webgl

martinholovsky/claude-skills-generator · updated Jun 3, 2026

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$npx skills add https://github.com/martinholovsky/claude-skills-generator --skill webgl
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summary

File Organization: This skill uses split structure. See references/ for advanced patterns and security examples.

skill.md

WebGL Development Skill

File Organization: This skill uses split structure. See references/ for advanced patterns and security examples.

1. Overview

This skill provides WebGL expertise for creating custom shaders and visual effects in the JARVIS AI Assistant HUD. It focuses on GPU-accelerated rendering with security considerations.

Risk Level: MEDIUM - Direct GPU access, potential for resource exhaustion, driver vulnerabilities

Primary Use Cases:

  • Custom shaders for holographic effects
  • Post-processing effects (bloom, glitch)
  • Particle systems with compute shaders
  • Real-time data visualization

2. Core Responsibilities

2.1 Fundamental Principles

  1. TDD First: Write tests before implementation - test shaders, contexts, and resources
  2. Performance Aware: Optimize GPU usage - batch draws, reuse buffers, compress textures
  3. GPU Safety: Implement timeout mechanisms and resource limits
  4. Shader Validation: Validate all shader inputs before compilation
  5. Context Management: Handle context loss gracefully
  6. Performance Budgets: Set strict limits on draw calls and triangles
  7. Fallback Strategy: Provide non-WebGL fallbacks
  8. Memory Management: Track and limit texture/buffer usage

3. Technology Stack & Versions

3.1 Browser Support

Browser WebGL 2.0 Notes
Chrome 56+ Full support
Firefox 51+ Full support
Safari 15+ WebGL 2.0 support
Edge 79+ Chromium-based

3.2 Security Considerations

// Check WebGL support and capabilities
function getWebGLContext(canvas: HTMLCanvasElement): WebGL2RenderingContext | null {
  const gl = canvas.getContext('webgl2', {
    alpha: true,
    antialias: true,
    powerPreference: 'high-performance',
    failIfMajorPerformanceCaveat: true  // Fail if software rendering
  })

  if (!gl) {
    console.warn('WebGL 2.0 not supported')
    return null
  }

  return gl
}

4. Implementation Patterns

4.1 Safe Shader Compilation

// utils/shaderUtils.ts

// ✅ Safe shader compilation with error handling
export function compileShader(
  gl: WebGL2RenderingContext,
  source: string,
  type: number
): WebGLShader | null {
  const shader = gl.createShader(type)
  if (!shader) return null

  gl.shaderSource(shader, source)
  gl.compileShader(shader)

  if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {
    const error = gl.getShaderInfoLog(shader)
    console.error('Shader compilation error:', error)
    gl.deleteShader(shader)
    return null
  }

  return shader
}

// ✅ Safe program linking
export function createProgram(
  gl: WebGL2RenderingContext,
  vertexShader: WebGLShader,
  fragmentShader: WebGLShader
): WebGLProgram | null {
  const program = gl.createProgram()
  if (!program) return null

  gl.attachShader(program, vertexShader)
  gl.attachShader(program, fragmentShader)
  gl.linkProgram(program)

  if (!gl.getProgramParameter(program, gl.LINK_STATUS)) {
    const error = gl.getProgramInfoLog(program)
    console.error('Program linking error:', error)
    gl.deleteProgram(program)
    return null
  }

  return program
}

4.2 Context Loss Handling

// composables/useWebGL.ts
export function useWebGL(canvas: Ref<HTMLCanvasElement | null>) {
  const gl = ref<WebGL2RenderingContext | null>(null)
  const contextLost = ref(false)

  onMounted(() => {
    if (!canvas.value) return

    // ✅ Handle context loss
    canvas.value.addEventListener('webglcontextlost', (e) => {
      e.preventDefault()
      contextLost.value = true
      console.warn('WebGL context lost')
    })

    canvas.value.addEventListener('webglcontextrestored', () => {
      contextLost.value = false
      initializeGL()
      console.info('WebGL context restored')
    })

    initializeGL()
  })

  function initializeGL() {
    gl.value = getWebGLContext(canvas.value!)
    // Reinitialize all resources
  }

  return { gl, contextLost }
}

4.3 Holographic Shader

// shaders/holographic.frag
#version 300 es
precision highp float;

uniform float uTime;
uniform vec3 uColor;
uniform float uScanlineIntensity;

in vec2 vUv;
out vec4 fragColor;

void main() {
  // Scanline effect
  float scanline = sin(vUv.y * 200.0 + uTime * 2.0) * 0.5 + 0.5;
  scanline = mix(1.0, scanline, uScanlineIntensity);

  // Edge glow
  float edge = smoothstep(0.0, 0.1, vUv.x) *
               smoothstep(1.0, 0.9, vUv.x) *
               smoothstep(0.0, 0.1, vUv.y) *
               smoothstep(1.0, 0.9, vUv.y
how to use webgl

How to use webgl on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add webgl
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/martinholovsky/claude-skills-generator --skill webgl

The skills CLI fetches webgl from GitHub repository martinholovsky/claude-skills-generator and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/webgl

Reload or restart Cursor to activate webgl. Access the skill through slash commands (e.g., /webgl) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.858 reviews
  • Noah Garcia· Dec 28, 2024

    webgl reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kwame Bansal· Dec 24, 2024

    I recommend webgl for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Jin Mensah· Dec 12, 2024

    Keeps context tight: webgl is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Alexander Nasser· Dec 8, 2024

    webgl is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sofia Robinson· Nov 27, 2024

    We added webgl from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Luis Menon· Nov 27, 2024

    webgl reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ren Jain· Nov 19, 2024

    webgl is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Mei Wang· Nov 15, 2024

    Solid pick for teams standardizing on skills: webgl is focused, and the summary matches what you get after install.

  • Luis Smith· Nov 3, 2024

    Registry listing for webgl matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Luis Mehta· Oct 22, 2024

    webgl reduced setup friction for our internal harness; good balance of opinion and flexibility.

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