Pixijs Ticker logo

Pixijs Ticker

Organization
pixijs
pixijs-ticker

Use this skill when running per-frame logic or controlling the PixiJS v8 render loop. Covers Ticker.add/addOnce/remove, deltaTime vs deltaMS vs elapsedMS, UPDATE_PRIORITY ordering, maxFPS/minFPS capping, speed scaling, Ticker.shared vs new instances, per-object onRender hook, manual rendering. Triggers on: Ticker, UPDATE_PRIORITY, deltaTime, deltaMS, elapsedMS, onRender, app.ticker, maxFPS, minFPS, Ticker.shared.

Overview

Publisherpixijs
Repositorypixijs-skills
Skill namepixijs-ticker
Stars
357
Forks
19
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Pixijs Ticker 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/pixijs/pixijs-skills/tree/main/skills/pixijs-ticker
  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/pixijs/pixijs-skills.git /tmp/pixijs-skills
mkdir -p .claude/skills
cp -r /tmp/pixijs-skills/skills/pixijs-ticker .claude/skills/pixijs-ticker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pixijs Ticker 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 Pixijs Ticker 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 Pixijs Ticker 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.

app.ticker runs registered callbacks every frame and drives app.render() at UPDATE_PRIORITY.LOW. Each callback receives the Ticker instance; read deltaTime as a frame-rate-independent multiplier (≈1.0 at 60fps) or deltaMS for real-time calculations.

Quick Start

ts
app.ticker.add((ticker) => {
  sprite.rotation += 0.01 * ticker.deltaTime;
  sprite.x += (200 / 1000) * ticker.deltaMS;
});

app.ticker.add(
  (ticker) => {
    updatePhysics(ticker.deltaMS);
  },
  undefined,
  UPDATE_PRIORITY.HIGH,
);

app.ticker.maxFPS = 30;
app.ticker.speed = 0.5;

sprite.onRender = () => {
  sprite.scale.x = Math.sin(performance.now() / 500);
};

Related skills: pixijs-application (Application setup and sharedTicker option), pixijs-performance (frame rate optimization), pixijs-migration-v8 (v7 ticker signature changes).

Core Patterns

Time units

The Ticker exposes three timing values, each for different use cases:

PropertyTypeScaled by speed?Capped by minFPS?Use case
deltaTimedimensionless (~1.0 at 60fps)yesyesFrame-rate-independent animation multipliers
deltaMSmillisecondsyesyesTime-based calculations (pixels/sec)
elapsedMSmillisecondsnonoRaw measurement, profiling
ts
import { Application } from "pixi.js";

const app = new Application();
await app.init({ width: 800, height: 600 });

app.ticker.add((ticker) => {
  // deltaTime: dimensionless scalar, ~1.0 at 60fps
  sprite.rotation += 0.1 * ticker.deltaTime;

  // deltaMS: real milliseconds (speed-scaled, capped)
  sprite.x += (200 / 1000) * ticker.deltaMS; // 200 pixels per second

  // elapsedMS: raw milliseconds (no scaling, no cap)
  console.log(`Raw frame time: ${ticker.elapsedMS}ms`);
});

Tension note: deltaTime is not milliseconds. It is deltaMS * Ticker.targetFPMS where targetFPMS is 0.06 (i.e. 1/16.67). At exactly 60fps, deltaTime is 1.0. At 30fps, deltaTime is 2.0. This catches people who treat it as a time value.

Priority ordering and context binding

ts
import { Application, UPDATE_PRIORITY } from "pixi.js";

const app = new Application();
await app.init({ width: 800, height: 600 });

// INTERACTION (50) > HIGH (25) > NORMAL (0) > LOW (-25) > UTILITY (-50)
// app.render() is registered at LOW by the TickerPlugin

app.ticker.add(
  (ticker) => {
    // Physics runs before normal-priority callbacks
    updatePhysics(ticker.deltaMS);
  },
  undefined,
  UPDATE_PRIORITY.HIGH,
);

app.ticker.add((ticker) => {
  // Default priority (NORMAL = 0), runs after HIGH but before render
  updateAnimations(ticker.deltaTime);
});

// Pass `this` as the second argument to preserve context on class methods
class GameSystem {
  public speed = 5;
  public position = 0;

  public update(ticker: Ticker): void {
    this.position += this.speed * ticker.deltaTime;
  }
}

const system = new GameSystem();
app.ticker.add(system.update, system);
app.ticker.remove(system.update, system); // must match both fn and context

Frame rate capping

ts
import { Ticker } from "pixi.js";

const ticker = new Ticker();

ticker.maxFPS = 30; // Cap at 30fps (skips frames to maintain interval)
ticker.minFPS = 10; // Cap deltaTime so it never exceeds 10fps worth

// If maxFPS < minFPS, minFPS is lowered to match
// If minFPS > maxFPS, maxFPS is raised to match

maxFPS skips update calls to enforce a ceiling. minFPS caps deltaTime/deltaMS so large frame drops don't produce enormous deltas (default minFPS is 10).

Per-object onRender hook

ts
import { Sprite, Assets, Application } from "pixi.js";

const app = new Application();
await app.init({ width: 800, height: 600 });

const texture = await Assets.load("bunny.png");
const sprite = new Sprite(texture);
app.stage.addChild(sprite);

sprite.onRender = (renderer) => {
  sprite.rotation += 0.01;
};

onRender is called during scene graph traversal, before GPU rendering. It is an alternative to a global ticker callback when logic is tied to a specific display object.

Ticker.shared, Ticker.system, and new Ticker

ts
import { Ticker, UPDATE_PRIORITY } from "pixi.js";

// Ticker.shared: singleton, autoStart=true, protected from destroy()
const shared = Ticker.shared;

// Ticker.system: separate instance used by engine background tasks,
// independent of the main scene ticker. It's a plain Ticker instance
// (autoStart=true, _protected=true) with no intrinsic priority; listeners
// are typically added at UTILITY priority by convention.
const system = Ticker.system;

// new Ticker(): custom instance, autoStart=false, you manage the lifecycle
const custom = new Ticker();
custom.autoStart = true; // start when first listener is added
custom.add((ticker) => {
  console.log(ticker.deltaMS);
});

// One-shot callback that auto-removes after firing
custom.addOnce(() => console.log("fires once"), null, UPDATE_PRIORITY.NORMAL);

// When done:
custom.stop();
custom.destroy();

Application creates its own Ticker by default. Set sharedTicker: true in app.init() to use Ticker.shared instead. Ticker.shared and Ticker.system are both _protected and will not actually be destroyed if you call destroy() on them. Read ticker.FPS for the measured frame rate and ticker.count for the current listener count.

App lifecycle and manual rendering

ts
import { Application } from "pixi.js";

const app = new Application();
await app.init({ autoStart: false });

// Pause and resume the built-in render loop at any time.
app.start();
app.stop();

// Or drive the loop yourself (headless, visibility-gated, fixed timestep, etc.)
function animate() {
  app.ticker.update(); // fires registered callbacks
  app.render(); // renders the stage
  requestAnimationFrame(animate);
}
animate();

app.start() and app.stop() are added by the TickerPlugin and map to ticker.start() / ticker.stop(). Use autoStart: false plus your own frame driver when you need to pause on tab blur, run a fixed-timestep loop, or render offscreen.

Speed scaling

ts
import { Application } from "pixi.js";

const app = new Application();
await app.init({ width: 800, height: 600 });

app.ticker.speed = 0.5; // Half speed (slow motion)
app.ticker.speed = 2.0; // Double speed

// speed affects deltaTime and deltaMS, but NOT elapsedMS

Common Mistakes

[CRITICAL] Ticker callback expects delta as first argument

Wrong:

ts
app.ticker.add((dt) => {
  bunny.rotation += dt;
});

Correct:

ts
app.ticker.add((ticker) => {
  bunny.rotation += ticker.deltaTime;
});

v8 passes the Ticker instance as the callback argument, not a delta number. The v7 pattern (dt) => ... compiles but dt is the entire Ticker object, so arithmetic on it produces NaN.

[HIGH] Using updateTransform for per-frame logic

Wrong:

ts
class MySprite extends Sprite {
  updateTransform() {
    super.updateTransform();
    this.rotation += 0.01;
  }
}

Correct:

ts
class MySprite extends Sprite {
  constructor() {
    super();
    this.onRender = this._onRender.bind(this);
  }
  private _onRender() {
    this.rotation += 0.01;
  }
}

updateTransform was removed in v8. Use the onRender callback for per-object per-frame logic.

[MEDIUM] Treating deltaTime as milliseconds

Wrong:

ts
app.ticker.add((ticker) => {
  // Tries to move 100px/sec but deltaTime is ~1.0, not ~16.67
  sprite.x += (100 * ticker.deltaTime) / 1000;
});

Correct:

ts
app.ticker.add((ticker) => {
  // Using deltaMS for time-based movement
  sprite.x += (100 / 1000) * ticker.deltaMS;
  // Or using deltaTime as a frame-rate multiplier
  sprite.x += 1.5 * ticker.deltaTime;
});

deltaTime is a dimensionless scalar (~1.0 at 60fps), not milliseconds. Use deltaMS for real time calculations. Use deltaTime as a simple multiplier when you want "per frame at 60fps" behavior.

API Reference

Frequently asked questions

What does the Pixijs Ticker AI skill do?

Use this skill when running per-frame logic or controlling the PixiJS v8 render loop. Covers Ticker.add/addOnce/remove, deltaTime vs deltaMS vs elapsedMS, UPDATE_PRIORITY ordering, maxFPS/minFPS capping, speed scaling, Ticker.shared vs new instances, per-object onRender hook, manual rendering. Triggers on: Ticker, UPDATE_PRIORITY, deltaTime, deltaMS, elapsedMS, onRender, app.ticker, maxFPS, minFPS, Ticker.shared.

Why use Pixijs Ticker on TypingMind?

Because you install it once and use it with any model. Pixijs Ticker 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 Pixijs Ticker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pixijs/pixijs-skills/tree/main/skills/pixijs-ticker. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pixijs Ticker?

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 Pixijs Ticker?

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

Is the Pixijs Ticker AI skill free?

Yes. It is published on GitHub by pixijs 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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