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Threejs Earth Render

OrganizationPopular
vibe-motion
threejs-earth-render

Clone or update https://github.com/vibe-motion/threejs-earth and render the Three.js Earth route animation with Puppeteer frame capture. Use when users ask for 三维地球航线动画, Three.js Earth, 地球飞线, globe route animation, or exporting an Earth GIF/MP4/PNG sequence.

Overview

Publishervibe-motion
Repositoryskills
Skill namethreejs-earth-render
Stars
1.2K
Forks
79
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vibe-motion on GitHub. Read the source before you install it.

Installation

Install the Threejs Earth Render AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vibe-motion/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/threejs-earth-render .claude/skills/threejs-earth-render
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Threejs Earth Render in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Threejs Earth Render on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Threejs Earth Render is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Three.js Earth Render

Workflow

  1. Use scripts/render_threejs_earth.py from this skill.
  2. Pass --workspace when the user specifies where the source checkout should live; otherwise use the current directory.
  3. Pass --output when the user specifies a GIF/MP4 path; otherwise use out/threejs-earth.gif.
  4. For customized routes, edit threejs-earth/src/routeConfig.js first and render with --skip-update so local edits are preserved.
  5. Run the script and wait for completion.
  6. Return the final absolute output path printed by the script.

Command

bash
/usr/local/bin/python3 scripts/render_threejs_earth.py \
  --workspace "$(pwd)" \
  --output "$(pwd)/out/threejs-earth.gif"

Installed Skill Resolution

Use the installed skill copy, not the source repo checkout:

bash
skill_dir=""
for base in "${AGENTS_HOME:-$HOME/.agents}" "${CLAUDE_HOME:-$HOME/.claude}" "${CODEX_HOME:-$HOME/.codex}"; do
  if [ -d "$base/skills/threejs-earth-render" ]; then
    skill_dir="$base/skills/threejs-earth-render"
    break
  fi
done
[ -n "$skill_dir" ] || { echo "threejs-earth-render skill not found under ~/.agents, ~/.claude, or ~/.codex"; exit 1; }

/usr/local/bin/python3 "$skill_dir/scripts/render_threejs_earth.py" \
  --workspace "$(pwd)" \
  --output "$(pwd)/out/threejs-earth.gif"

Behavior

  • Repository source is fixed to https://github.com/vibe-motion/threejs-earth.git by default.
  • Reuse workspace/threejs-earth if it exists; otherwise clone it.
  • If the repo already exists, fetch and fast-forward the target branch unless --skip-update is passed.
  • Serve the Three.js app through a local HTTP server; do not open it with file://.
  • Use Puppeteer, not Remotion, because this is a browser-based 3D scene.
  • Seek each frame through window.__SCENE_3D_EXPORT__.setFrame(frame) so frames are independently reproducible.
  • Capture a PNG frame sequence, then encode .gif or .mp4 with ffmpeg.
  • Default render is a 30 fps GIF at 448 px wide. Use --output-width 0 to keep the native 2048 x 1152 capture.

Project Notes

  • Default route is Hangzhou to Paris in src/routeConfig.js.
  • The app exports a 16:9 scene at 2048 x 1152 for --render-scale 1 and 4096 x 2304 for --render-scale 2.
  • The scene uses CDN imports for Three.js and local high-resolution Earth texture assets, so network access is required on first load.

Requirements

  • git
  • node
  • npm
  • ffmpeg
  • network access for clone/update, CDN imports, and Puppeteer installation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Threejs Earth Render AI skill do?

Clone or update https://github.com/vibe-motion/threejs-earth and render the Three.js Earth route animation with Puppeteer frame capture. Use when users ask for 三维地球航线动画, Three.js Earth, 地球飞线, globe route animation, or exporting an Earth GIF/MP4/PNG sequence.

Why use Threejs Earth Render on TypingMind?

Because you install it once and use it with any model. Threejs Earth Render is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Threejs Earth Render in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vibe-motion/skills/tree/main/threejs-earth-render. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Threejs Earth Render?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Threejs Earth Render?

As many as you like. As long as a model supports skills, you can use Threejs Earth Render with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Threejs Earth Render AI skill free?

It is published on GitHub by vibe-motion. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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