2.2k★by snail3d
clawdsense – OpenClaw Skill
clawdsense is an OpenClaw Skills integration for data analytics workflows. 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.
Skill Snapshot
| name | clawdsense |
| description | 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. OpenClaw Skills integration. |
| owner | snail3d |
| repository | snail3d/voice-devotionalpath: clawdsense-skill |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @snail3d/voice-devotional:clawdsense-skill |
| last updated | Feb 7, 2026 |
Maintainer

name: clawdsense description: 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.
ClawdSense Skill
Real-time image capture and analysis from ClawdSense ESP32 dongle.
Quick Start
Start Services
# 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
Usage
- Send
/photocommand to ClawdSense via Telegram - Device captures and POSTs to media receiver (port 5555)
- Analyzer detects new photo and analyzes with Groq Vision
- Results printed to console
Architecture
Three Components
Media Receiver (port 5555)
- Accepts multipart/form-data uploads from ESP32
- Stores photos in
~/.clawdbot/media/inbound/ - Endpoints:
- POST
/inbound/photo- JPEG photos - POST
/inbound/audio- WAV audio - POST
/inbound/video- AVI video
- POST
Analyzer (real-time polling)
- Polls inbound folder every 500ms
- Detects new photos automatically
- Sends to Groq Vision API for analysis
- Uses pixtral-12b model for instant results
Health Monitor
- Checks both services every 30s
- Restarts if either dies
- Logs status to console
Performance
- Detection latency: ~500ms (polling interval)
- Analysis time: 1-3s (Groq API)
- Total end-to-end: ~2-5s from capture to results
Configuration
ESP32 Firmware Settings
Device must be configured with:
MEDIA_RECEIVER_URL = "http://localhost:5555"
or for public: "https://your-ngrok-url"
Groq API Key
Stored in environment:
export GROQ_API_KEY="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"
Troubleshooting
"Media receiver is DOWN"
- Check if port 5555 is in use
- Restart:
node ~/clawd/clawdsense-skill/scripts/media-receiver.js
"No new photos detected"
- Is device sending to media receiver? Check device logs
- Is media receiver running? Curl http://localhost:5555/health
- Check inbound folder permissions
"Groq API errors"
- Verify API key is set
- Check account quota/billing
References
- See
references/groq-vision-api.mdfor Groq setup - See
references/esp32-setup.mdfor device configuration
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- OpenClaw CLI installed and configured.
- Language: Markdown
- License: MIT
- Topics:
Configuration
### ESP32 Firmware Settings Device must be configured with: ``` MEDIA_RECEIVER_URL = "http://localhost:5555" or for public: "https://your-ngrok-url" ``` ### Groq API Key Stored in environment: ```bash export GROQ_API_KEY="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" ```
FAQ
How do I install clawdsense?
Run openclaw add @snail3d/voice-devotional:clawdsense-skill in your terminal. This installs clawdsense into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/snail3d/voice-devotional. Review commits and README documentation before installing.
