77 lines
1.8 KiB
Markdown
77 lines
1.8 KiB
Markdown
---
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description: Initial Warpio configuration and setup
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allowed-tools: Write, Read, Bash
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---
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# Warpio Initial Setup
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## Welcome to Warpio!
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I'll help you configure Warpio for optimal scientific computing performance.
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### Current Configuration Status
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**System Check:**
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- ✅ Git detected
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- ✅ Claude CLI detected
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- ✅ UV package manager detected
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- ✅ Python environment ready
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- ✅ MCP servers configured
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**Warpio Components:**
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- ✅ Expert agents installed
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- ✅ Scientific MCPs configured
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- ✅ Local AI integration ready
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- ✅ Status line configured
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### Essential Configuration
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#### 1. Environment Variables (.env file)
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I'll create a basic `.env` configuration:
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```bash
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# Local AI Configuration
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LOCAL_AI_PROVIDER=lmstudio
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LMSTUDIO_API_URL=http://192.168.86.20:1234/v1
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LMSTUDIO_MODEL=qwen3-4b-instruct-2507
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LMSTUDIO_API_KEY=lm-studio
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# Data Directories
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DATA_INPUT_DIR=./data/input
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DATA_OUTPUT_DIR=./data/output
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# HPC Configuration (if applicable)
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SLURM_CLUSTER=your-cluster-name
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SLURM_PARTITION=your-partition
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```
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#### 2. Directory Structure
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Creating recommended directory structure:
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```
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project/
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├── data/
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│ ├── input/ # Raw data files
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│ └── output/ # Processed results
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├── scripts/ # Analysis scripts
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├── notebooks/ # Jupyter notebooks
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└── docs/ # Documentation
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```
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### Quick Start Guide
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1. **Test Local AI:** `/warpio-local-test`
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2. **Check Experts:** `/warpio-expert-list`
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3. **View Status:** `/warpio-expert-status`
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4. **Get Help:** `/warpio-help`
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### Next Steps
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After setup, you can:
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- Delegate tasks to experts with `/warpio-expert-delegate`
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- Use local AI for quick tasks
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- Access 16 scientific MCPs for data operations
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- Submit HPC jobs through the HPC expert
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Would you like me to proceed with creating the basic configuration? |