openchatcut
Connect an MCP-capable coding agent to OpenChatCut and edit local video projects. Use when the user asks to install, connect, or…
Cut one long podcast, interview, course, livestream, or other source video into social-ready shorts, reels, highlights, or clip timelines from existing project media. Use when the user asks to cut a long video into Shorts, Reels, TikToks, Xiaohongshu posts, best moments,
Claude Code
$ npx -y skills add 0xsline/OpenChatCut --skill long-video-to-shorts --agent claude-code
Codex
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a codex -y
Cursor
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a cursor -y
Gemini CLI
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a gemini-cli -y
GitHub Copilot
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a github-copilot -y
OpenCode
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a opencode -y
Windsurf
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a windsurf -y
name: long-video-to-shorts description: Cut one long podcast, interview, course, livestream, or other source video into social-ready shorts, reels, highlights, or clip timelines from existing project media. Use when the user asks to cut a long video into Shorts, Reels, TikToks, Xiaohongshu posts, best moments, highlights, or multiple clips.
Use this workflow when one long source video carries the output. Supporting clips may exist, but the short-form story comes from selecting self-contained moments inside the long source.
This is a OpenChatCut-native workflow. Use the current project, assets, transcript, timeline, and OpenChatCut editing tools. Do not depend on external download, transcription, ffmpeg, or auto-crop pipelines unless the user explicitly asks for an external source that is not already in the project.
1. Read the project state before editing. Identify the primary long video, duration, language, speakers, current timeline, transcript readiness, visual descriptions, and aspect ratio. 2. Confirm that one long source carries the output. If the project is mainly multiple raw clips with no dominant long source, switch to the Multi Clips to Reels workflow. 3. Determine only missing constraints that would change the edit: platform, clip count, target duration, audience, style, captions/title text, music, and whether the user wants options or direct creation. 4. If more than one missing constraint remains, ask for them in one `<widget>` after loading `widget-forms`. Use text fields for open-ended fields like topic, spoken language, audience, or goals; use single/multi choice fields for bounded choices like platform, count, duration, captions, or music. 5. Use transcript ranges when available. If transcription is unavailable or unreliable, inspect visual/audio content and ask only for missing context that changes selection. 6. Scan for moments that can stand alone: clear setup, hook, claim, proof, emotional turn, lesson, conflict, demonstration, or payoff. Read [references/short-form-selection.md](references/short-form-selection.md) when scoring or comparing candidates. 7. Build a compact candidate plan before heavy editing. For each output include source range, opening hook, why it stands alone, payoff, target duration, platform treatment, and risks. 8. If the user gave enough constraints and asked to create directly, proceed after stating the plan. If the source is very long, the request is vague, or the requested count is high, create or preview the first strongest clip before batching the rest. 9. Cut on clean word, phrase, action, or beat boundaries. Tighten filler, false starts, repeated attempts, and dead time only when meaning and tone stay intact. 10. Package for the target platform: aspect ratio/crop, title text, styled captions, music, light motion graphics, zooms, speed changes, or transitions only when they support the selected moment. 11. QA before reporting done: hook in first seconds, clear payoff, standalone clarity, no misleading title, clean boundaries, platform fit, requested count/duration, timeline names, and export readiness.
When presenting a plan, use this compact shape:
When creating clips, report timeline names, durations, packaging applied, assumptions, and what to review first.
Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering.
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