system-prompts-and-models-of-ai-tools and prompts
About system-prompts-and-models-of-ai-tools
x1xhlol/system-prompts-and-models-of-ai-tools
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
Based on the README, here's a technical summary: Curated repository of extracted system prompts, internal architectures, and model configurations from 30+ AI coding assistants and development tools. Serves as a reverse-engineering resource for understanding prompt injection vulnerabilities and agent design patterns across commercial and open-source platforms. Includes security documentation highlighting prompt extraction risks, with integration guidance for researchers auditing AI system robustness.
About prompts
matlab/prompts
Curated collection of AI prompts for MATLAB development - enhance your workflow with MATLAB Copilot, GitHub Copilot, Claude, Cursor, and other AI coding assistants. Includes prompts for Live Scripts, signal processing, machine learning, control systems, and more.
Organized into 11 domain-specific categories (Live Scripts, signal processing, control systems, hardware connectivity, etc.), the prompts are designed as copy-paste templates with customizable placeholders that users fill in with specific requirements, toolbox dependencies, and example I/O. The collection targets multiple AI assistants through platform-agnostic prompt engineering, allowing seamless integration whether users deploy MATLAB Copilot, GitHub Copilot, Claude, or Cursor for code generation across desktop apps, web applications, and embedded code generation workflows.
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