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Threejs Camera Direction

Community
scottstts
threejs-camera-direction

Direct advanced Three.js camera systems. Use for scale-aware chase rigs, thrust lag, side/orbit cameras, body-relative up vectors, quaternion handoffs, authored cinematic framing, floating origins, pointer-look controls, camera collision constraints, projection ownership, and lifecycle restoration.

Overview

Publisherscottstts
RepositoryThreejs-Awesome-Graphics-Agent-Skills
Skill namethreejs-camera-direction
Stars
894
Forks
98
Bundled files
2
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.

  • 2 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 Camera Direction 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-camera-direction
  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-camera-direction .claude/skills/threejs-camera-direction
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Threejs Camera Direction 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 Camera Direction 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 Camera Direction 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.

Camera Direction

Treat the camera as an authored visual system, not a passive viewport. Compose the subject, establish scale, choose a stable up frame, and make every mode handoff explicit.

Build order

  1. Define the design frame: subject size, screen occupancy, lens, near/far, motion, and horizon/up convention.
  2. Build camera targets in semantic frames: ship, body surface, docking axis, or scene-authored shot.
  3. Derive position and orientation independently, then combine them once.
  4. Add input orbit/look only inside declared yaw/pitch and spatial constraints.
  5. Add frame-rate-independent follow or a bounded spring where the reference uses inertia.
  6. Snapshot and restore camera projection/state when a scene owns it.
  7. Test mode transitions, cuts, pointer-lock reacquisition, resize, and large coordinates.

Read references/camera-rig-and-cinematic-systems.md for exact chase/side/orbit rigs, projection values, transition rules, floating-origin shot, pointer controls, and implementation limits.

Non-negotiable rules

  • Use subject dimensions to derive offsets; do not tune one fixed distance for differently scaled assets.
  • For planetary motion, derive up from the dominant body rather than global Y.
  • Interpolate position with lerp and orientation with slerp.
  • During an explicit handoff, use one interpolation stage. Do not stack a transition blend and a second follow smoother over the same interval.
  • Re-sync yaw/pitch from the camera when pointer lock is acquired.
  • Update the projection matrix whenever FOV, near, far, or aspect changes.
  • Keep stars or infinite backgrounds camera-relative when large translation would create false parallax or precision loss.
  • Restore camera and input ownership on scene disposal.

Routing boundary

Use $threejs-procedural-animation for object motion timelines, springs, docking, staging, and debris. This skill owns how the scene is viewed and how camera modes hand off.

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 Camera Direction AI skill do?

Direct advanced Three.js camera systems. Use for scale-aware chase rigs, thrust lag, side/orbit cameras, body-relative up vectors, quaternion handoffs, authored cinematic framing, floating origins, pointer-look controls, camera collision constraints, projection ownership, and lifecycle restoration.

Why use Threejs Camera Direction on TypingMind?

Because you install it once and use it with any model. Threejs Camera Direction 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 Camera Direction 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-camera-direction. 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 Camera Direction?

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 Camera Direction?

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

Is the Threejs Camera Direction 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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