LightningTweeter
A lightning strike detector using the AS9535 sensor from AMS, that tweets about detected storms.
Install / Use
/learn @Hexalyse/LightningTweeterREADME
LightningTweeter
This script uses the AS9535 sensor to detect lightning strikes and send tweets with related information : lightning energy, distance to the storm.
Dependencies
This script uses those libraries :
- RaspberryPi-AS3935 :
pip install RPi_AS3935 - Tweepy :
pip install tweepy
You also need to configure I2C on your Raspberry Pi. Adafruit made a tutorial explaining how to.
If you want to know more about how I use it, you can read this article.
Related Skills
node-connect
344.1kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
96.8kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
344.1kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
344.1kQQBot 富媒体收发能力。使用 <qqmedia> 标签，系统根据文件扩展名自动识别类型（图片/语音/视频/文件）。
