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Claude-code-system-prompts

by Piebald-AI

Claude Code System Prompts Reference Library

Complete collection of Claude Code's internal prompts, tools, and agent configurations for understanding AI-powered development workflows.

3,448 Stars
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About This Project

This repository serves as a comprehensive reference library that documents the internal architecture of Claude Code, providing developers with unprecedented visibility into how AI-powered coding assistants actually work. It includes all system prompts, tool descriptions, and sub-agent configurations that power Claude Code's intelligent development capabilities.

The collection covers 18 built-in tool descriptions ranging from file operations to web fetching, along with specialized sub-agent prompts for planning, exploration, and task execution. Additional utility prompts reveal how Claude Code handles documentation generation, security reviews, and command-line interactions, offering insights into production-grade AI system design.

Maintained and updated with each Claude Code version release, this resource enables developers to understand prompt engineering at scale, reverse-engineer AI assistant behaviors, and design their own AI-powered development tools. Whether you're building custom AI agents or optimizing your interactions with existing ones, these prompts provide a blueprint for effective human-AI collaboration in software development.

The repository's popularity with over 3,400 stars demonstrates its value to the developer community seeking to understand and leverage advanced AI coding assistants beyond surface-level interactions.

Key Features

  • Complete system prompt documentation for Claude Code across all versions
  • 18 built-in tool descriptions showing AI-to-tool integration patterns
  • Sub-agent prompt templates for Plan, Explore, and Task execution modes
  • Utility prompts including security review and documentation generation
  • Version-tracked updates matching official Claude Code releases

How You Can Use It

1

Learning prompt engineering techniques for AI coding assistants

2

Building custom AI development agents with similar capabilities

3

Understanding how to structure multi-agent systems for software tasks

4

Optimizing interactions with Claude Code by knowing its internal logic

5

Researching AI safety and security review implementations in development tools

Who Is This For?

AI engineers, prompt engineers, tool developers, and software architects interested in AI-assisted development systems