

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Tempest — Hyper-Local Weather from Your Station

Query live weather data from a WeatherFlow Tempest station. Current conditions, 7-day forecast, historical observations, and real-time UDP broadcasts.

Why Install This Skill

When your agent loads this skill, it can check hyper-local weather from your own station — more accurate than generic services. That means:

Current conditions — temperature, humidity, wind, rain, UV, solar radiation, barometric pressure
7-day forecast — daily and hourly outlook with precipitation probability
Historical data — past observations for analysis
Real-time UDP — local broadcast reception without cloud dependency
Auto-discovery — finds your station and sensors automatically

What You Get

Directory	Purpose
`SKILL.md`	Complete command reference with examples
`scripts/tempest-cli`	CLI tool for WeatherFlow Tempest API
`references/`	API field layout reference

Quick Start

export TEMPEST_TOKEN="your-token-here"
tempest-cli current
tempest-cli forecast

Triggers

Load this for weather, temperature, rain, wind, humidity, forecast, or conditions from a specific Tempest station.

Requirements

Python 3.8+ with requests library. Free token from weatherflow.com.

1.3 KiB Raw Blame History