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Found 42 Skills
Analyze video files using ffprobe, mp4dump, and jq. Use when investigating video samples, keyframes, MP4 box structure, codec info, packet timing, or debugging video playback issues.
Analyze local or downloaded social video files with the official Gemini API, especially for TikTok/Reels benchmark breakdowns, script decomposition, and structured JSON outputs. Use this when you need video-level analysis beyond metadata, including uploading video files, prompting Gemini 3.1 Pro Preview, and linking results back to source metadata.
Video understanding for any model — native passthrough for small files, frame extraction + audio transcription fallback for large files. Use when the user asks to analyze, describe, or understand a video file (e.g. "what's in this video", "summarize this clip", "transcribe this recording").
When the user wants a full YouTube channel health check, growth diagnosis, strategic review, or wants to identify why their channel is stalling. Also use when the user says 'audit my channel,' 'channel review,' 'why is my channel not growing,' 'channel health check,' 'what's wrong with my channel,' 'growth blockers,' 'YouTube audit,' 'channel diagnosis,' 'strategic review.' For single video analysis, see video-analysis. For strategic repositioning, see channel-strategy.
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video. Triggers: "azure-ai-contentunderstanding", "ContentUnderstandingClient", "multimodal analysis", "document extraction", "video analysis", "audio transcription".
Miscellaneous CTF tools for programming challenges, esoteric languages, QR/barcode scanning, and audio/video analysis. Trigger: When solving misc challenges, esoteric languages, QR codes, or media files.
Process multimodal inputs (images, video, audio, PDFs) with Gemini 3 Pro. Covers image understanding, video analysis, audio processing, document extraction, media resolution control, OCR, and token optimization. Use when analyzing images, processing video, transcribing audio, extracting PDF content, or working with multimodal data.
Open Source Computer Vision Library (OpenCV) for real-time image processing, video analysis, object detection, face recognition, and camera calibration. Use when working with images, videos, cameras, edge detection, contours, feature detection, image transformations, object tracking, optical flow, or any computer vision task.
Automatically analyze Bilibili video content, download videos and split them into frame images, use AI to analyze and generate detailed thematic documents or practical tutorials.
Build production computer vision pipelines for object detection, tracking, and video analysis. Handles drone footage, wildlife monitoring, and real-time detection. Supports YOLO, Detectron2, TensorFlow, PyTorch. Use for archaeological surveys, conservation, security. Activate on "object detection", "video analysis", "YOLO", "tracking", "drone footage". NOT for simple image filters, photo editing, or face recognition APIs.
Produce video analysis reports by discovering the deployed VSS agent, querying POST /generate for a timestamped captioned summary of the clip, then formatting the agent reply as the standard Video Analysis Report markdown.
Inspect multiple reference or benchmark videos shot by shot, record observable visual and audio evidence independently for each source, then synthesize their recurring short-form style grammar, one-off details, imitation boundaries, and generator risks in one human-readable Markdown report. Use before image prompt construction, video request architecture, Seedance workflow creation, or batch media generation when reference footage defines the desired production language.