Threejs Volumetric Clouds

Community

scottstts

threejs-volumetric-clouds

Implement volumetric cloud systems in Three.js. Use for weather-driven density, bounded raymarching, shape/detail erosion, vertical profiles, lighting cones, silver lining, temporal reconstruction, cloud shadows, multiple layers, and scalable quality modes.

Overview

Publisher	scottstts
Repository	`Threejs-Awesome-Graphics-Agent-Skills`
Skill name	`threejs-volumetric-clouds`
Stars	894
Forks	98
Bundled files	147
License	MIT
Links	Skill source Repository

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.
147 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by scottstts on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-Skills/tree/main/skills/threejs-volumetric-clouds
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-Skills/tree/main/skills/threejs-volumetric-clouds

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/scottstts/Threejs-Awesome-Graphics-Agent-Skills.git /tmp/Threejs-Awesome-Graphics-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Threejs-Awesome-Graphics-Agent-Skills/skills/threejs-volumetric-clouds .claude/skills/threejs-volumetric-clouds

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Threejs Volumetric Clouds 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 Volumetric Clouds 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 Volumetric Clouds 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.

Volumetric Clouds

Cloud quality comes from density organization, lighting, and temporal stability—not from increasing march steps over unstructured noise.

This skill contains exemplary examples and assets beyond descriptive guidance, they're worth studying, referencing, or even copying. Use them sufficiently when relevant and do NOT blindly skip them.

System order

Define the cloud volume and layer bounds.
Generate or source weather, base-shape, detail, and turbulence fields.
Build a density function with vertical and weather profiles.
Raymarch only the bounded occupied segment.
Integrate transmittance and lighting front-to-back.
Reconstruct low-resolution output temporally.
Project a separate low-cost cloud-shadow solution.

Read references/weather-volume-and-reconstruction.md before implementing or auditing the cloud system.

Read the weather volume cloud entry and its source/ modules for weather-layer ownership, spherical shell bounds, authored shape/detail sampling, cloud shadow maps, temporal upscale, atmospheric composition, and package-owned diagnostics.

Required controls

coverage, cloud type, precipitation, and anvil bias;
base/top altitude and vertical density profile;
shape/detail scales and erosion;
wind for each field;
primary step count, light step count, and empty-space policy;
history weight and disocclusion threshold;
cloud-shadow extent, resolution, and update rate.

Failure conditions

density is only fbm(position);
the raymarch traverses the full camera range;
detail noise adds density instead of eroding shaped masses;
temporal history is accepted across disocclusion;
shadows use the full beauty raymarch;
every cloud layer shares the same wind and density profile.

Routing boundary

Use $threejs-atmosphere-aerial-perspective for molecular/aerosol scattering without weather density. Use $threejs-procedural-vfx for emissive aurora curtain slabs or bounded interactive voxel fire and smoke with velocity, pressure, emitter, and collision fields. This skill owns weather-shaped cloud volumes, reconstruction, cloud lighting, and cloud shadows.

Bundled files

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

and 87 more files.

Frequently asked questions

What does the Threejs Volumetric Clouds AI skill do?

Why use Threejs Volumetric Clouds on TypingMind?

Because you install it once and use it with any model. Threejs Volumetric Clouds 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 Volumetric Clouds in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-Skills/tree/main/skills/threejs-volumetric-clouds. 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 Volumetric Clouds?

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 Volumetric Clouds?

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

Is the Threejs Volumetric Clouds AI skill free?

Yes. It is published on GitHub by scottstts under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Volumetric Clouds

System order

Required controls

Failure conditions

Routing boundary

Bundled files

Frequently asked questions

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