Install in seconds
Install this skill
Copy the command and run it in your terminal. You can review the source before installing.
terminal
git clone https://github.com/0xsline/OpenChatCut

Works with Git. The repository opens in your current directory.

🎬
AI EngineeringTypeScript

OpenChatCut

by 0xsline

Connect AI coding agents to OpenChatCut, a local-first video editor, to inspect and edit video projects programmatically. Automate timeline edits, transcripts, captions, media, motion graphics, audio, color grading, and export.

837 stars109 forksAdded 2026/08/06
agent-skillsagentic-aiai-agentai-video-editorcapcutchatcutclaude-codecodexdesktop-appelectronffmpeglocal-firstmcpopen-sourceopenchatcutremotiontext-based-video-editingtimeline-editorvideo-editingvideo-editor

Documentation

README

OpenChatCut

OpenChatCut is a local-first, agent-native video editor. This skill is the single external entry point; specialized editing guidance remains inside the running editor and is loaded on demand with load_skill.

Route the task

  • Install, connect, or diagnose the MCP server: read references/getting-started.md.
  • Inspect or modify a project: read references/editing-workflow.md.
  • Recover from a failed tool call, stale session, or missing editor: read references/known-errors.md.

Essentials

  1. Start OpenChatCut before connecting. The default MCP endpoint is http://localhost:5199/api/external-mcp/mcp.
  2. Call openchatcut_status, then list_projects. Select a project only when the user names it or the current context identifies it.
  3. Call load_skill before specialized work. It is read-only and requires neither begin_edit_session nor editSessionId; available names and support files come from the live MCP tool description.
  4. Before project reads or edits, call begin_edit_session. Keep its editSessionId and pass it to every draft-safe editor tool.
  5. Use approvalMode: "manual" unless the user explicitly asks for unattended application. In manual mode, the user approves the complete proposal in OpenChatCut. In auto mode, review_edit_session applies the complete draft.
  6. Finish with review_edit_session. Report success only after get_edit_session returns applied.

Skill version

2026-08-01.1

The OpenChatCut MCP server announces its required skill baseline. If the server baseline is newer, run:

npx skills update openchatcut

Fallback command:

npx skills add 0xsline/OpenChatCut --skill openchatcut