How do I install the Clawdsense skill?

Run npx skillmds@latest add kbarbel640-del/clawdsense in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Clawdsense safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Clawdsense?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Clawdsense free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Clawdsense?

kbarbel640-del (@kbarbel640-del) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Clawdsense by kbarbel640-del — Agent Skill

Name: Clawdsense
Rating: 4.2 (5 reviews)
Author: kbarbel640-del

Clawdsense

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.

kbarbel640-del Updated Sep 8, 2026 1 repo stars

File contents

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 /photo command 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

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.md for Groq setup
See references/esp32-setup.md for device configuration

---name: clawdsensedescription: 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 SkillReal-time image capture and analysis from ClawdSense ESP32 dongle.## Quick Start### Start Services```bash# 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```### Usage1. **Send `/photo` command to ClawdSense** via Telegram2. **Device captures and POSTs to media receiver** (port 5555)3. **Analyzer detects new photo** and analyzes with Groq Vision4. **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**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 SettingsDevice must be configured with:```MEDIA_RECEIVER_URL = "http://localhost:5555"or for public: "https://your-ngrok-url"```### Groq API KeyStored in environment:```bashexport 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.md` for Groq setup- See `references/esp32-setup.md` for device configuration

Frequently asked questions