Relax-Game-Toolkit

Project Overview

The Stress-Relief Game Collection is a pure-frontend, zero-dependency web app where all code, styles and logic live in a single HTML file. It includes about 20 mini games and relaxation tools, such as an electronic wooden fish, Sheep a Sheep, 2048, Snake, Tetris, four board games, Minesweeper, Sudoku, a sliding puzzle, bubble popping, a breathing circle and a drawing board. Download it, double-click and play in any browser, with touch support, local saves and a dark glassmorphism UI.

Twenty mini games in one HTML file, playable offline with a double-click.

Key Features

• Relax and unwind: electronic wooden fish, bubble popping, breathing circle and worry cards
• Puzzle games: 2048, digital sliding puzzle, Sudoku, card memory and number guessing
• Classic arcade: Snake, Tetris, Minesweeper and Zuma
• Board games: Gomoku, Go, Chinese chess and international chess with human vs AI and undo
• Creation tools: a free drawing board with PNG/JPEG/WebP export
• Other fun: 3D dice, tic-tac-toe, reaction speed test and Sheep a Sheep

Target Audience

• Users who want to relax between work and study
• Players who like many mini games in one page
• Anyone looking for offline, no-network entertainment

Quick Start

1. Download the latest index.html (about 315 KB)
2. Double-click to open it in any browser
3. Pick a game from the sidebar and play; progress saves automatically

Core Advantages

• Zero-dependency single file: no install, no server and no network required
• Mobile ready: touch events and virtual direction keys on phones
• Local saves: progress, high scores and settings stored in localStorage
• Synthesized sound: Web Audio generates effects in real time without audio files

System Requirements

Item	Requirement
OS	Any system with a modern browser
Runtime	Browser (Chrome / Edge / Safari etc.)
Dependencies	None (pure HTML/CSS/JS)

Notes

• Everything is embedded in one HTML file, so it is relatively large and hard to modularize
• Game AI strength is still being improved
• Built by a 13-year-old student with AI, open-sourced under MIT