DeepCamera/skills.json at master · SharpAI/DeepCamera · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
{
  "version": "1.0.0",
  "repository": "SharpAI/DeepCamera",
  "updated": "2026-03-02",
  "description": "AI skill catalog for SharpAI Aegis. Each skill is a self-contained folder with a SKILL.md manifest.",
  "categories": {
    "detection": "Object detection, person recognition, visual grounding",
    "analysis": "VLM scene understanding, interactive segmentation",
    "transformation": "Depth estimation, style transfer, video effects",
    "annotation": "Dataset labeling, COCO export, training data",
    "camera-providers": "Camera brand integrations — clip feed, live stream",
    "streaming": "RTSP/WebRTC live view via go2rtc",
    "channels": "Messaging platform channels for Clawdbot agent",
    "automation": "MQTT, webhooks, Home Assistant triggers",
    "integrations": "Smart home and IoT platform bridges"
  },
  "skills": [
    {
      "id": "home-security-benchmark",
      "name": "Home Security AI Benchmark",
      "description": "LLM & VLM evaluation suite for home security AI — tests dedup, classification, tool use, and scene analysis.",
      "version": "1.0.0",
      "category": "analysis",
      "path": "skills/analysis/home-security-benchmark",
      "tags": [
        "benchmark",
        "llm",
        "vlm",
        "testing",
        "evaluation",
        "security"
      ],
      "platforms": [
        "linux-x64",
        "linux-arm64",
        "darwin-arm64",
        "darwin-x64",
        "win-x64"
      ],
      "requirements": {
        "node": ">=18",
        "ram_gb": 1
      },
      "capabilities": [
        "benchmark",
        "report_generation"
      ],
      "ui_unlocks": [
        "benchmark_report"
      ]
    },
    {
      "id": "yolo-detection-2026",
      "name": "YOLO 2026 Object Detection",
      "description": "State-of-the-art real-time object detection — 80+ COCO classes, bounding box overlays, multi-size model selection.",
      "version": "1.0.0",
      "category": "detection",
      "path": "skills/detection/yolo-detection-2026",
      "tags": [
        "detection",
        "yolo",
        "object-detection",
        "real-time",
        "coco"
      ],
      "platforms": [
        "linux-x64",
        "linux-arm64",
        "darwin-arm64",
        "darwin-x64",
        "win-x64"
      ],
      "requirements": {
        "python": ">=3.9",
        "ram_gb": 2
      },
      "capabilities": [
        "live_detection",
        "bbox_overlay"
      ],
      "ui_unlocks": [
        "detection_overlay",
        "detection_results"
      ],
      "fps_presets": [
        0.2,
        0.5,
        1,
        3,
        5,
        15
      ],
      "model_sizes": [
        "nano",
        "small",
        "medium",
        "large"
      ]
    },
    {
      "id": "smarthome-bench",
      "name": "SmartHome Video Anomaly Benchmark",
      "description": "VLM evaluation suite for video anomaly detection in smart home camera footage — 7 categories, 105 curated clips from SmartHome-Bench.",
      "version": "1.0.0",
      "category": "analysis",
      "path": "skills/analysis/smarthome-bench",
      "tags": [
        "benchmark",
        "vlm",
        "video",
        "anomaly-detection",
        "smart-home"
      ],
      "platforms": [
        "linux-x64",
        "linux-arm64",
        "darwin-arm64",
        "darwin-x64",
        "win-x64"
      ],
      "requirements": {
        "node": ">=18",
        "ram_gb": 2,
        "system_deps": [
          "yt-dlp",
          "ffmpeg"
        ]
      },
      "capabilities": [
        "benchmark",
        "report_generation"
      ],
      "ui_unlocks": [
        "benchmark_report"
      ]
    },
    {
      "id": "homesafe-bench",
      "name": "HomeSafe Indoor Safety Benchmark",
      "description": "VLM evaluation suite for indoor home safety hazard detection — 40 tests across 5 categories: fire/smoke, electrical, trip/fall, child safety, falling objects.",
      "version": "1.0.0",
      "category": "analysis",
      "path": "skills/analysis/homesafe-bench",
      "tags": [
        "benchmark",
        "vlm",
        "safety",
        "hazard",
        "indoor"
      ],
      "platforms": [
        "linux-x64",
        "linux-arm64",
        "darwin-arm64",
        "darwin-x64",
        "win-x64"
      ],
      "requirements": {
        "node": ">=18",
        "ram_gb": 2
      },
      "capabilities": [
        "benchmark"
      ],
      "ui_unlocks": [
        "benchmark_report"
      ]
    }
  ]
}