Ascii Animation logo

Ascii Animation

Organization
iart-ai
ascii-animation

This skill should be used when the user asks to "make an ASCII animation", "build a terminal/CLI intro or loader", "convert an image or video to ASCII art", "add an ASCII shader/post-effect to a canvas or Three.js scene", "create retro/hacker text-character motion", or "animate text characters with a brightness ramp". Covers generative ASCII fields, image/video/3D-to-ASCII, and animated character art for both web and terminal.

Overview

Publisheriart-ai
Repositoryweb-animation-skills
Skill nameascii-animation
Stars
71
Forks
10
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 iart-ai on GitHub. Read the source before you install it.

Installation

Install the Ascii Animation 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/iart-ai/web-animation-skills/tree/main/skills/ascii-animation
  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/iart-ai/web-animation-skills.git /tmp/web-animation-skills
mkdir -p .claude/skills
cp -r /tmp/web-animation-skills/skills/ascii-animation .claude/skills/ascii-animation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ascii Animation 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 Ascii Animation 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 Ascii Animation 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.

ASCII Animation

Render motion entirely with text characters. ASCII output is extremely lightweight, distinctive, and works in browsers (<pre>/canvas), terminals (ANSI), and over any 3D scene (Three.js AsciiEffect).

When to use

  • Build terminal/CLI intros, loaders, banners, or a retro/hacker aesthetic.
  • Convert an image, video frame, or 3D scene into animated ASCII.
  • Add an ASCII post-effect over an existing canvas/WebGL render.
  • Create generative text fields (plasma, sine waves, noise, tunnels).

Core concept: the brightness ramp

Map luminance (0..1) to a character whose ink density matches. Order characters dark-to-light. Pick the index with Math.round(lum * (ramp.length - 1)).

Common ramps (dark to light):

  • Short (10): .:-=+*#%@
  • Medium (16): .'\^",:;Il!i><~+_-?][}{1)(|/tfjrxnuvczXYUJCLQ0OZmwqpdbkhao*#MW&8%B@$` truncated — see table below.
  • Standard 70-level (Paul Bourke), best for photos: $@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,"^`'. (reverse for dark-on-light).

Compute relative luminance from sRGB (perceptual):

js
const lum = (0.2126 * r + 0.7152 * g + 0.0722 * b) / 255; // 0..1

Invert when drawing dark text on a light background: lum = 1 - lum.

Character cell aspect correction (the #1 gotcha)

Monospace character cells are taller than wide — roughly 0.5 width:height. Sampling a square pixel grid produces a vertically stretched image. Correct by sampling fewer rows than columns: for a target of cols characters wide, use rows = Math.round(cols * (imgH / imgW) * fontAspect) where fontAspect ≈ 0.5. Equivalently, when drawing to an offscreen canvas, set its height to cols * aspect * 0.5.

Web rendering: <pre> vs canvas

  • <pre> + textContent: simplest. One string with \n per row. Fine up to ~120×60 chars at 30fps. Set white-space: pre; font-family: monospace; line-height: 1;.
  • Canvas fillText: needed for per-character color, larger grids, or 60fps. Draw each char at x * cellW, y * cellH. Faster than thousands of DOM nodes.

Generative <pre> field (plasma):

js
const pre = document.querySelector('pre');
const COLS = 100, ROWS = 50, ramp = ' .:-=+*#%@';
function frame(t) {
  let out = '';
  for (let y = 0; y < ROWS; y++) {
    for (let x = 0; x < COLS; x++) {
      const v = Math.sin(x * 0.2 + t * 0.001)
              + Math.sin(y * 0.3 + t * 0.0013)
              + Math.sin((x + y) * 0.15 + t * 0.0007);
      const lum = (v + 3) / 6;                    // normalize -3..3 to 0..1
      out += ramp[Math.round(lum * (ramp.length - 1))];
    }
    out += '\n';
  }
  pre.textContent = out;
  requestAnimationFrame(frame);
}
requestAnimationFrame(frame);

Image / video to ASCII

Draw the source to a small offscreen canvas at cols × rows, read pixels with getImageContext().getImageData, then map each pixel to a character. For video, repeat per frame from a <video> element.

js
function videoToAscii(video, cols = 120) {
  const aspect = video.videoHeight / video.videoWidth;
  const rows = Math.round(cols * aspect * 0.5);   // cell aspect correction
  const cv = document.createElement('canvas');
  cv.width = cols; cv.height = rows;
  const ctx = cv.getContext('2d', { willReadFrequently: true });
  const ramp = ' .:-=+*#%@', pre = document.querySelector('pre');
  (function tick() {
    ctx.drawImage(video, 0, 0, cols, rows);
    const { data } = ctx.getImageData(0, 0, cols, rows);
    let out = '';
    for (let i = 0; i < data.length; i += 4) {
      const lum = (0.2126*data[i] + 0.7152*data[i+1] + 0.0722*data[i+2]) / 255;
      out += ramp[Math.round(lum * (ramp.length - 1))];
      if (((i / 4) + 1) % cols === 0) out += '\n';
    }
    pre.textContent = out;
    requestAnimationFrame(tick);
  })();
}

For Node image→ASCII, see scripts/img-to-ascii.mjs.

3D-to-ASCII with Three.js

AsciiEffect wraps a renderer and renders any scene as ASCII into a DOM element. Render through the effect, not the renderer.

js
import { AsciiEffect } from 'three/addons/effects/AsciiEffect.js';
const effect = new AsciiEffect(renderer, ' .:-=+*#%@', { invert: true });
effect.setSize(innerWidth, innerHeight);
effect.domElement.style.color = '#0f0';
effect.domElement.style.backgroundColor = 'black';
document.body.appendChild(effect.domElement);
// in loop: effect.render(scene, camera);  // NOT renderer.render

Terminal / CLI animation

Loop with ANSI escape codes: hide the cursor, move to home, print the frame, throttle to 12–24 fps. Show the cursor again on exit.

js
const ESC = '\x1b[';
process.stdout.write(ESC + '?25l');               // hide cursor
function frame(t) {
  process.stdout.write(ESC + 'H');                // cursor to top-left
  // build and write rows...
}
const id = setInterval(() => frame(Date.now()), 1000 / 20);
process.on('SIGINT', () => {
  clearInterval(id);
  process.stdout.write(ESC + '?25h' + ESC + '2J'); // show cursor, clear
  process.exit();
});

Use ESC + '2J' to clear the whole screen, ESC + 'H' for home (cheaper per frame than clearing). Color with \x1b[38;2;R;G;Bm (truecolor) and reset with \x1b[0m.

Deliver & verify (standalone HTML)

Packaged helper (scripts/): scripts/seek-shot.sh anim.html 0 1.5 3 freezes the ?t=N harness and screenshots each moment; scripts/contact-sheet.sh sheet.png frame-*.png tiles them for one-glance review. See scripts/README.md.

For a self-contained web ASCII piece (generative field, image/video→ASCII, AsciiEffect scene) the deliverable is one HTML file that opens directly in a browser — the <pre>/canvas, the ramp, and the rAF loop inline (Three.js from CDN if used). No build step. One file is the right tier; don't reach for a bundler. (Terminal/CLI pieces verify differently — capture stdout or a screenshot of the terminal.)

Output contract:

  • One .html file: the render target, the brightness ramp, and the requestAnimationFrame loop in one inline <script>.
  • Drive frames from an injectable time (not Date.now()/performance.now() directly) and seed any randomness, so a frame is reproducible.

Seek harness — freeze the rAF loop on a deterministic frame. ?t=N renders exactly one frame at simulated time N instead of looping, so a screenshot is reproducible. Feed N where the loop reads time, and fix the seed:

html
<script>
  const t = new URLSearchParams(location.search).get("t");
  // your frame(time){…} reads `time`, not Date.now(); RNG uses a fixed seed
  if (t !== null) { frame(parseFloat(t)); }        // render ONE frame, no rAF
  else { (function loop(now){ frame(now); requestAnimationFrame(loop); })(0); }
  window.__ready = true;
</script>

Verify loop — render → freeze → screenshot → check: render at a few simulated times (?t=0, ?t=1000, ?t=2000), screenshot each, and check fidelity (ramp reads dark→light correctly, motion evolves) plus artifacts (vertical stretch from missing cell-aspect correction, wrong invert on a light bg, clipped grid, FOUC before the monospace font loads — fonts settle the cell metrics, so wait). Any headless tool works:

bash
npx playwright screenshot --wait-for-timeout=500 "file://$PWD/ascii.html?t=1000" frame-mid.png

Before you finish:

  1. Opens standalone — no console errors, CDN (Three.js, if used) loads, monospace font applied.
  2. ?t=N renders one deterministic frame (injected time + fixed seed), no live loop.
  3. Screenshotted at 3 simulated times — matches the brief, no vertical stretch or wrong-invert.
  4. prefers-reduced-motion honored — stop/slow the rAF loop, show a static frame.
  5. Easing is intentional — frame rate throttled on purpose (12–24fps for retro feel), ramp ordering deliberate.

Quick reference

NeedApproach
Simple generative field<pre> + textContent, sine/noise → ramp
Photo fidelity70-level Bourke ramp, luminance from sRGB weights
Per-char color / 60fpsCanvas fillText per cell
Video<video> → offscreen canvas → getImageData per frame
3D sceneThree.js AsciiEffect.render(scene, camera)
TerminalANSI \x1b[H home + throttle 12–24fps, hide cursor
Aspect fixrows = cols * imgAspect * 0.5

Reference files

  • references/rendering.md — Full brightness ramp tables (10/70/extended), pixel sampling math and cell aspect correction, <pre> vs canvas tradeoffs with code, ANSI terminal frame loop with truecolor, and complete AsciiEffect wiring.
  • scripts/img-to-ascii.mjs — Runnable Node script that converts a PNG/JPG file to ASCII text, with --cols, --invert, and --ramp flags.

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 Ascii Animation AI skill do?

This skill should be used when the user asks to "make an ASCII animation", "build a terminal/CLI intro or loader", "convert an image or video to ASCII art", "add an ASCII shader/post-effect to a canvas or Three.js scene", "create retro/hacker text-character motion", or "animate text characters with a brightness ramp". Covers generative ASCII fields, image/video/3D-to-ASCII, and animated character art for both web and terminal.

Why use Ascii Animation on TypingMind?

Because you install it once and use it with any model. Ascii Animation 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 Ascii Animation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iart-ai/web-animation-skills/tree/main/skills/ascii-animation. 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 Ascii Animation?

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 Ascii Animation?

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

Is the Ascii Animation AI skill free?

Yes. It is published on GitHub by iart-ai 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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