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Threejs Debug Profiler

CommunityPopular
majidmanzarpour
threejs-debug-profiler

Debug and profile Three.js browser games: blank canvases, render and runtime bugs, asset and audio loading, animation, resize, mobile input, plus performance profiling of draw calls, triangles, textures, memory, shader and post-processing cost, and bundle size.

Overview

Publishermajidmanzarpour
Repositorythreejs-game-skills
Skill namethreejs-debug-profiler
Stars
2.1K
Forks
212
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 majidmanzarpour on GitHub. Read the source before you install it.

Installation

Install the Threejs Debug Profiler 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/majidmanzarpour/threejs-game-skills.git /tmp/threejs-game-skills
mkdir -p .claude/skills
cp -r /tmp/threejs-game-skills/skills/threejs-debug-profiler .claude/skills/threejs-debug-profiler
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Threejs Debug Profiler 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 Debug Profiler 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 Debug Profiler 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 Debug Profiler

Find root causes and optimize measured bottlenecks without breaking playability.

Follow the changed behavior's scope. Reuse the lead's existing reproduction and evidence; verify the affected path after a fix. A passing focused check only needs broader testing when shared behavior changed or an unresolved risk warrants it. Return measurements and defects to the lead for the consolidated verification pass.

Reference

references/debug-playbook.md — ordered triage for blank canvas, asset and audio loading, loop/animation/physics, input and mobile, the profiling sequence, and the __THREE_GAME_DIAGNOSTICS__ shape. Read it when debugging or profiling anything non-obvious.

Debug

  1. Reproduce locally with the same command and URL the user had.
  2. Read console, page, and network errors.
  3. Check canvas display size against drawing-buffer size.
  4. Check renderer, context, and loop ownership — more than one active loop is a common cause.
  5. Check camera aspect, near/far, lights, materials, fog, scene contents, transforms.
  6. Check asset paths, loaders, CORS, and base path.
  7. Check animation delta units, physics update order and fixed timestep, collider and body ownership, input listeners, pointer and touch behavior, resize, and audio context unlock when audio is involved.
  8. Fix the root cause in the module that owns it, then retest the exact broken path.

Profile

  1. Reproduce in the correct build mode — production preview when user-facing performance matters.
  2. Baseline the scenario: FPS and frame time, draw calls, triangles, geometries, textures, memory, bundle.
  3. Classify the bottleneck as CPU, GPU draw, GPU fragment, GPU vertex, memory, or network.
  4. Change one thing — instancing, shared resources, culling, LOD, DPR cap, cheaper shadows or post, texture discipline.
  5. Re-measure the same scenario and confirm visuals and playability held.

Report

Lead with the root cause or the measured bottleneck. Then files changed, baseline and post metrics, commands, screenshots, the broken path retested, and residual risks.

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 Debug Profiler AI skill do?

Debug and profile Three.js browser games: blank canvases, render and runtime bugs, asset and audio loading, animation, resize, mobile input, plus performance profiling of draw calls, triangles, textures, memory, shader and post-processing cost, and bundle size.

Why use Threejs Debug Profiler on TypingMind?

Because you install it once and use it with any model. Threejs Debug Profiler 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 Debug Profiler in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/majidmanzarpour/threejs-game-skills/tree/main/skills/threejs-debug-profiler. 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 Debug Profiler?

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 Debug Profiler?

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

Is the Threejs Debug Profiler AI skill free?

Yes. It is published on GitHub by majidmanzarpour 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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