HyperFrames Animation
heygen-com/hyperframes
Collects motion rules, scene blueprints, transitions and runtime adapters for HyperFrames video compositions, with GSAP as the default animation runtime.
A skill your agent uses 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 skills add 0xsline/OpenChatCut --skill widget-forms -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install 0xsline/OpenChatCut widget-forms --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/agent/skills/widget-forms .claude/skills/widget-forms && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "widget-forms" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/widget-forms into .claude/skills/widget-forms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "widget-forms", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/widget-formsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add 0xsline/OpenChatCut --skill widget-forms -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install 0xsline/OpenChatCut widget-forms --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/agent/skills/widget-forms .agents/skills/widget-forms && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "widget-forms" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/widget-forms into .agents/skills/widget-forms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "widget-forms", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add 0xsline/OpenChatCut --skill widget-forms -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install 0xsline/OpenChatCut widget-forms --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/agent/skills/widget-forms .cursor/skills/widget-forms && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "widget-forms" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/widget-forms into .cursor/skills/widget-forms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "widget-forms", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/0xsline/OpenChatCut.git --path src/agent/skills/widget-forms--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add 0xsline/OpenChatCut --skill widget-forms -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install 0xsline/OpenChatCut widget-forms --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/agent/skills/widget-forms .gemini/skills/widget-forms && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "widget-forms" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/widget-forms into .gemini/skills/widget-forms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "widget-forms", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install 0xsline/OpenChatCut widget-formsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add 0xsline/OpenChatCut --skill widget-forms -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/agent/skills/widget-forms .github/skills/widget-forms && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "widget-forms" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/widget-forms into .github/skills/widget-forms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "widget-forms", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add 0xsline/OpenChatCut --skill widget-forms -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install 0xsline/OpenChatCut widget-forms --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/agent/skills/widget-forms .opencode/skills/widget-forms && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "widget-forms" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/widget-forms into .opencode/skills/widget-forms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "widget-forms", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
widget-formsA skill your agent uses 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.
Widget Forms is an agent skill from 0xsline/OpenChatCut. 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.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Video production. The repository describes itself as: Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering. The licence is AGPL-3.0.
Read from SKILL.md and the folder at commit 2e6f4a2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Widget Forms loads about 2.3k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 1,041 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from 0xsline/OpenChatCut at commit 2e6f4a2, republished under its AGPL-3.0 licence (© 0xsline). 1,041 words, ~2,264 tokens.
.claude/skills/widget-forms/SKILL.md (or your agent's skills folder).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.
<form-single> -> { type: "single", variant: "default" }<form-multi> -> { type: "multi", variant: "default" }<form-text> / <form-textarea> -> { type: "text" }<form-visual> -> { type: "single", variant: "visual" }{ type: "single", variant: "voice" }{ type: "single", variant: "scenario" }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:
prompt and concise
question labels.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:
id for the internal value the next tool call needs.label for what the user sees.variant: "default"), keep
options label-only. Do not add per-option description unless the user cannot
distinguish the choices from labels alone.description mainly for voice cards. Visual style cards should usually
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:
preview.manage_design_style with
action: "list" first, then map each returned preset to
{ id: preset.presetId, label: preset.name } (no thumbnails in this build).For voice cards:
audioUrl for the sample file./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.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.id equal to the provider voice id needed by submit_voice.For native start-scenario cards:
variant: "scenario".id: "__other__" only when you need to customize the
off-list label; otherwise the backend appends a localized Other option.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.preview or audioUrl; the backend fills the native
first-screen preview image.talking-head, motion-graphics, long-video-to-shorts,
app-promo, ai-cinematic-short-film, explainer, plus __other__ for a
free-form video need.{ "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" }.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.
{
"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" }
]
}
]
}© 0xsline, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in src/agent/skills/widget-forms of 0xsline/OpenChatCut.
Open the folder on GitHubat commit 2e6f4a2
Widget Forms next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Widget Forms this skill0xsline/OpenChatCut | 2.2k | — | ~2.3k | Automated safety check: Pass | AGPL-3.0 | |
| HyperFrames Animationheygen-com/hyperframes | 59k | 3 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.4k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 | |
| Faceless Explainer Videoheygen-com/hyperframes | 59k | 3 repos | ~7.7k | Automated safety check: Notes | Apache-2.0 | |
| Video Understandcalesthio/OpenMontage | 65k | — | ~841 | Automated safety check: Pass | AGPL-3.0 | |
| Video ShotcraftVincentwei1021/video-shotcraft | 11k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 |
heygen-com/hyperframes
Collects motion rules, scene blueprints, transitions and runtime adapters for HyperFrames video compositions, with GSAP as the default animation runtime.
google-labs-code/stitch-skills
Builds walkthrough videos from Stitch design projects using Remotion, with transitions, zoom effects and text overlays on each screen.
heygen-com/hyperframes
Turns an article, notes or a topic brief into an explainer video whose visuals are invented per scene, built frame by frame in HyperFrames with no footage.
calesthio/OpenMontage
Understand video content locally using ffmpeg frame extraction and Whisper transcription.
Vincentwei1021/video-shotcraft
Makes cinematic product videos with Remotion from shot recipe cards, a ready template, real page screenshots, camera moves and sound design, or builds a single animated shot.
heygen-com/hyperframes
Imports Figma assets, brand tokens, components and motion into a HyperFrames video composition, using the Figma REST API with a connector or native export for shaders.
0xsline/OpenChatCut
Connects an MCP-capable agent to the local OpenChatCut video editor to inspect and edit projects through draft edit sessions, with manual approval by default.
0xsline/OpenChatCut
Generates WebGL shaders for video effects, transitions, masks and color grades in the OpenChatCut editor, trying built-in catalog effects such as zoom before making anything new.
0xsline/OpenChatCut
Generates still images through the submit_image tool, choosing among Fal.ai, gpt-image-2, nano-banana, MiniMax image-01 and Grok Imagine by configured keys.
0xsline/OpenChatCut
Cuts a livestream recording into evidence-backed, platform-ready clips by combining transcript, visual, audio and genre-specific signals.
0xsline/OpenChatCut
Generates instrumentals, songs, soundtracks and covers through Mureka, MiniMax, Atlas Cloud or Sonilo using the `submit_music` tool.
0xsline/OpenChatCut
Submits AI video generation jobs to Fal.ai, Seedance, Kling, MiniMax Hailuo, xAI Grok Imagine or OFox for text-to-video, image-to-video, transitions and clip extension.
Categories
A skill your agent uses 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. Widget Forms is an agent skill from 0xsline/OpenChatCut. 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.
Widget Forms fits situations like: the agent should ask the user for structured input with an in-chat form; including single-select; voice audition choices.
Run `npx skills add 0xsline/OpenChatCut --skill widget-forms -a claude-code`. Or copy the skill folder (src/agent/skills/widget-forms in 0xsline/OpenChatCut) into .claude/skills/widget-forms in your project. Claude Code loads it when a task matches its description.
Run `npx skills add 0xsline/OpenChatCut --skill widget-forms -a codex`. Or copy the skill folder (src/agent/skills/widget-forms in 0xsline/OpenChatCut) into .agents/skills/widget-forms in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add 0xsline/OpenChatCut --skill widget-forms -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/widget-forms, .gemini/skills/widget-forms, .github/skills/widget-forms and .opencode/skills/widget-forms in your project.
SKILL.md names no scripts, command-line tools or credentials: Widget Forms is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Widget Forms is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Widget Forms: HyperFrames Animation (heygen-com/hyperframes, 59k stars), Stitch to Remotion Walkthrough Videos (google-labs-code/stitch-skills, 8.4k stars), Faceless Explainer Video (heygen-com/hyperframes, 59k stars) and Video Understand (calesthio/OpenMontage, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
0xsline (a GitHub user) maintains it in 0xsline/OpenChatCut, which has 2,178 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 7, 2026.
Source: 0xsline/OpenChatCut on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.