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Add the skill system foundation for DeepCamera's evolution into an AI skill platform for SharpAI Aegis. New files: - skills.json: Registry manifest listing available skills - skills/detection/yolo-detection-2026/SKILL.md: First skill spec with parameters, capabilities, setup instructions, and JSON-lines protocol - skills/detection/yolo-detection-2026/requirements.txt: Python dependencies - skills/detection/yolo-detection-2026/scripts/detect.py: Working reference implementation using ultralytics YOLO with stdin/stdout JSON-lines protocol Updated: - README.md: Check 'Skill architecture' roadmap item The skill architecture uses a pluggable SKILL.md interface where each skill declares parameters (rendered as config UI in Aegis) and capabilities (what the skill can do). Skills communicate via JSON lines over stdin/stdout.
- .gitignore: modernize with Python, ML models, Docker, IDE sections - CONTRIBUTING.md: add skill-focused contributing guide - CODE_OF_CONDUCT.md: update to Contributor Covenant 2.1 - Contributions.md: refresh third-party acknowledgments for 2026 - FUNDING.yml: move to .github/ (GitHub convention) - docs/skill-development.md: add comprehensive skill development guide covering SKILL.md format, parameter types, JSON-lines protocol, and skill categories
Add README.md inside src/ so visitors immediately understand the 19 modules, their purpose, and status (Production/Experimental/Legacy). Includes ASCII architecture diagram and evolution table mapping legacy modules to their new skill equivalents.
Add SKILL.md manifests for the complete DeepCamera skill platform: Detection (3): - yolo-detection-2026: YOLOv11/v10 real-time detection - dinov3-grounding: open-vocabulary detection - person-recognition: cross-camera ReID Analysis (2): - vlm-scene-analysis: offline VLM clip understanding - sam2-segmentation: click-to-segment (Segment Anything 2) Transformation (1): - depth-estimation: Depth Anything v2 depth maps Annotation (1): - dataset-annotation: AI-assisted COCO annotation + export Camera Providers (5): - blink, eufy, reolink, tapo, ring Streaming (1): - go2rtc-cameras: multi-camera RTSP to WebRTC Channels (3): - matrix, line, signal messaging channels Automation (3): - mqtt, webhook, ha-trigger Integrations (1): - homeassistant-bridge: bidirectional HA integration Also updates skills.json registry manifest with all 20 skills.
- Remove camera-providers/blink and camera-providers/ring (built into Aegis) - Remove blink/ring from skills.json registry - Add requirements.txt and working Python scripts for all 18 skills: Detection: dinov3-grounding/ground.py, person-recognition/detect.py Analysis: vlm-scene-analysis/analyze.py, sam2-segmentation/segment.py Transformation: depth-estimation/transform.py Annotation: dataset-annotation/annotate.py (CocoDatasetManager) Camera Providers: eufy/feed.py, reolink/feed.py, tapo/feed.py Streaming: go2rtc-cameras/stream.py Channels: matrix/channel.py, line/channel.py, signal/channel.py Automation: mqtt/mqtt_publish.py, webhook/webhook.py, ha-trigger/ha_trigger.py Integrations: homeassistant-bridge/bridge.py All scripts follow the JSON-lines stdin/stdout protocol defined in SKILL.md.
… feature/consolidate-unmerged # Conflicts: # README.md # skills.json
… feature/consolidate-unmerged # Conflicts: # skills.json
…ure/consolidate-unmerged # Conflicts: # README.md
…/consolidate-unmerged
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