技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
clawdsense【数据与研究】Real-time image analysis from ClawdSense ESP32 dongle. Monitors media receiver, captures photos from device, analyzes instantly with Groq Vision. Use when ClawdSense sends photos via /photo command or button controls. Provides instant room analysis, occupancy detection, and environmental awareness.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Real-time image capture and analysis from ClawdSense ESP32 dongle.
# Terminal 1: Media receiver (accepts photo uploads from ESP32)
node ~/clawd/clawdsense-skill/scripts/media-receiver.js
# Terminal 2: Analyzer (monitors inbound folder, analyzes with Groq)
node ~/clawd/clawdsense-skill/scripts/analyzer.js
# Terminal 3: Health monitor (keeps both services alive)
node ~/clawd/clawdsense-skill/scripts/health-monitor.js
/photo command to ClawdSense via TelegramMedia Receiver (port 5555)
~/.clawdbot/media/inbound//inbound/photo - JPEG photos/inbound/audio - WAV audio/inbound/video - AVI videoAnalyzer (real-time polling)
Health Monitor
Device must be configured with:
MEDIA_RECEIVER_URL = "http://localhost:5555"
or for public: "https://your-ngrok-url"
Stored in environment:
export GROQ_API_KEY="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"
"Media receiver is DOWN"
node ~/clawd/clawdsense-skill/scripts/media-receiver.js"No new photos detected"
"Groq API errors"
references/groq-vision-api.md for Groq setupreferences/esp32-setup.md for device configuration