ollama-k80-lab/prompts

Prompts

This directory contains LLM prompt templates and example contexts for workflow automation in the Ollama K80 Lab environment.

Structure

prompts/
├── templates/          # Reusable prompt templates
│   └── professional-communication-assistant.md
├── examples/           # Context examples for testing prompts
│   └── deadline-extension-request.md
└── responses/          # Model responses organized by example
    └── deadline-extension-request/
        ├── qwen2.5-vl.md
        ├── gemma-3-12b.md
        ├── phi4-14b.md
        └── deepseek-r1-32b.md

Usage

Templates

Prompt templates are structured prompts designed for specific use cases. They include:

• Clear instructions and guidelines
• Configurable parameters (marked with placeholders)
• Multiple tone/style variations where applicable

Examples

Example contexts provide sample inputs to test and demonstrate prompt templates:

• Real-world scenarios
• Edge cases
• Different complexity levels

Responses

Model responses are organized by example scenario, with each model's output saved separately:

• Compare different models on the same prompt/context
• Track model performance over time
• Analyze response quality and consistency
• Use kebab-case filenames matching model names

Integration

These prompts integrate with:

• Dify workflows - For automated LLM-powered QA tasks
• VS Code Continue plugin - For development assistance
• Ollama API - Running on K80-optimized containers

Adding New Prompts

1. Create template in templates/ with descriptive kebab-case naming
2. Add corresponding examples in examples/
3. Test with your target LLM models
4. Save model responses in responses/example-name/model-name.md
5. Update this README if needed

Testing Workflow

1. Use template + example to generate prompts
2. Run against multiple models (Qwen2.5-VL, Gemma 3, Phi-4, DeepSeek-R1, etc.)
3. Save each model's response in the appropriate response folder
4. Compare outputs for quality, consistency, and usefulness

Related Components

• /dify/ - Workflow automation configurations
• /ollama37/ - Docker runtime for LLM execution
• CLAUDE.md - Project development guidelines