Specify a webhook-driven task for OpenClaw
Describe event inputs, validation, deduplication, and intended actions before integration work.
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--- name: clawdsense-06b71c1cf554 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 ```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 ``` ### Usage 1. **Send `/photo` command to ClawdSense** via Telegram 2. **Device captures and POSTs to media receiver** (port 5555) 3. **Analyzer detects new photo** and analyzes with Groq Vision 4. **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: ```bash 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: clawdsense-06b71c1cf554 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 ```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 ``` ### Usage 1. **Send `/photo` command to ClawdSense** via Telegram 2. **Device captures and POSTs to media receiver** (port 5555) 3. **Analyzer detects new photo** and analyzes with Groq Vision 4. **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: ```bash 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
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.