Promo Video logo

Promo Video

Organization
PlayableIntelligence
promo-video

Record a high-FPS autonomous promo video of a Phaser game using Playwright. Triggers on: promo video, gameplay recording, marketing video, game capture.

Overview

PublisherPlayableIntelligence
Repositorygame-creator
Skill namepromo-video
Stars
331
Forks
41
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Promo Video 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.
  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/PlayableIntelligence/game-creator.git /tmp/game-creator
mkdir -p .claude/skills
cp -r /tmp/game-creator/skills/promo-video .claude/skills/promo-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Promo Video 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 Promo Video 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 Promo Video 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.

Promo Video Recording

Record smooth, autonomous promo footage of a Phaser game for marketing / social media. The output is a 50 FPS MP4 in mobile portrait (9:16) — ready for TikTok, Reels, Moltbook, or X.

Technique

Playwright's recordVideo caps at 25 FPS with no config option. We work around it:

  1. Slow the game to 0.5× by patching all 5 Phaser time subsystems
  2. Record for 2× the desired duration at Playwright's native 25 FPS
  3. FFmpeg speed-up 2× → effective 50 FPS output
ParameterDefaultEffect
SLOW_MO_FACTOR0.5Game runs at half speed → 50 FPS output
WALL_CLOCK_DURATIONDESIRED_GAME_DURATION / SLOW_MO_FACTORRecord for 2× to get correct game-time
VIEWPORT{ width: 1080, height: 1920 }9:16 mobile portrait (always default unless user specifies otherwise)
DESIRED_GAME_DURATION13000 (ms)~13s of game-time → ~6.5s promo clip

Prerequisites

  • Playwright — must be installed (npm install -D @playwright/test && npx playwright install chromium)
  • FFmpeg — must be available on PATH (brew install ffmpeg on macOS)
  • Dev server running — game must be served on localhost

Check both before starting:

bash
npx playwright --version
ffmpeg -version | head -1

If FFmpeg is not found, warn the user and skip the promo video step (it's non-blocking — the game still works without it).

Capture Script — Game-Specific Adaptation

Every game gets a custom scripts/capture-promo.mjs. The subagent must read the game's source files to determine:

1. Death/Failure Patching (CRITICAL)

The video must show continuous gameplay — never game over. Read GameScene.js (or equivalent) to find the death/failure method and monkey-patch it out.

How to find it: Search for the method called on collision/death. Common patterns:

  • this.triggerGameOver() — dodge games
  • this.takeDamage()this.lives <= 0 — multi-life games
  • this.gameOver() — direct call
  • eventBus.emit(Events.PLAYER_HIT) / eventBus.emit(Events.GAME_OVER) — event-driven

Patch template (adapt per game):

js
await page.evaluate(() => {
  const scene = window.__GAME__.scene.getScene("GameScene");
  if (scene) {
    // Patch ALL paths to game over
    scene.triggerGameOver = () => {};
    scene.onPlayerHit = () => {};
    // For multi-life games, also prevent damage:
    // scene.takeDamage = () => {};
    // scene.playerDied = () => {};
  }
});

2. Input Sequence Generation

The video must show dynamic, natural-looking gameplay. Read the game's input handling to determine:

  • Which keys — ArrowLeft/ArrowRight? Space? WASD? Mouse clicks?
  • Input style — continuous hold (movement), tap (jump/shoot), or both?
  • Movement pattern — should the player sweep across the screen, dodge reactively, jump rhythmically?

Input patterns by game type:

Game TypeInput KeysPattern
Side dodgerArrowLeft, ArrowRightAlternating holds (150-600ms) with variable pauses, occasional double-taps
Platformer / FlappySpaceRhythmic taps (80-150ms hold) with variable gaps (200-800ms)
Top-downWASD / ArrowsMixed directional holds, figure-eight patterns
ShooterArrowLeft/Right + SpaceMovement interleaved with rapid fire
Clicker/TapperMouse click / SpaceRapid bursts separated by brief pauses

Randomize timing to avoid robotic-looking movement:

js
const holdMs = 150 + Math.floor(Math.random() * 450);
const pauseMs = 50 + Math.floor(Math.random() * 250);

Add a pause at the start (1-2s) to let the entrance animation play — this is the hook.

3. Game Boot Detection

All Phaser games built with the /viral-game or /make-game pipelines expose these globals:

  • window.__GAME__ — Phaser.Game instance
  • window.__GAME_STATE__ — GameState singleton
  • window.__EVENT_BUS__ — EventBus singleton

Wait for both boot and active gameplay:

js
await page.waitForFunction(() => window.__GAME__?.isBooted, { timeout: 15000 });
await page.waitForFunction(() => window.__GAME_STATE__?.started, {
  timeout: 10000,
});

4. Time Scaling Injection

Slow all 5 Phaser time subsystems for the recording:

js
await page.evaluate(
  ({ factor }) => {
    const game = window.__GAME__;
    const scene = game.scene.getScene("GameScene");

    // 1. Update delta — slows frame-delta-dependent logic
    const originalUpdate = scene.update.bind(scene);
    scene.update = function (time, delta) {
      originalUpdate(time, delta * factor);
    };

    // 2. Tweens — slows all tween animations
    scene.tweens.timeScale = factor;

    // 3. Scene timers — slows scene.time.addEvent() timers
    scene.time.timeScale = factor;

    // 4. Physics — slows Arcade/Matter physics
    // NOTE: Arcade physics timeScale is INVERSE (higher = slower)
    if (scene.physics?.world) {
      scene.physics.world.timeScale = 1 / factor;
    }

    // 5. Animations — slows sprite animation playback
    if (scene.anims) {
      scene.anims.globalTimeScale = factor;
    }
  },
  { factor: SLOW_MO_FACTOR },
);

The 5 subsystems:

  1. Update deltascene.update(time, delta * factor) slows frame-delta-dependent logic
  2. Tweensscene.tweens.timeScale slows all tween animations
  3. Scene timersscene.time.timeScale slows scene.time.addEvent() timers
  4. Physicsscene.physics.world.timeScale slows Arcade/Matter physics (uses inverse: 1/factor)
  5. Animationsscene.anims.globalTimeScale slows sprite animation playback

5. Video Finalization

js
const video = page.video();
await context.close(); // MUST close context to finalize the video file
const videoPath = await video.path();

Full Capture Script Template

js
import { chromium } from "playwright";
import path from "path";
import fs from "fs";
import { fileURLToPath } from "url";

const __dirname = path.dirname(fileURLToPath(import.meta.url));
const PROJECT_DIR = path.resolve(__dirname, "..");

// --- Config ---
const args = process.argv.slice(2);
function getArg(name, fallback) {
  const i = args.indexOf(`--${name}`);
  return i !== -1 && args[i + 1] ? args[i + 1] : fallback;
}

const PORT = getArg("port", "3000");
const GAME_URL = `http://localhost:${PORT}/`;
const VIEWPORT = { width: 1080, height: 1920 }; // 9:16 mobile portrait
const SLOW_MO_FACTOR = 0.5;
const DESIRED_GAME_DURATION = parseInt(getArg("duration", "13000"), 10);
const WALL_CLOCK_DURATION = DESIRED_GAME_DURATION / SLOW_MO_FACTOR;
const OUTPUT_DIR = path.resolve(PROJECT_DIR, getArg("output-dir", "output"));
const OUTPUT_FILE = path.join(OUTPUT_DIR, "promo-raw.webm");

// <ADAPT: Generate game-specific input sequence>
function generateInputSequence(totalMs) {
  const sequence = [];
  let elapsed = 0;

  // Pause for entrance animation
  sequence.push({ key: null, holdMs: 0, pauseMs: 1500 });
  elapsed += 1500;

  // <ADAPT: Replace with game-specific keys and timing>
  const keys = ["ArrowLeft", "ArrowRight"];
  let keyIdx = 0;

  while (elapsed < totalMs) {
    const holdMs = 150 + Math.floor(Math.random() * 450);
    const pauseMs = 50 + Math.floor(Math.random() * 250);

    // Occasional double-tap for variety
    if (Math.random() < 0.15) {
      sequence.push({ key: keys[keyIdx], holdMs: 100, pauseMs: 60 });
      elapsed += 160;
    }

    sequence.push({ key: keys[keyIdx], holdMs, pauseMs });
    elapsed += holdMs + pauseMs;

    // Alternate direction (with occasional same-direction repeats)
    if (Math.random() < 0.75) keyIdx = 1 - keyIdx;
  }

  return sequence;
}

async function captureGameplay() {
  console.log("Capturing promo video...");
  console.log(
    `  URL: ${GAME_URL} | Viewport: ${VIEWPORT.width}x${VIEWPORT.height}`,
  );
  console.log(
    `  Game duration: ${DESIRED_GAME_DURATION}ms | Wall clock: ${WALL_CLOCK_DURATION}ms`,
  );

  fs.mkdirSync(OUTPUT_DIR, { recursive: true });

  const browser = await chromium.launch({ headless: true });
  const context = await browser.newContext({
    viewport: VIEWPORT,
    recordVideo: { dir: OUTPUT_DIR, size: VIEWPORT },
  });

  const page = await context.newPage();
  await page.goto(GAME_URL, { waitUntil: "networkidle" });

  // Wait for game boot + gameplay active
  await page.waitForFunction(() => window.__GAME__?.isBooted, {
    timeout: 15000,
  });
  await page.waitForFunction(() => window.__GAME_STATE__?.started, {
    timeout: 10000,
  });
  await page.waitForTimeout(300);
  console.log("  Game active.");

  // <ADAPT: Patch out death — find the actual methods from GameScene.js>
  await page.evaluate(() => {
    const scene = window.__GAME__.scene.getScene("GameScene");
    if (scene) {
      scene.triggerGameOver = () => {};
      scene.onPlayerHit = () => {};
    }
  });
  console.log("  Death patched.");

  // Slow all 5 Phaser time subsystems
  await page.evaluate(
    ({ factor }) => {
      const game = window.__GAME__;
      const scene = game.scene.getScene("GameScene");
      const originalUpdate = scene.update.bind(scene);
      scene.update = function (time, delta) {
        originalUpdate(time, delta * factor);
      };
      scene.tweens.timeScale = factor;
      scene.time.timeScale = factor;
      if (scene.physics?.world) scene.physics.world.timeScale = 1 / factor;
      if (scene.anims) scene.anims.globalTimeScale = factor;
    },
    { factor: SLOW_MO_FACTOR },
  );
  console.log(`  Slowed to ${SLOW_MO_FACTOR}x.`);

  // Execute input sequence
  const sequence = generateInputSequence(WALL_CLOCK_DURATION);
  console.log(
    `  Playing ${sequence.length} inputs over ${WALL_CLOCK_DURATION}ms...`,
  );

  for (const seg of sequence) {
    if (!seg.key) {
      await page.waitForTimeout(seg.pauseMs);
      continue;
    }
    await page.keyboard.down(seg.key);
    await page.waitForTimeout(seg.holdMs);
    await page.keyboard.up(seg.key);
    if (seg.pauseMs > 0) await page.waitForTimeout(seg.pauseMs);
  }

  console.log("  Input complete.");

  // Finalize video
  const video = page.video();
  await context.close();
  const videoPath = await video.path();

  if (videoPath !== OUTPUT_FILE) {
    fs.renameSync(videoPath, OUTPUT_FILE);
  }

  await browser.close();
  console.log(`  Raw recording: ${OUTPUT_FILE}`);
  console.log("Done.");
}

captureGameplay().catch((err) => {
  console.error("Capture failed:", err);
  process.exit(1);
});

FFmpeg Conversion

After recording, convert the raw slow-mo WebM to a high-FPS MP4. The convert-highfps.sh script is bundled with this skill at skills/promo-video/scripts/convert-highfps.sh.

bash
# Copy to project (orchestrator does this)
cp <plugin-root>/skills/promo-video/scripts/convert-highfps.sh <project-dir>/scripts/

# Run conversion
bash scripts/convert-highfps.sh output/promo-raw.webm output/promo.mp4 0.5

The script:

  • Applies setpts to speed up the video by 1/factor
  • Sets output framerate to 25 / factor (= 50 FPS for 0.5× slow-mo)
  • Encodes H.264 with crf 23, yuv420p, faststart
  • Verifies output duration, frame rate, and file size

Viewport Defaults

Always record in mobile portrait (9:16) unless the user explicitly requests otherwise. Rationale:

  • Games are played on phones — promo footage should show the real mobile experience
  • 9:16 is native for TikTok, Instagram Reels, YouTube Shorts
  • 1080×1920 is the standard resolution
Aspect RatioViewportUse Case
9:16 (default)1080 × 1920Mobile portrait — TikTok, Reels, Shorts, Moltbook
1:11080 × 1080Square — Instagram feed, X posts
16:91920 × 1080Landscape — YouTube, trailers, desktop games

Duration Guidelines

Game TypeRecommended DurationWhy
Arcade / dodger10-15sFast action, multiple dodge cycles
Platformer15-20sShow jump timing, level progression
Shooter12-18sShow targeting, enemy waves
Puzzle8-12sShow one solve sequence

Checklist

Before running the capture:

  • Dev server is running and responding
  • FFmpeg is installed on the system
  • Playwright is installed with Chromium
  • Game boots directly into gameplay (no menu blocking)
  • Death/failure method identified and patched
  • Input keys match the game's actual controls
  • Entrance animation pause is included (1-2s)
  • Output directory exists

After capture:

  • Raw WebM exists in output/
  • FFmpeg conversion produces valid MP4
  • Duration is ~half the raw recording (speed-up worked)
  • Frame rate is 50 FPS
  • Video shows gameplay (not a black screen)

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 Promo Video AI skill do?

Record a high-FPS autonomous promo video of a Phaser game using Playwright. Triggers on: promo video, gameplay recording, marketing video, game capture.

Why use Promo Video on TypingMind?

Because you install it once and use it with any model. Promo Video 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 Promo Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PlayableIntelligence/game-creator/tree/main/skills/promo-video. 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 Promo Video?

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 Promo Video?

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

Is the Promo Video AI skill free?

Yes. It is published on GitHub by PlayableIntelligence 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇