system-prompts-and-models-of-ai-tools and awesome-system-prompts
These are complementary resources that serve the same purpose—curating system prompts for AI coding tools—with A offering significantly broader coverage (131+ tools across multiple categories) while B focuses on a narrower subset of established agents, making them useful together for comprehensive prompt engineering reference material rather than direct alternatives.
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
This project compiles system prompts, internal tool specifications, and underlying AI models for various commercial AI tools, including coding assistants and general-purpose AI platforms. It provides insights into how these AI systems are engineered to perform their tasks. Developers, researchers, and security professionals can use this to understand, analyze, or reverse-engineer AI tool behaviors.
About awesome-system-prompts
EliFuzz/awesome-system-prompts
A collection of system prompts and tool definitions from various AI coding agents: Augment Code, Claude Code, Cluely, Cursor, Devin AI, Kiro, Perplexity, VSCode Agent, Gemini, Codex, OpenAI
This collection provides insight into how various AI coding assistants are instructed to behave and what tools they use. It offers a look at the internal 'rules' that guide AI agents like Aider and Augment Code when they're asked to modify code or answer questions. Software developers who use AI coding assistants can use these leaked prompts to understand and potentially optimize their interactions with these tools.
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