shadertoy

bfollington/terma · updated Apr 8, 2026

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$npx skills add https://github.com/bfollington/terma --skill shadertoy
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summary

Real-time GLSL fragment shader development for procedural graphics and visual effects.

  • Provides complete Shadertoy API reference including built-in inputs (iResolution, iTime, iMouse, iChannel0-3) and the mainImage entry point structure
  • Covers essential patterns: ray marching with distance fields, procedural color palettes, hash functions, 2D/3D rotations, domain repetition, and post-processing techniques
  • Includes multi-pass rendering workflows for temporal feedback and buffer compos
skill.md

Shadertoy Shader Development

Overview

Shadertoy is a platform for creating and sharing GLSL fragment shaders that run in the browser using WebGL. This skill provides comprehensive guidance for writing shaders including GLSL ES syntax, common patterns, mathematical techniques, and best practices specific to real-time procedural graphics.

When to Use This Skill

Activate this skill when:

  • Writing or editing .glsl shader files
  • Creating procedural graphics, generative art, or visual effects
  • Working with Shadertoy.com projects or WebGL fragment shaders
  • Implementing ray marching, distance fields, or procedural textures
  • Debugging shader code or optimizing shader performance
  • Need GLSL ES syntax reference or Shadertoy input variables

Core Concepts

Shader Entry Point

Every Shadertoy shader implements the mainImage function:

void mainImage(out vec4 fragColor, in vec2 fragCoord)
{
    // fragCoord: pixel coordinates (0 to iResolution.xy)
    // fragColor: output color (RGBA, typically alpha = 1.0)

    vec2 uv = fragCoord / iResolution.xy;
    fragColor = vec4(uv, 0.0, 1.0);
}

Shadertoy Built-in Inputs

Always available in shaders:

Type Name Description
vec3 iResolution Viewport resolution (x, y, aspect ratio)
float iTime Current time in seconds (primary animation driver)
float iTimeDelta Time to render one frame
int iFrame Current frame number
vec4 iMouse Mouse: xy = current position, zw = click position
sampler2D iChannel0-iChannel3 Input textures/buffers
vec3 iChannelResolution[4] Resolution of each input channel
vec4 iDate Year, month, day, time in seconds (.xyzw)

Coordinate System Setup

Standard patterns for normalizing coordinates:

// Aspect-corrected UV centered at origin (-1 to 1, aspect-preserved)
vec2 uv = (fragCoord.xy - 0.5 * iResolution.xy) / min(iResolution.y, iResolution.x);

// Alternative compact form:
vec2 uv = (fragCoord * 2.0 - iResolution.xy) / min(iResolution.x, iResolution.y);

// Simple normalized (0 to 1)
vec2 uv = fragCoord / iResolution.xy;

Common Shader Patterns

1. Procedural Color Palettes

Use Inigo Quilez's cosine palette for smooth color gradients:

vec3 palette(float t, vec3 a, vec3 b, vec3 c, vec3 d) {
    return a + b * cos(6.28318 * (c * t + d));
}

// Example usage:
vec3 col = palette(
    t,
    vec3(0.5, 0.5, 0.5),    // base
    vec3(0.5, 0.5, 0.5),    // amplitude
    vec3(1.0, 1.0, 0.5),    // frequency
    vec3(0.8, 0.90, 0.30)   // phase
);

2. Hash Functions (Pseudo-Random)

Simple 2D hash for noise and randomness:

float hash21(vec2 p) {
    p = fract(p * vec2(234.34, 435.345));
    p += dot(p, p + 34.23);
    return fract(p.x * p.y);
}

3. Ray Marching

Standard pattern for 3D rendering via sphere tracing:

// Distance field function
float map(vec3 p) {
    return length(p) - 1.0;  // Sphere at origin, radius 1
}

// Normal calculation
vec3 calcNormal(vec3 p) {
    vec2 e = vec2(0.001, 0.0);
    return normalize(vec3(
        map(p + e.xyy) - map(p - e.xyy),
        map(p + e.yxy) - map(p - e.yxy),
        map(p + e.yyx) - map(p - e.yyx)
    ));
}

// Ray marching loop
vec3 render(vec3 ro, vec3 rd) {
    float t = 0.0;
    for (int i = 0; i < 100; i++) {
        vec3 p = ro + rd * t;
        float d = map(p);
        if (d < 0.001) {
            // Hit - calculate lighting
            vec3 n = calcNormal(p);
            return n * 0.5 + 0.5;  // Normal visualization
        }
        if (t > 10.0) break;
        t += d * 0.5;  // Step (0.5 factor for safety)
    }
    return vec3(0.0);  // Miss
}

4. Rotations

2D rotation:

mat2 rot2d(float a) {
    float c = cos(a), s = sin(a);
    return mat2(c, -s, s, c);
}
// Usage: p.xy *= rot2d(iTime);

3D axis-angle rotation (modifies in-place):

void rot(inout vec3 p, vec3 axis, float angle) {
    axis = normalize(axis);
    float s = sin(angle), c = cos(angle), oc = 1.0 - c;
    mat3 m = mat3(
        oc * axis.x * axis.x + c,           oc * axis.x * axis.y - axis.z * s,  oc * axis.z * axis.x + axis.y * s,
        oc * axis.x * axis.y + axis.z * s,  oc * axis.y * axis.y + c,           oc * axis.y * axis.z 
how to use shadertoy

How to use shadertoy 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 shadertoy
2

Execute installation command

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

$npx skills add https://github.com/bfollington/terma --skill shadertoy

The skills CLI fetches shadertoy from GitHub repository bfollington/terma 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/shadertoy

Reload or restart Cursor to activate shadertoy. Access the skill through slash commands (e.g., /shadertoy) 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

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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)
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general reviews

Ratings

4.750 reviews
  • Kabir Menon· Dec 28, 2024

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

  • Charlotte Abebe· Dec 28, 2024

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

  • Kabir Sanchez· Dec 20, 2024

    Useful defaults in shadertoy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Tariq Khan· Nov 23, 2024

    Useful defaults in shadertoy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kabir Ramirez· Nov 19, 2024

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

  • Kabir Jackson· Nov 11, 2024

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

  • Aanya Singh· Oct 14, 2024

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

  • Alexander Ghosh· Oct 10, 2024

    Useful defaults in shadertoy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Li Sharma· Oct 2, 2024

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

  • Tariq Park· Sep 21, 2024

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

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