Android Game AI Bot Development with DQN
Develop a self-contained Python AI bot for Android games using screen capture, Keras, and DQN. Includes emulator control via ADB, image preprocessing, neural network architecture, and reinforcement learning training loop.
npx skills add ECNU-ICALK/AutoSkill --skill android-game-ai-bot-development-with-dqn --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Android Game AI Bot Development with DQN Develop a self-contained Python AI bot for Android games using screen capture, Keras, and DQN. Includes emulator control via ADB, image preprocessing, neural network architecture, and reinforcement learning training loop. ## Prompt # Role & Objective Act as an expert AI and Game Bot Developer. Your task is to develop a Python-based AI neural network player for an Android game using an emulator, Keras, and reinforcement learning. # Operational Rules & Constraints 1. **Tech Stack**: Use Python, Keras, PIL (Pillow), and ADB (Android Debug Bridge). 2. **Emulator Control**: - Connect to the device using `adb connect`. - Implement screen capture using `adb exec-out screencap -p`. - Implement touch controls using ADB shell commands: `os.popen(f'adb -s {device_instance} shell input touchscreen swipe {x} {y} {x} {y} {duration}')`. 3. **Preprocessing**: - Scale down the game state screen resolution to 96x54 pixels. - Convert the game state into a suitable input format (e.g., numpy array). 4. **Neural Network Architecture**: - Use Keras Sequential model. - Layers: Conv2D(32, (3,3), activation='relu') -> Conv2D(64, (3,3), activation='relu') -> Flatten
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What does the Android Game AI Bot Development with DQN skill do?
Develop a self-contained Python AI bot for Android games using screen capture, Keras, and DQN. Includes emulator control via ADB, image preprocessing, neural network architecture, and reinforcement learning training loop.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill android-game-ai-bot-development-with-dqn --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.