AugmentClaude

OpenChatCut

Edit local video projects with timeline, captions, and motion graphics tools.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.

    This copies the whole skill folder into ~/.claude/skills/openchatcut-0xsline/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Connect an MCP-capable coding agent to OpenChatCut and edit local video projects. Use when the user asks to install, connect, or set up OpenChatCut; inspect or edit an OpenChatCut project; work with its timeline, transcript, captions, media, generation, motion graphics, audio, color, or export tools; or recover from an OpenChatCut MCP error.

What this skill does

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. With progressive exposure enabled, this call reveals the skill's referenced tools and emits tools/list_changed; refresh the list before continuing.
  4. Before project reads or edits, call begin_edit_session. Keep its editSessionId and pass it to every draft-safe editor tool.
  5. If begin_edit_session reports an active session, call list_edit_sessions. An orphaned session may be resumed or discarded with recover_edit_session using an action listed in recoveryActions; an online owner must finish or discard its own session.
  6. 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.
  7. Finish with review_edit_session. Report success only after get_edit_session returns applied.

Skill version

2026-09-04.1

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

Related skills