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Found 60 Skills
Command-line interface for Shotcut - A stateful command-line interface for video editing, built on the MLT XML format. Designed for AI ag...
YouTube clip generation and editing with automated workflows — pull source video, slice highlights, add captions, and export.
Perform video editing. Execute FFmpeg editing based on confirmed deletion tasks, loop until there are no verbal slips, and generate subtitles. Trigger words: Execute editing, Start editing, Confirm editing
This skill applies when OpenStoryline has been installed, and the user needs to start local MCP/Web services, create or continue a session, send editing instructions, perform multi-round re-editing, verify rendered video outputs, or make Chinese requests such as "启动 OpenStoryline", "把 OpenStoryline 跑起来", "用 OpenStoryline 剪视频".
Command-line interface for Kdenlive - A stateful command-line interface for video editing, following the same patterns as the Blender CLI ...
Package beat-level edit enhancement instructions from a B-roll plan, subtitle chunks, and optional style context. Use this when the goal is to turn B-roll matching into editor-ready guidance for keyword emphasis, micro-animation hints, A-roll stay-on-face logic, B-roll coverage style, and subtitle interaction.
Plan short-form post-edit decisions from A-roll, B-roll, scripts, and reference videos. Use this when the goal is not generic video analysis or rendering, but deciding how to cut a social video beat by beat, including where to stay on face, where to insert proof B-roll, how to use reference patterns, and how to package an actionable edit plan for a human editor or downstream timeline tooling.
This skill should be used when the user asks to "convert this video", "change format to mp4", "trim from X to Y", "cut the first X seconds", "speed up this video", "slow motion", "timelapse", "resize video", "scale down", "rotate video", "flip video", "remux", or any general FFmpeg video manipulation not covered by compress-video, make-gif, share-social, extract-audio, or extract-frames.
Generate FFmpeg commands from natural language video editing requests - cut, trim, convert, compress, change aspect ratio, extract audio, and more.
Edit videos locally using ffmpeg. Trim, concat, resize, speed, overlay, extract audio, compress, and convert. Use when: (1) Trimming or cutting video segments, (2) Concatenating multiple clips, (3) Resizing video for social platforms, (4) Extracting or replacing audio, (5) Compressing video, (6) Converting video formats, (7) Getting video info.
Build a semantic inventory of local B-roll assets for edit planning. Use this when the goal is not yet to decide the final cut, but to understand what B-roll exists, what each asset proves, which ranges are usable, and how the asset library should be packaged for downstream matching.
Use when the user has a long-form video (interview / lecture / podcast / conversation) and a transcript SRT, and wants to extract 3–6 stand-alone topical short clips from it. This skill ONLY cuts and crops — it produces raw clips + per-clip SRTs as a hand-off package for downstream post-production (`/wjs-overlaying-video`). Triggers — "切成几段", "分主题", "拆成短视频", "切片", "topic segments", "split into clips".