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- Create templates/ for reusable prompt templates - Create examples/ for test context inputs - Create responses/ for multi-model output comparison - Move Professional Communication Assistant to templates/ - Rename Task Context to deadline-extension-request example - Add comprehensive README with usage guidelines 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
68 lines
2.2 KiB
Markdown
68 lines
2.2 KiB
Markdown
# Prompts
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This directory contains LLM prompt templates and example contexts for workflow automation in the Ollama K80 Lab environment.
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## Structure
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```
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prompts/
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├── templates/ # Reusable prompt templates
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│ └── professional-communication-assistant.md
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├── examples/ # Context examples for testing prompts
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│ └── deadline-extension-request.md
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└── responses/ # Model responses organized by example
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└── deadline-extension-request/
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├── qwen2.5-vl.md
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├── gemma-3-12b.md
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├── phi4-14b.md
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└── deepseek-r1-32b.md
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```
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## Usage
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### Templates
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Prompt templates are structured prompts designed for specific use cases. They include:
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- Clear instructions and guidelines
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- Configurable parameters (marked with placeholders)
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- Multiple tone/style variations where applicable
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### Examples
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Example contexts provide sample inputs to test and demonstrate prompt templates:
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- Real-world scenarios
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- Edge cases
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- Different complexity levels
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### Responses
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Model responses are organized by example scenario, with each model's output saved separately:
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- Compare different models on the same prompt/context
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- Track model performance over time
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- Analyze response quality and consistency
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- Use kebab-case filenames matching model names
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## Integration
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These prompts integrate with:
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- **Dify workflows** - For automated LLM-powered QA tasks
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- **VS Code Continue plugin** - For development assistance
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- **Ollama API** - Running on K80-optimized containers
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## Adding New Prompts
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1. Create template in `templates/` with descriptive kebab-case naming
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2. Add corresponding examples in `examples/`
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3. Test with your target LLM models
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4. Save model responses in `responses/example-name/model-name.md`
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5. Update this README if needed
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## Testing Workflow
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1. Use template + example to generate prompts
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2. Run against multiple models (Qwen2.5-VL, Gemma 3, Phi-4, DeepSeek-R1, etc.)
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3. Save each model's response in the appropriate response folder
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4. Compare outputs for quality, consistency, and usefulness
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## Related Components
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- `/dify/` - Workflow automation configurations
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- `/ollama37/` - Docker runtime for LLM execution
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- `CLAUDE.md` - Project development guidelines |