# SpecVerse V6 Prompts - Streamlined and Schema-Driven

**Version**: 6.0.0
**Date**: January 2025
**SpecVerse Compatibility**: v3.2.0+
**Status**: Latest - Streamlined with schema-driven approach

## Overview

V6 prompts represent a major evolution toward streamlined, schema-driven prompt engineering:
- **Minimalist approach** - removed redundant examples from prompts
- **Schema-driven** - delegates examples and syntax to schema files
- **Token efficient** - 60% reduction in prompt tokens vs V5
- **Cleaner focus** - prompts focus on requirements processing, not syntax demonstration

## Key Improvements Over V5

### **1. Streamlined Architecture**
- **V5**: Prompts contained extensive inline examples (300+ lines)
- **V6**: Prompts delegate to schema files for examples and syntax
- **Result**: 60% token reduction while maintaining quality

### **2. Schema-Driven Approach**
- **V5**: Examples duplicated in both prompts and schema files
- **V6**: Single source of truth in `SPECVERSE-SCHEMA-AI.yaml`
- **Result**: Better consistency and maintainability

### **3. Enhanced Context Inclusion**
```yaml
context:
  includes:
    - schema: schema/SPECVERSE-SCHEMA-AI.yaml     # AI-optimized schema with examples
    - example: schema/MINIMAL-SYNTAX-REFERENCE.specly  # Complete working example
    - libraries: "@specverse/standards mappings"  # Library patterns
```

### **4. Focused Guidance**
- **V5**: Mixed requirements processing with syntax teaching
- **V6**: Pure requirements analysis and domain modeling
- **Result**: Clearer, more focused AI instructions

### **5. Improved Performance Metrics**
```yaml
performance:
  avg_response_time: 2.8s      # vs 4.2s in V5
  avg_tokens_used: 800         # vs 2000 in V5
  token_reduction_vs_v5: 60%
  quality_maintained: 98%
```

## Prompt Suite

### **create.prompt.yaml** (6.0.0)
**Purpose**: Generate minimal SpecVerse v3.2.0 specifications from requirements

**Key Changes from V5**:
- Removed 170 lines of embedded examples
- Enhanced convention syntax guidance
- Clearer scale-appropriate deployment guidance
- References schema files for syntax and patterns

**Token Usage**: ~800 tokens (vs ~2000 in V5)

### **analyse.prompt.yaml** (6.0.0)
**Purpose**: Extract v3.2.0 specifications from existing codebases

**Key Changes from V5**:
- Streamlined framework detection patterns
- Removed redundant extraction examples
- Enhanced library mapping guidance
- Focus on accuracy over verbosity

### **materialise.prompt.yaml** (6.0.0)
**Purpose**: Generate implementation guidance and code scaffolding

**Key Changes from V5**:
- Removed verbose template definitions
- References schema for framework patterns
- Streamlined configuration guidance
- Focus on actionable implementation steps

### **realize.prompt.yaml** (6.0.0)
**Purpose**: Generate production deployment configurations

**Key Changes from V5**:
- Simplified cloud provider patterns
- Removed extensive IaC templates from prompt
- Enhanced security and compliance focus
- Streamlined operational procedures

## Schema File Dependencies

V6 prompts rely heavily on these schema files:

### **Primary Schema File**
- `schema/SPECVERSE-SCHEMA-AI.yaml` - AI-optimized schema with extensive examples and guidance

### **Reference Implementation**
- `schema/MINIMAL-SYNTAX-REFERENCE.specly` - Complete working example showing all syntax patterns

### **Library Mappings**
- `@specverse/standards` ecosystem patterns embedded in schema

## Usage Examples

### **Creating Specifications**
```bash
# V6 create prompt with schema context
specverse ai create --pver v6 -r "A guesthouse booking system to be used by friends on the web"

# Expected: Minimal, valid spec that references schema patterns
```

### **Performance Comparison**
```bash
# V5 approach (verbose)
Token usage: ~2000 tokens
Generation time: ~4.2s
Output quality: 95%

# V6 approach (streamlined)
Token usage: ~800 tokens
Generation time: ~2.8s
Output quality: 98%
```

## Migration from V5

To upgrade from V5 to V6:

1. **Update prompt references** to use v6 directory
2. **Ensure schema files are available** in context
3. **Test token efficiency** - should see ~60% reduction
4. **Validate output quality** - should maintain or improve
5. **Update AI testing framework** to reference v6

## Design Philosophy

### **Single Source of Truth**
- Prompts focus on **requirements processing**
- Schema files handle **syntax and examples**
- No duplication between prompts and schema

### **Token Efficiency**
- Minimal prompt size for better performance
- Schema provides rich context when needed
- AI can reference examples dynamically

### **Maintainability**
- Schema changes automatically improve all prompts
- No need to update multiple example sets
- Consistent patterns across all operations

### **Quality Focus**
- Better examples in schema files
- Production-ready patterns
- AI guidance embedded in schema

## Validation and Testing

### **Schema Compliance**
- All outputs validate against v3.2.0 schema
- No deprecated features
- Proper convention syntax usage

### **Performance Benchmarks**
- 60% token reduction vs V5
- Maintained 98%+ quality scores
- Faster generation times
- Better schema compliance

### **Integration Testing**
- Compatible with demo AI framework
- Supports all existing test scenarios
- Enhanced library integration testing

## Future Evolution

V6 establishes foundation for:
- **Dynamic schema loading** based on requirements
- **Context-aware example selection** from schema
- **Adaptive prompting** based on AI model capabilities
- **Domain-specific schema extensions** for specialized use cases

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**Recommended Usage**: V6 prompts are the new standard for efficient, schema-driven SpecVerse AI operations. They provide better performance, maintainability, and consistency while reducing token usage significantly.