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Found 11 Skills
Supercharged video tools for downloading, speed controls, scrubbing, transcriptions, clipping, conversions and more
Process audio and video with clipping, conversion, analysis, captions, thumbnails, GIFs, and batch utilities. Use for practical media manipulation workflows.
Edit existing videos with AI using each::sense. Apply effects, color grading, speed changes, trimming, transitions, style transfer, and visual enhancements. Transform raw footage into polished content. Use for: color grading, speed ramping, style transfer, video enhancement, social media edits, content post-production. Triggers: edit video, video editing, color grade, speed change, video effects, trim video, video filter, slow motion, timelapse, video style, video enhance, post production
The long-form-to-Shorts + sound-off captions mini-skill (Opus Clip / CapCut / Submagic). Use when someone wants to "clip my podcast/webinar/long video into Shorts," "make TikToks/Reels from a YouTube video," "add captions/subtitles to a video," "repurpose long-form into short-form," or "auto-generate clips." Tools clip and caption; a human reviews; WoopSocial schedules/publishes. Below the ai-video router; sibling to veo-3, heygen, ai-voiceover. This is the general craft: route OpusClip-specific pipelines (credits, Virality Score, tiers) to opus-clip, hands-on short-form editing to capcut, and the long-form talk edit itself to descript. Export clean (no watermark); disclose AI-edited video.
Professional AI Video Storyboard Designer. This skill must be used when users want to create videos, make storyboard scripts, generate AI video prompts, or plan video content structures. It covers all video types: short videos, commercials, educational content, brand videos, vlogs, micro-films, etc. Even if users only say "Help me make a video" or "I want to create content on the theme of XX", this skill should be triggered. It outputs professional storyboard designs + prompts that can be directly used in mainstream AI video tools like Seedance 2.0 (Jimeng), Sora, Kling, Runway, Veo, etc. Among them, Seedance 2.0 supports specialized output with multimodal @ reference syntax.
Generate video clips: prompt-to-video, image-to-video, reference-guided, extend, upscale, reframe; text CONTENT → -motion. Draft cheap, then hero render. Metered.
Generate videos using Seedance models. Invoke when user wants to create videos from text prompts, images, or reference materials.
Use Gemini Omni Flash Preview through AnyCap for practical short-video editing workflows. Trigger when a user wants to edit or refine an existing video with natural-language instructions, especially product replacement, object removal or replacement, relighting, restyling, preserving a person/scene while changing one element, or using reference images with a source video. Covers model/schema discovery, prompt construction, AnyCap CLI command patterns, scenario-specific templates, video QA, and retry strategy for `gemini-omni-flash-preview` / `edit-video`.
Use when editing footage that already exists on Scenario through MCP with a tool model instead of a new generation: 3D LUT grading, color correction, film grain, vignette, blur, sharpen, glow, tint, desaturate, posterize, solarize, cubism, crystallize, oilify, chromatic aberration or dodge and burn on a clip; trimming to a time range, splitting at cut points, reversing, resizing, re-encoding, frame extraction, image sequences, background removal, segmentation masks, subjects as layers.
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.
The model-agnostic AI-video router and brief — the counterpart to image-prompt. Use when someone asks "which AI video tool should I use," "make an AI video," "generate B-roll / a talking-head / a voiceover," "turn this long video into Shorts," or needs a video brief. Routes the job to the right tool by fit and writes a portable brief; the tool generates, the human assembles, WoopSocial schedules/publishes. Sits above the tool skills: veo-3, kling, luma (generative scenes), heygen, synthesia (avatars), ai-voiceover, captions-and-clipping. A real human on camera routes to talking-head-and-piece-to-camera. Never routes to discontinued tools.