What is Awesome AI System Prompts — 32+ Tool Prompts Revealed?

Curated collection of extracted system prompts from 32+ production AI tools including ChatGPT, Claude, Cursor, v0, Manus, Devin, Windsurf, and Perplexity. MIT license, 5,700+ stars.

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Awesome AI System Prompts — 32+ Tool Prompts Revealed

Awesome AI System Prompts is a curated collection of system prompts extracted from 32+ production AI tools, with 5,700+ GitHub stars and MIT license. It includes the actual system prompts powering ChatGPT (GPT-4o, GPT-4.5), Claude (Opus, Sonnet, Claude Code), Cursor, Windsurf, v0, same.new, Manus, Devin, Perplexity, Grok, Notion AI, and 20+ more. Beyond just collecting prompts, the README analyzes architectural patterns — how the best AI tools define roles, structure instructions, integrate tools, handle safety, and maintain consistency.

Best for: AI agent builders who want to learn from how production AI tools are actually architected. Works with: any LLM — study the patterns and apply to your own agents. Updated: regularly as new tools and versions are released.

Awesome AI System Prompts — Tools Covered

Code & UI Generation

Vercel v0 — AI UI component generator
same.new — Clone any website with AI
Bolt.new — AI full-stack app builder
Loveable — AI app builder

General Purpose Agents

ChatGPT (GPT-4o, GPT-4.5) — OpenAI's flagship
Claude (Opus 4.6, Sonnet 4.6) — Anthropic's models
Grok (4.2, 4) — xAI's assistant
MetaAI / Llama — Meta's assistant
Manus — General AI agent

Coding Assistants

Claude Code — Anthropic's CLI agent
Cursor — AI code editor
Windsurf — Codeium's IDE
Augment — Enterprise coding AI
Cline — VS Code agent
Devin — Autonomous software engineer

Specialized Tools

Perplexity — AI search engine
Notion AI — Workspace assistant
Replit — Online coding platform
Blackbox.ai — Code search
Google Jules — Google's coding agent

Architectural Patterns Analyzed

The README identifies 8 core principles shared across top AI tools:

Clear Role Definition — Every tool starts with explicit identity
Structured Instructions — Organized, hierarchical rules
Tool Integration — How tools expose and manage capabilities
Step-by-Step Reasoning — Enforced thinking patterns
Environment Awareness — Context about platform, user, time
Domain Expertise — Specialized knowledge injection
Safety Protocols — Content filtering, refusal patterns
Interaction Consistency — Tone, format, behavior standards

FAQ

Q: What is Awesome AI System Prompts? A: A collection of extracted system prompts from 32+ production AI tools (ChatGPT, Claude, Cursor, Devin, etc.) with analysis of architectural patterns.

Q: Is it free? A: Yes, MIT license.

Q: How are prompts extracted? A: Through various methods including prompt injection, source code analysis, and community contributions.