Loading...
Loading...
Found 73 Skills
Alibaba Cloud Media Processing Service (MPS) one-stop video processing skill. Use when users need video processing, transcoding, snapshot generation, content moderation, or video upload. For video distribution scenarios, complete video upload, snapshot, multi-resolution transcoding, and content moderation in a single workflow for efficient standardized video asset production.
Extract frames or short clips from videos using ffmpeg.
Extracts first and/or last frames of every shot from a video using adaptive scene detection. Use this skill when the user says "extract frames", "get shot frames", "pull frames", "shot breakdown", "scene detect", "first frame of each shot", "last frame of each shot", "extract shots from video", or wants to extract key frames at shot cut points from a video file.
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
Add or remove watermarks from videos using each::sense AI. Add logo watermarks, text overlays, transparent watermarks, animated watermarks, and remove unwanted watermarks from TikTok, stock footage, and other sources.
Swap faces in a video using AI via the HeyGen API. Use when: (1) Replacing a face in a video with another face, (2) Face swapping from a source image onto a target video, (3) Creating personalized videos by swapping in a person's face, (4) Working with HeyGen's /v1/workflows/executions endpoint for face swap processing.
Extract highlights, best moments, and key clips from long videos using each::sense AI. Perfect for gaming highlights, sports clips, podcast moments, webinar summaries, meeting recaps, and auto-trailer generation.
Remove, replace, or modify video backgrounds using each::sense AI. Create transparent backgrounds, virtual offices, green screen effects without green screens, blur effects, and professional video compositing.
Generate reference-based videos with Alibaba Cloud Model Studio Wan R2V (wan2.6-r2v-flash). Use when creating multi-shot videos from reference video/image material, preserving character style, or documenting reference-to-video request/response flows.
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").
Trim, cut, and split videos using each::sense AI. Extract specific segments, remove intros/outros, create social media clips, detect scenes automatically, and batch process multiple videos.
Complete FFmpeg + OpenCV + Python integration guide for video processing pipelines. PROACTIVELY activate for: (1) FFmpeg to OpenCV frame handoff, (2) cv2.VideoCapture vs ffmpeg subprocess, (3) BGR/RGB color format conversion gotchas, (4) Frame dimension order img[y,x] vs img[x,y], (5) ffmpegcv GPU-accelerated video I/O, (6) VidGear multi-threaded streaming, (7) Decord batch video loading for ML, (8) PyAV frame-level processing, (9) Audio stream preservation with video filters, (10) Memory-efficient frame generators, (11) OpenCV + FFmpeg + Modal parallel processing, (12) Pipe frames between FFmpeg and OpenCV. Provides: Color format conversion patterns, coordinate system gotchas, library selection guide, memory management, subprocess pipe patterns, GPU-accelerated alternatives to cv2.VideoCapture. Ensures: Correct integration between FFmpeg and OpenCV without color/coordinate bugs. See also: ffmpeg-python-integration-reference for type-safe parameter mappings.