Claude Code Prompt Architecture Reverse-Engineered for Local Models

✍️ OpenClawRadar📅 Published: April 2, 2026🔗 Source
Claude Code Prompt Architecture Reverse-Engineered for Local Models
Ad

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.

Ad

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.

📖 Read the full source: r/LocalLLaMA

Ad

👀 See Also

Constrails: Early-Alpha External Governance Layer for AI Agents
Tools

Constrails: Early-Alpha External Governance Layer for AI Agents

Constrails is an external runtime governance layer for AI agents that places a control layer between agents and their tools, implementing capability checks, risk scoring, policy evaluation, and audit logging. The early-alpha project aims to address safety concerns by moving controls outside the agent itself.

OpenClawRadar
Open Design: Open-Source Alternative to Claude Design Runs on Your Local CLI Agents
Tools

Open Design: Open-Source Alternative to Claude Design Runs on Your Local CLI Agents

Open Design is a local-first, BYOK design engine that turns 11 coding-agent CLIs (Claude Code, Codex, Cursor, Gemini CLI, etc.) into a design workflow with 72 brand-grade design systems and 31 composable skills, exporting HTML/PDF/PPTX/MP4.

OpenClawRadar
ETL-D MCP Server: Deterministic CSV Parsing for Claude to Prevent Financial Hallucinations
Tools

ETL-D MCP Server: Deterministic CSV Parsing for Claude to Prevent Financial Hallucinations

A developer built ETL-D, an open-source MCP server for Claude Desktop that processes CSVs in three deterministic layers to prevent decimal point hallucinations in financial data. It uses Python parsers for known formats, achieves ~70ms response times with 0 LLM calls for 200 parallel requests, and only uses LLMs as a fallback for high-entropy text.

OpenClawRadar
Gullivr Travel App Integrates with Claude via Remote MCP Server
Tools

Gullivr Travel App Integrates with Claude via Remote MCP Server

A developer built Gullivr, a travel planning app with a remote MCP server that allows Claude to create and manage trips directly within the app. The integration enables real-time updates while chatting with Claude, eliminating manual copying between tools.

OpenClawRadar