Claude Code Prompt Architecture Reverse-Engineered for Local Models

A GitHub repository contains a complete, legally clean reimplementation of Claude Code's prompting architecture, designed for developers building coding agents on local models.

Key Details

The repository documents the full prompting architecture that Claude Code uses, originally sourced from a brief public npm release. The author studied every prompt and used Claude itself to help rewrite the entire collection from scratch. The result is 26 prompts total covering:

• System prompt structure that actually controls behavior (not just "you are a helpful assistant")
• Tool prompts that prevent the model from using shell when a dedicated tool exists
• Safety rules that gate destructive actions without being overly restrictive
• Memory compression for long sessions (critical for smaller context windows)
• Verification patterns that catch when the model is rationalizing instead of testing

The prompts are organized into categories: system, tools, agents, memory, coordination, and utilities. The prompt patterns are model-agnostic and can be adapted for any model that supports tool use.

Legal Status

Every prompt is independently authored with different wording. The author verified no verbatim copying via automated checks. The repository includes a full legal disclaimer covering nominative fair use, non-affiliation with Anthropic, and a DMCA response policy. This is described as a clean-room style reimplementation, not a copy.

The project is MIT licensed and available at https://github.com/swati510/claude-code-prompts.

This architecture is particularly useful for building agentic workflows with Ollama, llama.cpp, or vLLM.