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Web Shader Extractor

Community
lixiaolin94
web-shader-extractor

Use when a user gives or references a webpage URL and wants to extract, reproduce, port, or locally replay a WebGL, WebGPU, Canvas, shader-like, animated background, interactive 3D, or web visual effect. Locks the target rendering surface group, records shader/resource/render graph/timing/input evidence, builds an evidence-matched local baseline, then projectizes it. Do not use for ordinary DOM/CSS page cloning.

Overview

Publisherlixiaolin94
Repositoryskills
Skill nameweb-shader-extractor
Stars
761
Forks
45
Bundled files
21
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.

  • 21 bundled files

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

  • Open source

    Published by lixiaolin94 on GitHub. Read the source before you install it.

Installation

Install the Web Shader Extractor 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/lixiaolin94/skills/tree/main/web-shader-extractor
  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/lixiaolin94/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/web-shader-extractor .claude/skills/web-shader-extractor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Shader Extractor 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 Web Shader Extractor 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 Web Shader Extractor 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.

Web Shader Extractor

Index for WebGL / WebGPU / Canvas rendering investigation and local replay. Start from the target visual. Lock the surface group. Trace source or runtime facts. Build a runnable baseline. Then projectize.

Router Contract

This file is the index. Do not treat it as the full operating manual. Before task action, read:

  • references/operating-contract.md
  • references/recon-kernel.md

Then load only the focused references needed by the current state. Keep large evidence, captures, and generated outputs out of the conversation. Store them in the user's output directory.

Use This For

  • Extracting a webpage WebGL, WebGPU, Canvas2D, OffscreenCanvas, shader, or animated canvas effect.
  • Replaying an animated background, product shader, interactive WebGL scene, or Canvas visual locally.
  • Building an evidence-matched baseline first, then an editable project.
  • Investigating target-bound shader/render graph/timing/resource/input facts.

Do not use this for ordinary DOM/CSS cloning, static screenshots, generic website copying, unrelated JavaScript deobfuscation, or product UI redesign. Use it only when the task has a shader/canvas target.

Core Rules

  • Target-bound before framework-bound: a global Three.js, platform, or shader signature is only a hypothesis until tied to the target surface group.
  • Probes must discriminate: before running a probe, state which live hypotheses it separates and what each outcome eliminates. Evidence consistent with every candidate is weak; evidence only one candidate predicts is strong.
  • Evidence before implementation: source, runtime objects, frame captures, source maps, and public structured definitions outrank visual fitting.
  • No fabricated numbers: confidence is expressed with hypothesis status and SOURCE/PARTIAL/GUESS, never invented probabilities or scores.
  • Baseline before projectization: never overwrite a verified baseline for cleanup, simplification, or native conversion.
  • Honest labels: implementation-critical facts are SOURCE, PARTIAL, or GUESS; unlabeled values are treated as GUESS.
  • No compensation tuning: do not adjust brightness, time, color, offsets, or noise to mask missing pipeline evidence.
  • Gate artifacts are transition guards: if the required artifact is missing, incomplete, or has placeholders in gate-critical fields, the state has not advanced.
  • Ask only for product scope changes or external access/permission blockers.
  • Use plain records: state the fact, evidence path, current unknown, and next action. Avoid metaphor, broad claims, and unsupported conclusions.

State Router

The full state machine, branches, and gate semantics live in references/recon-kernel.md. The gate order is fixed:

TARGET_LOCKED must precede deep source/bundle work. Before lock, only narrow source probes tied to nextProbe are allowed. REPLAY_READY must precede implementation. BASELINE_VERIFIED must precede projectization.

Reference Router

Load only what the current state needs:

NeedRead
Global contract, fact labels, completion statesreferences/operating-contract.md
Kernel, initial protocol, state flow, autonomy, budgetsreferences/recon-kernel.md
Surface discovery and visual attributionreferences/surface-discovery.md
Lock criteria, target-bound evidence, scope, Three.js bindingreferences/target-lock.md
Evidence labels, ledgers, unknown classes, sensitive datareferences/evidence-policy.md
Tool capability selectionreferences/tool-capability-matrix.md
WebGL, WebGPU, and Canvas2D capture factsreferences/capture-backends.md
Source maps, bundle slices, config, encoded definitionsreferences/source-analysis.md
Replay readiness, routes, baseline, stack choice, projectizationreferences/replay-policy.md
QA, failure routing, severity, mismatch signaturesreferences/qa-failure-policy.md
Three.js shader injection or TSL reconstructionreferences/three-shader-reconstruction.md
Unicorn Studio targetreferences/unicorn-studio.md
shaders.com / TSL targetreferences/shaders-com.md

Tool And Artifact Policy

Tools are replaceable capabilities, not prerequisites. First record the available capability profile:

text
navigate, runtime-eval, preload-script, network-metadata, network-body,
source-map, canvas-screenshot, interaction, frame-capture-webgl,
frame-capture-webgpu, local-run, multi-frame-compare

Use scripts/fetch-rendered-dom.mjs only as an optional inventory helper when Playwright is already available. Use scripts/scan-bundle.sh only on target-bound bundle slices or a precise nextProbe. Script output is hypothesis evidence. It never satisfies Surface Attribution, Target Lock, Replay Ready, or QA gates by itself.

Use bundled templates as schemas, not free-form notes:

  • templates/scout-card.json
  • templates/replay-manifest.json
  • templates/run-state.json
  • templates/qa-report.md
  • templates/known-gaps.md
  • templates/extraction-report.md

Platform Adapters

Load platform references only after target-bound evidence points there:

  • Unicorn Studio: references/unicorn-studio.md
  • shaders.com / TSL: references/shaders-com.md
  • Three.js shader injection or TSL: references/three-shader-reconstruction.md

If no adapter fits, follow generic WebGL, WebGPU, or Canvas2D capture in references/capture-backends.md.

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 Web Shader Extractor AI skill do?

Use when a user gives or references a webpage URL and wants to extract, reproduce, port, or locally replay a WebGL, WebGPU, Canvas, shader-like, animated background, interactive 3D, or web visual effect. Locks the target rendering surface group, records shader/resource/render graph/timing/input evidence, builds an evidence-matched local baseline, then projectizes it. Do not use for ordinary DOM/CSS page cloning.

Why use Web Shader Extractor on TypingMind?

Because you install it once and use it with any model. Web Shader Extractor 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 Web Shader Extractor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lixiaolin94/skills/tree/main/web-shader-extractor. 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 Web Shader Extractor?

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 Web Shader Extractor?

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

Is the Web Shader Extractor AI skill free?

It is published on GitHub by lixiaolin94. 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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