mcpbeat

Widget Forms

0xsline/widget-forms

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.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
778
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/0xsline/OpenChatCut --skill widget-forms

The instruction itself

6 sections, as written by the author

Widget Forms

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.

Runtime Rule

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.

Supported Field Mapping

Build a fields array. Write every visible string in the user's conversation

language.

  • Native <form-single> -> { type: "single", variant: "default" }
  • Native <form-multi> -> { type: "multi", variant: "default" }
  • Native <form-text> / <form-textarea> -> { type: "text" }
  • Native <form-visual> -> { type: "single", variant: "visual" }
  • Voice audition cards -> { type: "single", variant: "voice" }
  • Native start-scenario cards -> { type: "single", variant: "scenario" }

Form Copy Tone

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:

  • Warm, open-ended, and action-oriented. The copy should imply "choose the

closest video need or just tell me your idea; we can figure it out together."

  • Short and scannable. Use one natural sentence for prompt and concise

question labels.

  • Honest capability framing. OpenChatCut can help with many video workflows, but do

not claim unsupported abilities or guarantee a result before inputs are known.

  • The user's language and local product terms. Keep "OpenChatCut", "B-roll",

"Motion Graphics", "MG 动画", model/product names, and platform names in their

established forms.

  • User-facing creative wording. For early planning or creative-intake 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:

  • Use id for the internal value the next tool call needs.
  • Use label for what the user sees.
  • For ordinary single-select and multi-select cards (variant: "default"), keep

options label-only. Do not add per-option description unless the user cannot

distinguish the choices from labels alone.

  • Use description mainly for voice cards. Visual style cards should usually

use only preview + label.

  • When an off-list answer is acceptable, add an explicit option with

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:

  • Use real image URLs or data image URLs in preview.
  • For Design Style catalog choices, call manage_design_style with

action: "list" first, then map each returned preset to

{ id: preset.presetId, label: preset.name } (no thumbnails in this build).

  • Never hardcode catalog preset ids unless the user already selected one.

For voice cards:

  • Use audioUrl for the sample file.
  • Prefer the documented sample path such as /voice-samples/doubao-liuchang.mp3

or a public HTTPS URL. Do not pass localhost sample URLs; MCP host iframes do

not reliably resolve editor-local media.

  • Keep user-visible descriptions provider-neutral. Describe the voice the same

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.

  • Keep the option id equal to the provider voice id needed by submit_voice.

For native start-scenario cards:

  • Use this when the user should choose which OpenChatCut video workflow to start,

such as talking-head editing, MG animation, long-video-to-shorts,

product/app promo, AI short film, or explainer video.

  • Present these as common video needs/scenarios, not as the only possible video

workflows. The form must also let the user describe a different video need.

  • Use exactly one single-select field with variant: "scenario".
  • Provide options using the canonical ids below and localized labels in the

user's language. Include id: "__other__" only when you need to customize the

off-list label; otherwise the backend appends a localized Other option.

  • English, Chinese, and Spanish scenario labels/descriptions/starter prompts are

built in. For any other user language, faithfully translate each scenario's

English label, description, and starter prompt into the user's language

and pass those localized values in the option objects. Preserve OpenChatCut

product terms and workflow meaning; do not add new requirements. Use

submitPrompt for the translated starter prompt. This override is specific to

variant: "scenario"; ordinary option cards, voice cards, and visual style

cards already get their visible text from the values you pass.

  • Do not provide custom preview or audioUrl; the backend fills the native

first-screen preview image.

  • Canonical ids: talking-head, motion-graphics, long-video-to-shorts,

app-promo, ai-cinematic-short-film, explainer, plus __other__ for a

free-form video need.

  • Example options:

{ "id": "talking-head", "label": "Talking Head Editing" },

{ "id": "motion-graphics", "label": "Motion Graphics" },

{ "id": "long-video-to-shorts", "label": "Long Video to Shorts" },

{ "id": "app-promo", "label": "Product / App Promo" },

{ "id": "ai-cinematic-short-film", "label": "AI Short Film" },

{ "id": "explainer", "label": "Explainer Video" },

{ "id": "__other__", "label": "Something else" }.

Current Gaps

ask_followup_questions is for structured answers only. It does not support native

custom HTML, timeline parameter bridges, editor item selection, or file upload

fields. For files already held by the agent runtime or attached directly to the

chat outside this card, the media-import workflow is still valid: call

import_media and run the helper/direct upload path. For files the user wants

to place directly in a project, ask them to use the OpenChatCut editor upload UI.

Example

{
  "title": "Your video idea",
  "prompt": "Choose or fill in what you have in mind so OpenChatCut can pick a good starting direction.",
  "submitLabel": "Send idea",
  "messagePrefix": "Continue with this video direction:",
  "fields": [
    {
      "id": "goal",
      "label": "What's the main goal of this video?",
      "type": "single",
      "options": [
        { "id": "product_intro", "label": "Product intro" },
        { "id": "social_ad", "label": "Social ad" },
        { "id": "__other__", "label": "Something else" }
      ]
    },
    {
      "id": "elements",
      "label": "What should it include? (Select all that apply)",
      "type": "multi",
      "options": [
        { "id": "broll", "label": "B-roll" },
        { "id": "logo", "label": "Brand logo" },
        { "id": "__other__", "label": "Something else" }
      ]
    }
  ]
}

How to use it

Copy the folder

Take 0xsline/widget-forms from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.