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Prompt Vault

Welcome to the Prompt Vault! This repository is a curated collection of structured coding prompts and challenges designed for testing Large Language Models (LLMs) or for developers looking for project ideas. Each prompt provides detailed requirements, design constraints, and technical specifications to build standalone web applications.

Tasks and Challenges

The following table summarizes the coding tasks available in this repository:

File Name Description Difficulty
Bubble_Sort_Visualizer.md Focused Bubble Sort visualizer explaining basic movement and color states. 🟢 Easy
ToDo_List.md Multi-step tutorial for building a persistent task manager from scratch. 🟢 Easy
Color Palette Generator Random 5-color palette generator. 🟢 Easy
Sorting_Visualizer.md Real-time visualization of 6 sorting algorithms with stats and smooth animations. 🟡 Medium
Pixel Art Editor Canvas pixel-art editor with pencil/fill/eyedropper tools. 🟡 Medium
Kanban_Board.md Full-featured Kanban board with native Drag & Drop, filtering, and persistence. 🔴 Hard
Markdown_Editor_Desktop.md Desktop Markdown editor built with Tauri 2, featuring native file system access. 🔴 Hard
Local_OCR.md Privacy-focused Python desktop OCR app for converting images and PDFs to Markdown with local Ollama vision models. 🔴 Hard
LLM_Speedometer.md Local LLM performance benchmarking tool using Tauri and Vue.js with real-time charting. 🟣 Advanced
Feed_Aggregator.md Full-stack Nim RSS aggregator with a background crawler and web interface. 🟣 Advanced
Hantavirus_Simulation.md Interactive 2D hantavirus simulation in Rust & Bevy 0.18 with environmental infection model, configurable population, real-time SIR stats, day/night cycle, and save/load support. 🟣 Advanced
File_Listing.md Desktop file-listing tool built with Tauri 2, Vue 3 & Rust — recursive folder scanning, on-demand md5/sha256 hashing, filtering, an editable data grid, and CSV export. 🟣 Advanced

How to Use

Each task is defined in its own Markdown file. You can:

  1. Provide the content of a file as a prompt to an AI coding assistant.
  2. Use the requirements as a specification for your own practice projects.
  3. Test how different models handle complex UI/UX and logic requirements.

All projects are designed to be self-contained in a single index.html file unless otherwise specified.

About

A collection of coding prompts and detailed project specifications designed for benchmarking and testing LLMs.

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