openchatcut

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🇺🇸

Original

English
🇨🇳

Translation

Chinese

OpenChatCut

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
.
OpenChatCut是一款本地优先、Agent原生的视频编辑器。本技能是唯一的外部入口;专业的编辑指导仍在运行中的编辑器内部,并通过
load_skill
按需加载。

Route the task

任务路由

  • 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
    .
  • 安装、连接或诊断MCP服务器:阅读
    references/getting-started.md
  • 查看或修改项目:阅读
    references/editing-workflow.md
  • 从失败的工具调用、过期会话或缺失编辑器中恢复:阅读
    references/known-errors.md

Essentials

核心要点

  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. 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
    .
  1. 连接前先启动OpenChatCut。默认MCP端点为
    http://localhost:5199/api/external-mcp/mcp
  2. 先调用
    openchatcut_status
    ,再调用
    list_projects
    。仅当用户指定项目名称或当前上下文明确项目时,才选择项目。
  3. 进行专业操作前调用
    load_skill
    。该操作为只读,无需
    begin_edit_session
    editSessionId
    ;可用名称和支持文件来自实时MCP工具描述。启用渐进式暴露后,此调用会展示技能引用的工具并触发
    tools/list_changed
    ;继续操作前请刷新工具列表。
  4. 在读取或编辑项目前,调用
    begin_edit_session
    。保留其
    editSessionId
    并将其传递给所有支持草稿的编辑器工具。
  5. 除非用户明确要求无人值守执行,否则使用
    approvalMode: "manual"
    。手动模式下,用户需在OpenChatCut中批准完整提案;自动模式下,
    review_edit_session
    会应用完整草稿。
  6. 最后调用
    review_edit_session
    。仅当
    get_edit_session
    返回
    applied
    时,才报告操作成功。

Skill version

技能版本

2026-08-10.1
The OpenChatCut MCP server announces its required skill baseline. If the server baseline is newer, run:
bash
npx skills update openchatcut
Fallback command:
bash
npx skills add 0xsline/OpenChatCut --skill openchatcut
2026-08-10.1
OpenChatCut MCP服务器会公布其要求的技能基准版本。若服务器基准版本更新,请运行:
bash
npx skills update openchatcut
备用命令:
bash
npx skills add 0xsline/OpenChatCut --skill openchatcut