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Found 60 Skills
Remove pauses, filler words (um, uh), and dead air from raw YouTube recordings via the Tubeify API. Use when the user wants to edit a video, clean up audio, trim silences, or polish a raw recording for YouTube.
Resize photos and videos to exact pixel dimensions or aspect ratios using Adobe tools. Use this skill whenever a user wants to resize, scale, or change the dimensions of an image or video file — including phrases like "resize this to 1920x1080", "make this 4K", "scale to 800x600", "change the aspect ratio to 16:9", "resize my video", "make the image smaller", "crop to square", "fit this to a specific size", "resize for print", "resize for web", "make it 300 DPI ready", "change canvas size", "resize a batch of photos", or any request specifying target dimensions (W×H, ratio, or named size like "4K", "HD", "A4"). Also triggers for: "make this fit a specific size", "resize to [any dimension]", "I need this at [WxH]", "scale my video down", "change resolution", "downscale", "upscale". NOT for social media platform sets (use adobe-create-social-variations for that). Uses image_crop_and_resize for photos, video_resize for videos.
Assemble final video from generated clips, audio, and assets using FFmpeg or Remotion. Handles concatenation, audio mixing, transitions, titles, and export. Use when combining multiple production outputs into a final deliverable.
Change ANYTHING inside a video — background, scene, lighting, outfit, weather, mood — from a free-form prompt, while keeping the EXACT original facial identity, motion, speech, audio AND closest supported output ratio. Edits the first frame with gpt-image-2, then propagates that look across the clip with Kling reference-video using the original clip as the identity anchor. Triggers: "change anything in my video", "edit my video with a prompt", "change the background of this video", "change my outfit in this clip", "restyle this video without changing the person", "put me on a beach", "make this video at night", "/fix-my-look".
Prepend a 4s viral hook + optional designed title to a user's video, then hard-cut into the real clip. An attention-grabbing event erupts into the user's OWN scene; the title is rendered in-scene by Seedance. One MCP call does the whole render. Requires Pika MCP. Triggers: "add a viral hook", "disruption hook on my video", "hook + title on my clip", "viral hook with typography", "scroll-stopper intro".
Generate chapter lists for Bilibili videos. Trigger scenarios: (1) Need to create Bilibili video chapters (2) User says "convert to Bilibili format", "generate chapters", "generate Bilibili chapters" (3) Need to generate video segments from subtitles (4) Process video progress bar segment markers
Command-line interface for Openscreen — a screen recording editor. A stateful CLI for editing screen recordings with zoom, speed ramps, trim, crop, annotations, and polished exports. Built on the Openscreen JSON project format with ffmpeg as the rendering backend. Designed for AI agents and power users who need programmatic video editing.
Build video editing interfaces using Editframe's GUI web components. Assemble timeline, scrubber, filmstrip, preview, and playback controls like lego bricks. Use when creating video editors, editing tools, or when user mentions timeline, scrubber, preview, playback controls, trim handles, or wants to build editing UIs.
Video editing tool that requires no ffmpeg installation. All video processing is executed in the cloud - no local ffmpeg installation needed. If both input and output are URLs or Alibaba Cloud OSS, this skill is the preferred choice. Can generate Timeline configuration based on editing requirements and material information, submit Alibaba Cloud editing tasks, wait for task completion, and output the final video URL. Use when the user wants to edit videos, mentions video editing, clipping, 剪辑，视频制作，视频拼接，视频合成，or needs to process media files into videos.
Match spoken edit beats to candidate B-roll assets using a normalized transcript, subtitle chunking, optional A-roll analysis, and a reusable B-roll catalog. Use this when the goal is to decide what B-roll should support each beat, not just to list assets or describe the video.
Turn long videos into social-ready clips with auto-detection, face-tracking reframe, and opus-style captions
Generate AI videos using ByteDance Seedance models via Volcengine Ark API. Supports text-to-video, image-to-video (first frame, first+last frame), multimodal reference (images+videos+audio), video editing, video extension, web search enhancement, audio generation, draft mode, offline inference, and continuous video chaining. Use when user wants to generate, create, edit, or extend AI videos from text prompts, images, videos, or audio.