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AI Tools System Prompts Collection

Using and understanding the x1xhlol/system-prompts-and-models-of-ai-tools repository — a curated collection of 138K+ stars of AI tool system prompts, internal tools, and AI models.

  1. Step 1

    Overview of the Collection

    The repository x1xhlol/system-prompts-and-models-of-ai-tools is a comprehensive collection of system prompts, internal tools, and AI models from 31+ AI tools and platforms. With over 138,000 stars on GitHub, it has become one of the most popular collections of AI tool insights.

    The repository contains organized directories for each AI tool, making it easy to explore the prompts and models used by tools like Cursor, Windsurf, Devin AI, Lovable, Perplexity, and many others.

  2. Step 2

    Repository Statistics

    Current stats for the collection:

    • GitHub URL: https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
    • Stars: 138,000+
    • Tools covered: 31+
    • Last updated: May 2026
    • Categories: Code editors, AI agents, design tools, terminal tools, productivity, and more
    GitHub: https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools

Stats (as of May 2026):
- Stars: 138,000+
- Tools covered: 31+
- Categories: Code editors, AI agents, design tools, terminal tools, productivity, and more
  3. Step 3

    Categories of Tools Covered

    The repository organizes AI tools into several categories. Understanding these categories helps you quickly find relevant prompts.

    ## Code Editors & IDEs
AI-powered coding environments:
- Cursor Prompts - The popular VS Code-fork with AI
- Windsurf - Codeium's AI IDE
- VSCode Agent - VS Code integrated agent
- Trae - AI coding assistant
- Xcode - Apple's IDE with AI
- Replit - Cloud-based IDE
- CodeBuddy Prompts - AI coding companion
- Augment Code - AI coding platform

## AI Coding Agents
Autonomous coding assistants:
- Devin AI - The first AI software engineer
- Kiro - AI coding agent
- Qoder - Open-source AI coder
- Same.dev - AI development agent
- Junie - AI programming assistant
- Manus Agent Tools & Prompt - Multi-agent system

## Design & Prototyping
AI for UI/UX generation:
- Lovable - AI-powered app builder
- Leap.new - AI design tool
- v0 Prompts and Tools - Vercel's AI UI generator
- dia - AI design assistant
- Orchids.app - Design automation

## Terminal & CLI Tools
AI-enhanced command-line:
- Warp.dev - Modern AI terminal
- Poke - AI CLI assistant

## Search & Research Tools
AI search engines:
- Perplexity - AI search engine
- Google - Google AI tools
- Anthropic - Claude-related prompts

## Productivity & Notes:
- NotionAi - Notion's AI features

## Open Source:
- Open Source prompts - Community-contributed prompts

## Other AI Tools:
- Amp - AI marketing tool
- Cluely - AI discovery platform
- Comet Assistant - AI assistant
- Emergent - AI tool
- Traycer AI - Code visualization
- Z.ai Code - AI coding tool
  4. Step 4

    Repository Structure

    Each tool directory contains the system prompts and internal tools for that specific AI platform. Files are typically .txt files for text-based system prompts and .json files for structured prompt configurations or tool definitions.

    # Clone the repository
git clone https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
cd system-prompts-and-models-of-ai-tools

# List all available tools
ls -la

# Explore a specific tool (e.g., Cursor)
cat "Cursor Prompts/Agent Prompt 2.0.txt"

# View tool configuration files
cat "Cursor Prompts/Agent Tools v1.0.json"
  5. Step 5

    How to Use This Collection

    The collection is useful for several purposes:

    1. Learning AI Tool Implementation - Understand how different AI tools implement their system prompts and agent behaviors.

    2. Building Custom AI Assistants - Use the prompts as inspiration or starting points for your own AI agents and coding assistants.

    3. Comparing AI Approaches - Compare how different tools structure their prompts and handle similar tasks.

    4. Security Research - Understand potential prompt injection vectors and learn better prompt engineering practices.

    5. Academic/Research Use - Study the evolution of AI tool prompting strategies across different platforms.

    # Quick exploration workflow

# 1. Clone the repository
git clone https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
cd system-prompts-and-models-of-ai-tools

# 2. List all available tools
ls -la

# 3. Find a tool you're interested in
ls "Cursor Prompts/"

# 4. Read the prompts
cat "Cursor Prompts/Agent Prompt 2.0.txt"

# 5. View tool definitions (JSON files)
jq . "Cursor Prompts/Agent Tools v1.0.json"

# 6. Search for specific content
grep -r "function calling" "Cursor Prompts/"
  6. Step 6

    Notable Tools to Explore First

    Based on popularity and comprehensive documentation, these tools are great starting points:

    Cursor Prompts - Contains multiple versions of agent prompts (v1.0, v1.2, 2.0), includes agent CLI prompts and chat prompts, has JSON tool definitions for agent capabilities.

    Devin AI - Contains prompts for the first autonomous AI coder, includes DeepWiki integration prompts.

    Windsurf - Deep AI IDE integration examples with flow and context management prompts.

    Replit - Collaborative AI programming prompts and Ghostwriter integration examples.

    Lovable / v0 - AI-powered UI/UX generation prompts with design system integration examples.

    # Recommended exploration path

# Start with Cursor (most popular)
cd "Cursor Prompts"
ls -la
echo "=== Agent Prompt v1.0 ==="
head -100 "Agent Prompt v1.0.txt"

# Compare version differences
echo "=== Comparing prompts ==="
diff <(head -50 "Agent Prompt v1.0.txt") <(head -50 "Agent Prompt 2.0.txt")

# Check Devin AI (first AI engineer)
cd ../"Devin AI"
cat "Prompt.txt"

# Explore Lovable (UI generation)
cd ../Lovable
ls -la
  7. Step 7

    Security & Ethical Considerations

    When using this collection, keep the following in mind:

    Prompt Injection Awareness: These prompts reveal how AI tools handle user input. Study them to understand vulnerabilities.

    Commercial Use: These prompts may be subject to the original tool's terms of service. Verify licensing before commercial use.

    Model Security: The repository mentions ZeroLeaks security service - exposed prompts can become targets.

    Attribution Required: The repository author requests credit and support via Patreon/Ko-fi/Crypto.

    Terms of Service: Using extracted prompts may violate some tools' ToS. Check each tool's terms.

    Legal Disclaimer: This collection is for educational and research purposes. Respect each tool's terms of service and licensing requirements.

    Security Notice from Repository:

> **Warning**: If you're an AI startup, make sure your data is secure.
> Exposed prompts or AI models can easily become a target for hackers.
>
> **Important**: Interested in securing your AI systems?
> Check out **ZeroLeaks**, a service designed to help startups
> identify and secure prompt injection and system prompt extraction risks.

Support Options (optional):
- Bitcoin: bc1q7zldmzjwspnaa48udvelwe6k3fef7xrrhg5625
- Litecoin: LRWgqwEYDwqau1WeiTs6Mjg85NJ7m3fsdQ
- Ethereum: 0x3f844B2cc3c4b7242964373fB0A41C4fdffB192A
- Patreon: https://patreon.com/lucknite
- Ko-fi: https://ko-fi.com/lucknite

Contact:
- Twitter/X: @NotLucknite
- Discord: x1xhlol
- Email: lucasvalbuena@pm.me
  8. Step 8

    Contributing & Reporting Issues

    The repository welcomes feedback and issues. The maintainer encourages opening issues for missing tools or prompts, outdated information, suggestions for improvements, and bug reports.

    # Stay updated with the collection

# Watch the repository for updates
git clone https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
git remote -v

# Check for updates periodically
git fetch origin
git log origin/main --oneline -20

# Report issues or suggest improvements
# Visit: https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools/issues

# Join the community
# Discord: https://discord.gg/NwzrWErdMU (LeaksLab Discord)
  9. Step 9

    Related Resources

    For extended learning and complementary resources, check out DeepWiki for AI-powered repo documentation and Trendshift for repository trending metrics.

    Support the project by starring the repository, following the author on Twitter/X, and joining the LeaksLab Discord community.

    Links:

Repository: https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
DeepWiki: https://deepwiki.com/x1xhlol/system-prompts-and-models-of-ai-tools
Trendshift: https://trendshift.io/repositories/14084

Social:
- Twitter/X: https://x.com/NotLucknite
- Discord: https://discord.gg/NwzrWErdMU
- Email: lucasvalbuena@pm.me

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