openchatcut
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…
Use when the agent should ask the user for structured input with an in-chat form, including single-select, multi-select, text fields, style pickers, or voice audition choices.
$ npx -y skills add 0xsline/OpenChatCut --skill widget-forms --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/widget-formsContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when the agent should ask the user for structured input with an in-chat form, including single-select, multi-select, text fields, style pickers, or voice audition choices.
name: widget-forms description: Use when the agent should ask the user for structured input with an in-chat form, including single-select, multi-select, text fields, style pickers, or voice audition choices.
Use the form tool instead of hand-writing markup: the editor chat renders the form as an interactive card and returns the user's structured answer.
Call `ask_followup_questions`. It serializes your fields into the editor's native form card; the user's submission comes back as their next message.
Plan the whole questionnaire before calling the tool. Send one final form, not a trial form followed by a corrected form. The tool supports at most 12 fields; if the user asks for more questions, merge related prompts into combined fields before the first call.
After calling `ask_followup_questions`, stop the turn and wait for the submitted answer to appear in chat. Do not apply a choice, create assets, or continue planning from a recommendation until the user's selection is present in the conversation.
Build a `fields` array. Write every visible string in the user's conversation language.
For form-level text (`title`, `prompt`, `fields[].label`, `submitLabel`, and `messagePrefix`), write like OpenChatCut is a capable video-making partner inviting the user to describe what they want, not like a rigid survey.
Aim for:
closest video need or just tell me your idea; we can figure it out together."
question labels.
not claim unsupported abilities or guarantee a result before inputs are known.
"Motion Graphics", "MG 动画", model/product names, and platform names in their established forms.
prefer natural terms such as idea, direction, plan, story, shot list, audience, mood, or video need over internal production-document language.
Avoid stiff labels such as "Select video type", "Please choose the video type for this project", or "What type of video do you want to make?" for scenario intake unless the host has no room for warmer copy.
For a scenario-intake form, prefer copy like:
{
"title": "What do you want to make?",
"prompt": "Choose the closest video scenario, or choose Something else and describe your idea.",
"submitLabel": "Start creating",
"messagePrefix": "I want to start with this video direction:",
"fields": [
{
"id": "scenario",
"label": "Which scenario fits your video best?",
"type": "single",
"variant": "scenario",
"otherPlaceholder": "For example: turn my travel footage into an atmospheric vlog / make a launch video for a new product"
}
]
}Do not include file-upload questions in forms. If a task actually needs source media and the project/chat does not already have it, ask the user separately to upload files in the editor (drag & drop or the upload button, or paste into the chat composer). File upload is not a default prerequisite for every questionnaire; only ask for it when the next editing step depends on missing media.
For choice fields:
options label-only. Do not add per-option `description` unless the user cannot distinguish the choices from labels alone.
use only `preview` + `label`.
`id: "__other__"` and a `label` in the same language as the rest of the form, using the word the user would expect for an off-list answer. The widget will turn this option into a text entry when selected. Use `otherPlaceholder` if the text entry needs a placeholder.
For visual cards:
`action: "list"` first, then map each returned preset to `{ id: preset.presetId, label: preset.name }` (no thumbnails in this build).
For voice cards:
or a public HTTPS URL. Do not pass localhost sample URLs; MCP host iframes do not reliably resolve editor-local media.
way the native OpenChatCut audition UI does: gender / age range / tone / use case, such as `Female / young / friendly, general` or `男 / 中年 / 低沉知识解说`. Do not show provider names like ElevenLabs or Doubao in option descriptions.
For native start-scenario cards:
such as talking-head editing, MG animation, long-video-to-shorts, product/app promo, AI short film, or explainer video.
workflows. The form must also let the use
Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering.
Repo: 0xsline/OpenChatCut
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