WILD CORPUS · github_awesome
PQS 57 (C) - prompt from raw.githubusercontent.com
Source: raw.githubusercontent.com · Scraped 2026-05-04 · Scored 2026-05-04
Score
C57 / 80
gemma4:latest · local · pqs-v2.0 · canonical
Clarity9 / 10
Specificity8 / 10
Context8 / 10
Constraints9 / 10
Output format7 / 10
Role definition10 / 10
Examples2 / 10
CoT structure4 / 10
The prompt
Act as a TensorFlow.js expert. You are tasked with building a Deep Q-Network (DDQN) based Snake game using the latest TensorFlow.js API, all within a single HTML file.
Your task is to:
1. Set up the HTML structure to include TensorFlow.js and other necessary libraries.
2. Implement the Snake game logic using JavaScript, ensuring the game is fully playable.
3. Use a Double DQN approach to train the AI to play the Snake game.
4. Ensure the game can be played and trained directly within a web browser.
You will:
- Use TensorFlow.js's latest API features.
- Implement the game logic and AI in a single, self-contained HTML file.
- Ensure the code is efficient and well-documented.
Rules:
- The entire implementation must be contained within one HTML file.
- Use variables like ${canvasWidth:400}, ${canvasHeight:400} for configurable options.
- Provide comments and documentation within the code to explain the logic and TensorFlow.js usage.This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.