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Threejs Temporal Surfaces

Community
scottstts
threejs-temporal-surfaces

Build view-aligned and screen-space surface effects in Three.js. Use for touch-history frost and thaw, ping-pong accumulation, reduced-resolution blur, crystalline masks, two-scale refraction, and procedural rain droplets that refract and blur a background through wet glass.

Overview

Publisherscottstts
RepositoryThreejs-Awesome-Graphics-Agent-Skills
Skill namethreejs-temporal-surfaces
Stars
894
Forks
98
Bundled files
9
LicenseMIT
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.

  • 9 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 Temporal Surfaces 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.
    https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-Skills/tree/main/skills/threejs-temporal-surfaces
  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/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-temporal-surfaces .claude/skills/threejs-temporal-surfaces
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Threejs Temporal Surfaces 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 Temporal Surfaces 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 Temporal Surfaces 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.

Temporal Surfaces

Choose persistent history or procedural screen-space evolution explicitly. Do not fake accumulation with time-only noise, and do not allocate history for an effect whose complete state is analytic in time.

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.

Pipeline

text
persistent surface: input -> ping-pong state -> blur -> structure -> refraction
procedural surface: time/coverage -> analytic field -> optical normal -> refraction/blur

Read references/ping-pong-accumulation.md for an exact frost pass graph, pointer-history channels, blur and refraction coupling, and implementation defects that must be corrected.

Read the touch-history frost implementation for the previous/deposit/next state transition, reduced blur, static structures, frost-mask composition, and two-scale refraction.

Read references/refractive-window-rain.md and the refractive window rain implementation for layered static and travelling droplets, finite-difference optical normals, background refraction, stochastic disc blur, aspect fill, and presentation.

Rules

  • Separate persistent state, analytic procedural state, and scene color.
  • Preserve separate visible-mask and tilt-response channels.
  • Use half-float for this history path unless a measured lower format is equivalent.
  • Convert per-frame history decay to frame-rate-independent decay.
  • Run the two-pass scene blur at reduced resolution.
  • Pre-render static procedural textures once.
  • Define and test resize/reset behavior for both history targets and static targets.
  • Do not route world footprints, object-UV paint, or simulation-plane wetness here; this skill is view-aligned or screen-space.

Routing boundary

Use $threejs-procedural-vfx for world- or object-space residue and particles. Use $threejs-precipitation-surfaces for world-space rain, puddles, snow, and weather-surface coupling. Use $threejs-procedural-materials when a body must transmit its surroundings through its own volume rather than through a screen-aligned pane. This skill owns view-aligned wet-glass optics and screen-space persistent history.

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 Temporal Surfaces AI skill do?

Build view-aligned and screen-space surface effects in Three.js. Use for touch-history frost and thaw, ping-pong accumulation, reduced-resolution blur, crystalline masks, two-scale refraction, and procedural rain droplets that refract and blur a background through wet glass.

Why use Threejs Temporal Surfaces on TypingMind?

Because you install it once and use it with any model. Threejs Temporal Surfaces 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 Temporal Surfaces 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-temporal-surfaces. 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 Temporal Surfaces?

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 Temporal Surfaces?

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

Is the Threejs Temporal Surfaces 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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