About chat-motion-overlay
Chat Motion Overlay is a skill for turning chat text or screenshots into configurable animated overlay clips. It builds a Remotion-ready scene bundle with selectable chat containers, avatars, device frames, and output formats.
Key features
- 01Chat transcript normalization
- 02Configurable scene options
- 03JSON scene specification generation
- 04Remotion bundle preparation
- 05Transparent video and project outputs
Use cases
- 01Creating animated chat overlays from text
- 02Turning screenshot messages into an overlay scene
- 03Preparing editable Remotion or Hyperframe projects
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ nexu-io/ open-design --skill chat-motion-overlayAfter installing, type/chat-motion-overlayin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
agents/openai.yamlassets/examples/chat-transcript.txtconfig-wechat-phone.jsonassets/remotion-template/package.jsonremotion.config.tstsconfig.jsonassets/remotion-template/src/chatSpec.tsindex.tsRoot.tsxassets/remotion-template/src/components/avatarLibrary.tsxBubbleScene.tsxChatMotionOverlay.tsxDeviceFrame.tsxtypes.tsreferences/config-schema.mdinput-format.mdoutput-modes.mdquestion-strategy.mdtest-matrix.mdtest-report.mdscripts/build_chat_overlay_spec.pyprepare_chat_overlay_bundle.pyrun_test_matrix.pyDetails
From the project READMEChat Motion Overlay
Turn chat content into a configurable motion overlay clip instead of a single hard-coded WeChat mock.
Workflow
-
Normalize the chat input.
- If the user gives a screenshot, extract the visible messages into the transcript format in
references/input-format.md. - If the user gives plain text, keep one message per beat and preserve exact wording when authenticity matters.
- For screenshots, use visible avatars as clues for participant count and message grouping, but do not crop or recreate avatar images by default. Infer participants and sides, then render with preset avatars unless the user provides avatar files or explicitly requests screenshot-derived avatars.
- If the user gives a screenshot, extract the visible messages into the transcript format in
-
Choose a scene config.
- Read
references/config-schema.md. - Decide container style, avatar mode, device frame, nickname mode, and delivery format before generating the bundle.
- When the user has not provided enough information, follow the question policy in
references/question-strategy.md.
- Read
-
Build the scene spec.
- Run
scripts/build_chat_overlay_spec.pywith a transcript and optional config JSON. - The script outputs a single JSON spec that Remotion can render directly.
- Run
-
Prepare a renderable bundle.
- Run
scripts/prepare_chat_overlay_bundle.py. - It copies the Remotion template, injects
src/chatSpec.ts, and copies any uploaded avatar files intopublic/.
- Run
-
Render the target output.
- Use the exact export commands in
references/output-modes.md. - Prefer
MOV(透明背景,可直接导入剪映 / PR / FCP 叠加)for editing,WebM(透明背景,适合网页 / 浏览器播放)for browsers, and editable engineering outputs when the user wants to keep composing downstream.
- Use the exact export commands in
Supported Dimensions
container:none,wechat,telegram,messengeravatarMode:preset,upload,mixeddeviceFrame:none,iphone-dynamic-islandnicknameMode:hidden,first-message-only,alwaysdeliveryFormat:mov:MOV(透明背景,可直接导入剪映 / PR / FCP 叠加)webm:WebM(透明背景,适合网页 / 浏览器播放)remotion:Remotion 工程(适合继续编辑和拼装)hyperframe:Hyperframe 工程(适合作为模块继续复用)json:JSON 数据(适合程序处理 / 自定义渲染)preview:预览图 / 预览工程(适合先确认效果)
Output Rules
- Keep the composition root transparent for overlay outputs.
- Use
container: nonefor standalone bubble motion without an app shell. - Use
container: wechat|telegram|messengerwhen the platform chrome is part of the story. - Treat uploaded avatars as content assets and copy them into
public/for the render bundle. - Prefer preset avatars when the user does not specify avatar files. Screenshot avatars may help identify participants, but recommend user-provided avatar files before attempting to crop or recreate avatars from screenshots.
- Keep config-driven behavior explicit; do not silently switch style families.
Question Policy
- Prefer inference first, questions second.
- If the user gives enough information for a sensible default, continue and clearly state the assumptions.
- Ask only for missing high-impact choices.
- Keep the question set to 1-3 items.
- Prefer user-facing wording over technical wording.
- Ask about
deliveryFormatusing格式(场景描述)labels, not internal render terms. - If the user says they do not care, continue with defaults and note them in the result.
Resources
- Transcript format:
references/input-format.md - Config fields and examples:
references/config-schema.md - Question strategy:
references/question-strategy.md - Output commands and targets:
references/output-modes.md - Transcript/config to spec:
scripts/build_chat_overlay_spec.py - Remotion bundle preparation:
scripts/prepare_chat_overlay_bundle.py - Remotion render template:
assets/remotion-template/
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