auto-claude-setup

from adaptationio/skrillz

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1 stars0 forksUpdated Jan 16, 2026
npx skills add https://github.com/adaptationio/skrillz --skill auto-claude-setup

SKILL.md

Auto-Claude Setup

Complete installation and environment setup for the Auto-Claude autonomous coding framework.

Quick Start

Prerequisites

RequirementVersionNotes
Python3.12+Required for backend and Memory Layer
Node.js24+Required for frontend
npm10+Package manager
GitLatestVersion control
Claude Pro/MaxActiveSubscription required
Claude Code CLILatestnpm install -g @anthropic-ai/claude-code

Installation Methods

Method 1: Pre-built Release (Recommended)

Download from GitHub Releases:

PlatformDownload
WindowsAuto-Claude-2.7.2.exe
macOS (Apple Silicon)Auto-Claude-2.7.2-arm64.dmg
macOS (Intel)Auto-Claude-2.7.2-x64.dmg
Linux (Universal)Auto-Claude-2.7.2.AppImage
Linux (Debian)Auto-Claude-2.7.2.deb

Method 2: From Source (Development)

# Clone repository
git clone https://github.com/AndyMik90/Auto-Claude.git
cd Auto-Claude

# Install all dependencies
npm run install:all

# Run in development mode
npm run dev

# Or build and run
npm start

Platform-Specific Setup

WSL2 (Windows Subsystem for Linux)

# 1. Ensure WSL2 is updated
wsl --update

# 2. Install Python 3.12
sudo apt update && sudo apt install -y python3.12 python3.12-venv python3.12-dev

# 3. Install Node.js 24+ via nvm
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.0/install.sh | bash
source ~/.bashrc
nvm install 24
nvm use 24

# 4. Clone and setup
git clone https://github.com/AndyMik90/Auto-Claude.git
cd Auto-Claude
npm run install:all

# 5. Setup OAuth token
claude setup-token

Windows (Native)

# 1. Install Python 3.12
winget install Python.Python.3.12

# 2. Install Node.js 24
winget install OpenJS.NodeJS.LTS

# 3. Install Claude Code CLI
npm install -g @anthropic-ai/claude-code

# 4. Clone and setup
git clone https://github.com/AndyMik90/Auto-Claude.git
cd Auto-Claude
npm run install:all

Linux (Ubuntu/Debian)

# 1. Install Python 3.12
sudo apt update
sudo apt install -y python3.12 python3.12-venv python3.12-dev

# 2. Install Node.js 24 via NodeSource
curl -fsSL https://deb.nodesource.com/setup_24.x | sudo -E bash -
sudo apt install -y nodejs

# 3. Install Claude Code CLI
sudo npm install -g @anthropic-ai/claude-code

# 4. Clone and setup
git clone https://github.com/AndyMik90/Auto-Claude.git
cd Auto-Claude
npm run install:all

macOS

# 1. Install Homebrew (if not installed)
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

# 2. Install Python 3.12 and Node.js
brew install python@3.12 node@24

# 3. Install Claude Code CLI
npm install -g @anthropic-ai/claude-code

# 4. Clone and setup
git clone https://github.com/AndyMik90/Auto-Claude.git
cd Auto-Claude
npm run install:all

Authentication Setup

OAuth Token Configuration

# Generate OAuth token (opens browser for authentication)
claude setup-token

# Token is saved to:
# - macOS: Keychain
# - Windows: Credential Manager
# - Linux: ~/.config/claude/credentials

Environment Configuration

Create apps/backend/.env from the example:

cd apps/backend
cp .env.example .env

Required Configuration:

# OAuth token (if not using keychain)
CLAUDE_CODE_OAUTH_TOKEN=your-oauth-token-here

Optional Configuration:

# Model override (default: claude-opus-4-5-20251101)
AUTO_BUILD_MODEL=claude-opus-4-5-20251101

# Default git branch
DEFAULT_BRANCH=main

# Debug mode
DEBUG=true
DEBUG_LEVEL=2

# Linear integration
LINEAR_API_KEY=lin_api_xxxxx

# Memory system (Graphiti)
GRAPHITI_ENABLED=true
GRAPHITI_LLM_PROVIDER=openai
OPENAI_API_KEY=sk-xxxxx

Verification

Test Installation

# Check Python version
python3 --version  # Should be 3.12+

# Check Node.js version
node --version  # Should be 24+

# Check Claude Code CLI
claude --version

# Test backend
cd apps/backend
source .venv/bin/activate  # or .venv\Scripts\activate on Windows
python run.py --help

# Test frontend
cd apps/frontend
npm run dev

Run First Task

cd apps/backend
source .venv/bin/activate

# Create a spec interactively
python spec_runner.py --interactive

# Or with a task description
python spec_runner.py --task "Add a hello world endpoint"

Project Structure

Auto-Claude/
├── apps/
│   ├── backend/           # Python CLI and agents
│   │   ├── agents/        # Agent implementations
│   │   ├── core/          # Client, auth, security
│   │   ├── prompts/       # Agent system prompts
│   │   ├── spec/          # Spec creation pipeline
│   │   ├── .env           # Your configuration
│   │   └── run.py         # Main entry point
│   └── frontend/          # Electron desktop UI
├── guides/                # Documentation
├── tests/                 # Test s

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