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- Register yolo-detection-2026 in skills.json with FPS presets and model sizes - Rewrite SKILL.md: model_size selection (nano/small/medium/large), FPS presets - Rewrite detect.py: model_size→ultralytics mapping, frame_id echo, AEGIS_SKILL_PARAMS - Create deploy.sh: zero-assumption bootstrapper (Python/conda/pyenv, CUDA/ROCm/MPS/CPU) - Per-backend requirements files (cuda/rocm/mps/cpu) - Create config.yaml with default parameters - Create docs/detection-protocol.md: full JSONL protocol spec, bbox format, backpressure
- Add auto_start boolean to YOLO 2026 config.yaml - Expand skill-development.md: config.yaml schema format, deploy.sh, environment variables, skills.json registration, status values
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