gh-akougkas-claude-code-4-science-warpio/commands/warpio-config-setup.md

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Initial Warpio configuration and setup	Write, Read, Bash

Warpio Initial Setup

Welcome to Warpio!

I'll help you configure Warpio for optimal scientific computing performance.

Current Configuration Status

System Check:

• ✅ Git detected
• ✅ Claude CLI detected
• ✅ UV package manager detected
• ✅ Python environment ready
• ✅ MCP servers configured

Warpio Components:

• ✅ Expert agents installed
• ✅ Scientific MCPs configured
• ✅ Local AI integration ready
• ✅ Status line configured

Essential Configuration

1. Environment Variables (.env file)

I'll create a basic .env configuration:

# Local AI Configuration
LOCAL_AI_PROVIDER=lmstudio
LMSTUDIO_API_URL=http://192.168.86.20:1234/v1
LMSTUDIO_MODEL=qwen3-4b-instruct-2507
LMSTUDIO_API_KEY=lm-studio

# Data Directories
DATA_INPUT_DIR=./data/input
DATA_OUTPUT_DIR=./data/output

# HPC Configuration (if applicable)
SLURM_CLUSTER=your-cluster-name
SLURM_PARTITION=your-partition

2. Directory Structure

Creating recommended directory structure:

project/
├── data/
│   ├── input/     # Raw data files
│   └── output/    # Processed results
├── scripts/       # Analysis scripts
├── notebooks/     # Jupyter notebooks
└── docs/         # Documentation

Quick Start Guide

1. Test Local AI: /warpio-local-test
2. Check Experts: /warpio-expert-list
3. View Status: /warpio-expert-status
4. Get Help: /warpio-help

Next Steps

After setup, you can:

• Delegate tasks to experts with /warpio-expert-delegate
• Use local AI for quick tasks
• Access 16 scientific MCPs for data operations
• Submit HPC jobs through the HPC expert

Would you like me to proceed with creating the basic configuration?