What problem does it solve? Configuring Frigate NVR involves complex YAML with many failure modes: bus errors from insufficient shared memory, green video from resolution mismatches, missing audio in recordings, and high CPU usage without hardware acceleration. This Skill provides tested configuration patterns and troubleshooting guidance that prevent these common errors. ## Core Features & Use Cases - YAML Configuration Generation: Produce minimal or full-featured Frigate configs with cameras, detectors (Coral TPU, OpenVINO, ONNX), recording retention, zones, and motion masks. - Hardware Acceleration Setup: Configure Intel QSV/VAAPI, NVIDIA, AMD, or Raspberry Pi decoding presets with correct Docker device mappings. - Troubleshooting & Validation: Diagnose issues like database locks, Coral detection failures, and MQTT connection errors, plus validate configs with a bundled script. - Use Case: When adding a new RTSP camera to a Home Assistant setup, generate a complete Frigate config with separate detect/record streams, zone-based alerts, and go2rtc WebRTC streaming in one pass. ## Quick Start Ask the AI to generate a Frigate configuration for your camera's RTSP URL with a Coral TPU detector and recording retention enabled.
