PromptsApr 6, 2026·3 min read

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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Prompt Lab · Community
Quick Use

Use it first, then decide how deep to go

This block should tell both the user and the agent what to copy, install, and apply first.

  1. Browse by tool: github.com/dontriskit/awesome-ai-system-prompts
  2. Each tool has its own directory with the full extracted system prompt
  3. Study the patterns: role definition, tool integration, safety protocols
  4. Apply architectural patterns to your own AI agents
Intro

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:

  1. Clear Role Definition — Every tool starts with explicit identity
  2. Structured Instructions — Organized, hierarchical rules
  3. Tool Integration — How tools expose and manage capabilities
  4. Step-by-Step Reasoning — Enforced thinking patterns
  5. Environment Awareness — Context about platform, user, time
  6. Domain Expertise — Specialized knowledge injection
  7. Safety Protocols — Content filtering, refusal patterns
  8. 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.

🙏

Source & Thanks

Maintained by dontriskit. Licensed under MIT.

awesome-ai-system-prompts — ⭐ 5,700+

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