Agent skill

Chat Motion Overlay Generator

by nexu-io in nexu-io/open-design

Turns a chat transcript or screenshot into a configurable animated chat clip, rendered as a Remotion bundle with optional transparency.

Apache-2.0Auto-check passedMedia & Creative

Install Chat Motion Overlay Generator

skills CLI
$ npx skills add nexu-io/open-design --skill chat-motion-overlay -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nexu-io/open-design chat-motion-overlay --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nexu-io/open-design.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/chat-motion-overlay .claude/skills/chat-motion-overlay && rm -rf skills-src

Use ~/.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/

Facts

Skill name
chat-motion-overlay
GitHub stars
100k
Token cost
~1.1k tokens
SKILL.md length
449 words
Files
33 (incl. scripts, references, assets)
Skills in repo
245
Repo updated
First seen
Licence
Apache-2.0

At a glance

Turns a chat transcript or screenshot into a configurable animated chat clip, rendered as a Remotion bundle with optional transparency.

  • Works in 5 steps: Normalize the chat input. → Choose a scene config. → Build the scene spec. → …
  • Creating a short chat-bubble clip from a screenshot for a demo or social video
  • SKILL.md covers Workflow, Supported Dimensions, Output Rules and Question Policy, plus 1 more section
  • Runs TypeScript scripts from its folder

What it does

This skill normalizes a chat transcript or a screenshot of one into a structured message format, inferring participants and sides from visible avatars without recreating the actual avatar images unless the user provides or asks for them specifically. It then has you choose a scene setup — a container style such as none, WeChat, Telegram, or Messenger, an avatar mode, an optional device frame, and when nicknames should appear.

A bundled script turns the transcript and setup into one JSON scene file that a Remotion project can render directly, and a second script copies a template, inserts that file, and brings in any uploaded avatar images. The finished render can come out as a transparent MOV or WebM for layering, or as an editable project for further work downstream.

When your agent uses it

  • Creating a short chat-bubble clip from a screenshot for a demo or social video
  • Recreating a messenger-style conversation as an animated overlay
  • Producing a transparent chat overlay to composite over other footage

Example prompts

  • “Turn this WeChat screenshot into a motion overlay clip.”
  • “Build a Telegram-style chat animation from this transcript as WebM.”
  • “Make a transparent overlay of this conversation for me to edit later.”

Requirements

  • A Node.js environment to run the bundled Remotion build scripts

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Normalize the chat input.
  2. Choose a scene config.
  3. Build the scene spec.
  4. Prepare a renderable bundle.
  5. Render the target output.

What it can do on your machine

Read from SKILL.md and the folder at commit 17e2559. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 1 file in scripts/ (TypeScript, from the files we listed), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Chat Motion Overlay Generator loads about 1.1k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 120 tokens; SKILL.md has 449 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~120
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7k

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.

Safety

Auto-check passed

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); the scripts in this folder are not scanned.

SKILL.md

The full file from nexu-io/open-design at commit 17e2559, republished under its Apache-2.0 licence (© nexu-io). 449 words, ~1,128 tokens.

Download SKILL.mdSave it as .claude/skills/chat-motion-overlay/SKILL.md (or your agent's skills folder). This skill also uses 32 other files; get the full folder from GitHub.
name
chat-motion-overlay
description
Generate configurable chat motion overlays from a transcript or screenshot, including plain bubble scenes, app-style chat containers, optional device frames, preset or uploaded avatars, nickname display rules, and transparent-video-ready Remotion bundles. Use when Codex needs to create reusable short-form chat clips for Douyin, demo videos, story reenactments, social-message proof scenes, or embeddable alpha overlays for Hyperframe and Remotion workflows.
triggers
chat motion overlay, animated chat, chat bubbles, message overlay, transparent chat video, 微信聊天动效, 聊天气泡动效, 透明聊天视频
od.mode
utility
od.category
animation-motion

Chat Motion Overlay

Turn chat content into a configurable motion overlay clip instead of a single hard-coded WeChat mock.

Workflow

  1. 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.
  2. 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.
  3. Build the scene spec.

    • Run scripts/build_chat_overlay_spec.py with a transcript and optional config JSON.
    • The script outputs a single JSON spec that Remotion can render directly.
  4. 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 into public/.
  5. 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.

Supported Dimensions

  • container: none, wechat, telegram, messenger
  • avatarMode: preset, upload, mixed
  • deviceFrame: none, iphone-dynamic-island
  • nicknameMode: hidden, first-message-only, always
  • deliveryFormat:
    • 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)
Show full SKILL.md (187 more words)Show less

Output Rules

  • Keep the composition root transparent for overlay outputs.
  • Use container: none for standalone bubble motion without an app shell.
  • Use container: wechat|telegram|messenger when 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 deliveryFormat using 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/

© nexu-io, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 32 other files (scripts, references, assets) in skills/chat-motion-overlay of nexu-io/open-design.

  • SKILL.md
  • agents/openai.yaml
  • assets/avatar-library/female-bunny-pink.png
  • assets/avatar-library/female-cat-orange.png
  • assets/avatar-library/female-fox-yellow.png
  • assets/avatar-library/male-bear-mint.png
  • assets/avatar-library/male-koala-lilac.png
  • assets/avatar-library/male-penguin-blue.png
  • assets/examples/chat-transcript.txt
  • assets/examples/config-wechat-phone.json
  • assets/remotion-template/package.json
  • assets/remotion-template/remotion.config.ts
  • assets/remotion-template/src/Root.tsx
  • assets/remotion-template/src/chatSpec.ts
  • assets/remotion-template/src/components
  • … and 18 more

Open the folder on GitHubat commit 17e2559

Compare with similar skills

Chat Motion Overlay Generator 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.

Chat Motion Overlay Generator compared with similar skills
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HyperFrames Video Entry Pointheygen-com/hyperframes60k3 repos~5.2kAutomated safety check: PassApache-2.0
Create Remotion GeistMarve10s/Better-Fullstack756—~1.4kAutomated safety check: PassMIT
Product Film Builder (Remotion)Rieranthony/product-film-skill409—~1.4kAutomated safety check: PassMIT

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Works with

Questions about Chat Motion Overlay Generator

What does Chat Motion Overlay Generator do?

Turns a chat transcript or screenshot into a configurable animated chat clip, rendered as a Remotion bundle with optional transparency. This skill normalizes a chat transcript or a screenshot of one into a structured message format, inferring participants and sides from visible avatars without recreating the actual avatar images unless the user provides or asks for them specifically. It then has you choose a scene setup — a container style such as none, WeChat, Telegram, or Messenger, an avatar mode, an optional device frame, and when nicknames should appear.

When should I use Chat Motion Overlay Generator?

Chat Motion Overlay Generator fits situations like: creating a short chat-bubble clip from a screenshot for a demo or social video; recreating a messenger-style conversation as an animated overlay; producing a transparent chat overlay to composite over other footage.

How do I install Chat Motion Overlay Generator in Claude Code?

Run `npx skills add nexu-io/open-design --skill chat-motion-overlay -a claude-code`. Or copy the skill folder (skills/chat-motion-overlay in nexu-io/open-design) into .claude/skills/chat-motion-overlay in your project. Claude Code loads it when a task matches its description.

How do I install Chat Motion Overlay Generator in Codex?

Run `npx skills add nexu-io/open-design --skill chat-motion-overlay -a codex`. Or copy the skill folder (skills/chat-motion-overlay in nexu-io/open-design) into .agents/skills/chat-motion-overlay in your project. Codex loads it when a task matches its description.

Can I use Chat Motion Overlay Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nexu-io/open-design --skill chat-motion-overlay -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chat-motion-overlay, .gemini/skills/chat-motion-overlay, .github/skills/chat-motion-overlay and .opencode/skills/chat-motion-overlay in your project.

What does Chat Motion Overlay Generator need to run?

Going by SKILL.md and its folder, Chat Motion Overlay Generator needs TypeScript for the scripts in its folder. Our summary lists: A Node.js environment to run the bundled Remotion build scripts.

Does Chat Motion Overlay Generator access the network?

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.

Is Chat Motion Overlay Generator safe to install?

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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Chat Motion Overlay Generator use?

Chat Motion Overlay Generator is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Chat Motion Overlay Generator use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.9k tokens, read only when the agent opens those files.

What are the alternatives to Chat Motion Overlay Generator?

Skills that share tags, products or a category with Chat Motion Overlay Generator: Stitch to Remotion Walkthrough Videos (google-labs-code/stitch-skills, 8.5k stars), Video Shotcraft (Vincentwei1021/video-shotcraft, 11k stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars) and Create Remotion Geist (Marve10s/Better-Fullstack, 756 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Chat Motion Overlay Generator?

nexu-io (a GitHub organization) maintains it in nexu-io/open-design, which has 100,280 GitHub stars. The repository holds 245 skills in this directory. The repository was last updated on October 10, 2026.

Source: nexu-io/open-design on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.