# Task ID: 84
# Title: Enhance Parse-PRD with Intelligent Task Expansion and Detail Preservation
# Status: pending
# Dependencies: None
# Priority: high
# Description: Transform parse-prd from a simple task generator into an intelligent system that preserves PRD detail resolution through context-aware task expansion. This addresses the critical issue where highly detailed PRDs lose their specificity when parsed into too few top-level tasks, and ensures that task expansions are grounded in actual PRD content rather than generic AI assumptions.
# Details:
## Core Problem Statement

The current parse-prd implementation suffers from a fundamental resolution loss problem:

1. **Detail Compression**: Complex, detailed PRDs get compressed into a fixed number of top-level tasks (default 10), losing critical specificity
2. **Orphaned Expansions**: When tasks are later expanded via expand-task, the AI lacks the original PRD context, resulting in generic subtasks that don't reflect the PRD's specific requirements
3. **Binary Approach**: The system either creates too few high-level tasks OR requires manual expansion that loses PRD context

## Solution Architecture

### Phase 1: Enhanced PRD Analysis Engine
- Implement intelligent PRD segmentation that identifies natural task boundaries based on content structure
- Create a PRD context preservation system that maintains detailed mappings between PRD sections and generated tasks
- Develop adaptive task count determination based on PRD complexity metrics (length, technical depth, feature count)

### Phase 2: Context-Aware Task Generation
- Modify generateTasksFromPRD to create tasks with embedded PRD context references
- Implement a PRD section mapping system that links each task to its source PRD content
- Add metadata fields to tasks that preserve original PRD language and specifications

### Phase 3: Intelligent In-Flight Expansion
- Add optional `--expand-tasks` flag to parse-prd that triggers immediate expansion after initial task generation
- Implement context-aware expansion that uses the original PRD content for each task's expansion
- Create a two-pass system: first pass generates tasks with PRD context, second pass expands using that context

### Phase 4: PRD-Grounded Expansion Logic
- Enhance the expansion prompt generation to include relevant PRD excerpts for each task being expanded
- Implement smart context windowing that includes related PRD sections when expanding tasks
- Add validation to ensure expanded subtasks maintain fidelity to original PRD specifications

## Technical Implementation Details

### File Modifications Required:
1. **scripts/modules/task-manager/parse-prd.js**
   - Add PRD analysis functions for intelligent segmentation
   - Implement context preservation during task generation
   - Add optional expansion pipeline integration
   - Create PRD-to-task mapping system

2. **scripts/modules/task-manager/expand-task.js**
   - Enhance to accept PRD context as additional input
   - Modify expansion prompts to include relevant PRD excerpts
   - Add PRD-grounded validation for generated subtasks

3. **scripts/modules/ai-services-unified.js**
   - Add support for context-aware prompting with PRD excerpts
   - Implement intelligent context windowing for large PRDs
   - Add PRD analysis capabilities for complexity assessment

### New Data Structures:
```javascript
// Enhanced task structure with PRD context
{
  id: "1",
  title: "User Authentication System",
  description: "...",
  prdContext: {
    sourceSection: "Authentication Requirements (Lines 45-78)",
    originalText: "The system must implement OAuth 2.0...",
    relatedSections: ["Security Requirements", "User Management"],
    contextWindow: "Full PRD excerpt relevant to this task"
  },
  // ... existing fields
}

// PRD analysis metadata
{
  prdAnalysis: {
    totalComplexity: 8.5,
    naturalTaskBoundaries: [...],
    recommendedTaskCount: 15,
    sectionMappings: {...}
  }
}
```

### New CLI Options:
- `--expand-tasks`: Automatically expand generated tasks using PRD context
- `--preserve-detail`: Maximum detail preservation mode
- `--adaptive-count`: Let AI determine optimal task count based on PRD complexity
- `--context-window-size`: Control how much PRD context to include in expansions

## Implementation Strategy

### Step 1: PRD Analysis Enhancement
- Create PRD parsing utilities that identify natural section boundaries
- Implement complexity scoring for different PRD sections
- Build context extraction functions that preserve relevant details

### Step 2: Context-Aware Task Generation
- Modify the task generation prompt to include section-specific context
- Implement task-to-PRD mapping during generation
- Add metadata fields to preserve PRD relationships

### Step 3: Intelligent Expansion Pipeline
- Create expansion logic that uses preserved PRD context
- Implement smart prompt engineering that includes relevant PRD excerpts
- Add validation to ensure subtask fidelity to original requirements

### Step 4: Integration and Testing
- Integrate new functionality with existing parse-prd workflow
- Add comprehensive testing with various PRD types and complexities
- Implement telemetry for tracking detail preservation effectiveness

## Success Metrics
- PRD detail preservation rate (measured by semantic similarity between PRD and generated tasks)
- Reduction in manual task refinement needed post-parsing
- Improved accuracy of expanded subtasks compared to PRD specifications
- User satisfaction with task granularity and detail accuracy

## Edge Cases and Considerations
- Very large PRDs that exceed context windows
- PRDs with conflicting or ambiguous requirements
- Integration with existing task expansion workflows
- Performance impact of enhanced analysis
- Backward compatibility with existing parse-prd usage

# Test Strategy:


# Subtasks:
## 1. Implement PRD Analysis and Segmentation Engine [pending]
### Dependencies: None
### Description: Create intelligent PRD parsing that identifies natural task boundaries and complexity metrics
### Details:
## Implementation Requirements

### Core Functions to Implement:
1. **analyzePRDStructure(prdContent)**
   - Parse PRD into logical sections using headers, bullet points, and semantic breaks
   - Identify feature boundaries, technical requirements, and implementation sections
   - Return structured analysis with section metadata

2. **calculatePRDComplexity(prdContent)**
   - Analyze technical depth, feature count, integration requirements
   - Score complexity on 1-10 scale for different aspects
   - Return recommended task count based on complexity

3. **extractTaskBoundaries(prdAnalysis)**
   - Identify natural breaking points for task creation
   - Group related requirements into logical task units
   - Preserve context relationships between sections

### Technical Approach:
- Use regex patterns and NLP techniques to identify section headers
- Implement keyword analysis for technical complexity assessment
- Create semantic grouping algorithms for related requirements
- Build context preservation mappings

### Output Structure:
```javascript
{
  sections: [
    {
      title: "User Authentication",
      content: "...",
      startLine: 45,
      endLine: 78,
      complexity: 7,
      relatedSections: ["Security", "User Management"]
    }
  ],
  overallComplexity: 8.5,
  recommendedTaskCount: 15,
  naturalBoundaries: [...],
  contextMappings: {...}
}
```

### Integration Points:
- Called at the beginning of parse-prd process
- Results used to inform task generation strategy
- Analysis stored for later use in expansion phase

## 2. Enhance Task Generation with PRD Context Preservation [pending]
### Dependencies: None
### Description: Modify generateTasksFromPRD to embed PRD context and maintain source mappings
### Details:
## Implementation Requirements

### Core Modifications to generateTasksFromPRD:
1. **Add PRD Context Embedding**
   - Modify task generation prompt to include relevant PRD excerpts
   - Ensure each generated task includes source section references
   - Preserve original PRD language and specifications in task metadata

2. **Implement Context Windowing**
   - For large PRDs, implement intelligent context windowing
   - Include relevant sections for each task being generated
   - Maintain context relationships between related tasks

3. **Enhanced Task Structure**
   - Add prdContext field to task objects
   - Include sourceSection, originalText, and relatedSections
   - Store contextWindow for later use in expansions

### Technical Implementation:
```javascript
// Enhanced task generation with context
const generateTaskWithContext = async (prdSection, relatedSections, fullPRD) => {
  const contextWindow = buildContextWindow(prdSection, relatedSections, fullPRD);
  const prompt = `
    Generate a task based on this PRD section:
    
    PRIMARY SECTION:
    ${prdSection.content}
    
    RELATED CONTEXT:
    ${contextWindow}
    
    Ensure the task preserves all specific requirements and technical details.
  `;
  
  // Generate task with embedded context
  const task = await generateTask(prompt);
  task.prdContext = {
    sourceSection: prdSection.title,
    originalText: prdSection.content,
    relatedSections: relatedSections.map(s => s.title),
    contextWindow: contextWindow
  };
  
  return task;
};
```

### Context Preservation Strategy:
- Map each task to its source PRD sections
- Preserve technical specifications and requirements language
- Maintain relationships between interdependent features
- Store context for later use in expansion phase

### Integration with Existing Flow:
- Modify existing generateTasksFromPRD function
- Maintain backward compatibility with simple PRDs
- Add new metadata fields without breaking existing structure
- Ensure context is available for subsequent operations

## 3. Implement In-Flight Task Expansion Pipeline [pending]
### Dependencies: None
### Description: Add optional --expand-tasks flag and intelligent expansion using preserved PRD context
### Details:
## Implementation Requirements

### Core Features:
1. **Add --expand-tasks CLI Flag**
   - Optional flag for parse-prd command
   - Triggers automatic expansion after initial task generation
   - Configurable expansion depth and strategy

2. **Two-Pass Processing System**
   - First pass: Generate tasks with PRD context preservation
   - Second pass: Expand tasks using their embedded PRD context
   - Maintain context fidelity throughout the process

3. **Context-Aware Expansion Logic**
   - Use preserved PRD context for each task's expansion
   - Include relevant PRD excerpts in expansion prompts
   - Ensure subtasks maintain fidelity to original specifications

### Technical Implementation:
```javascript
// Enhanced parse-prd with expansion pipeline
const parsePRDWithExpansion = async (prdContent, options) => {
  // Phase 1: Analyze and generate tasks with context
  const prdAnalysis = await analyzePRDStructure(prdContent);
  const tasksWithContext = await generateTasksWithContext(prdAnalysis);
  
  // Phase 2: Expand tasks if requested
  if (options.expandTasks) {
    for (const task of tasksWithContext) {
      if (shouldExpandTask(task, prdAnalysis)) {
        const expandedSubtasks = await expandTaskWithPRDContext(task);
        task.subtasks = expandedSubtasks;
      }
    }
  }
  
  return tasksWithContext;
};

// Context-aware task expansion
const expandTaskWithPRDContext = async (task) => {
  const { prdContext } = task;
  const expansionPrompt = `
    Expand this task into detailed subtasks using the original PRD context:
    
    TASK: ${task.title}
    DESCRIPTION: ${task.description}
    
    ORIGINAL PRD CONTEXT:
    ${prdContext.originalText}
    
    RELATED SECTIONS:
    ${prdContext.contextWindow}
    
    Generate subtasks that preserve all technical details and requirements from the PRD.
  `;
  
  return await generateSubtasks(expansionPrompt);
};
```

### CLI Integration:
- Add --expand-tasks flag to parse-prd command
- Add --expansion-depth option for controlling subtask levels
- Add --preserve-detail flag for maximum context preservation
- Maintain backward compatibility with existing parse-prd usage

### Expansion Strategy:
- Determine which tasks should be expanded based on complexity
- Use PRD context to generate accurate, detailed subtasks
- Preserve technical specifications and implementation details
- Validate subtask accuracy against original PRD content

### Performance Considerations:
- Implement batching for large numbers of tasks
- Add progress indicators for long-running expansions
- Optimize context window sizes for efficiency
- Cache PRD analysis results for reuse

## 4. Enhance Expand-Task with PRD Context Integration [pending]
### Dependencies: None
### Description: Modify existing expand-task functionality to leverage preserved PRD context for more accurate expansions
### Details:
## Implementation Requirements

### Core Enhancements to expand-task.js:
1. **PRD Context Detection**
   - Check if task has embedded prdContext metadata
   - Extract relevant PRD sections for expansion
   - Fall back to existing expansion logic if no PRD context

2. **Context-Enhanced Expansion Prompts**
   - Include original PRD excerpts in expansion prompts
   - Add related section context for comprehensive understanding
   - Preserve technical specifications and requirements language

3. **Validation and Quality Assurance**
   - Validate generated subtasks against original PRD content
   - Ensure technical accuracy and requirement compliance
   - Flag potential discrepancies for review

### Technical Implementation:
```javascript
// Enhanced expand-task with PRD context
const expandTaskWithContext = async (taskId, options, context) => {
  const task = await getTask(taskId);
  
  // Check for PRD context
  if (task.prdContext) {
    return await expandWithPRDContext(task, options);
  } else {
    // Fall back to existing expansion logic
    return await expandTaskStandard(task, options);
  }
};

const expandWithPRDContext = async (task, options) => {
  const { prdContext } = task;
  
  const enhancedPrompt = `
    Expand this task into detailed subtasks using the original PRD context:
    
    TASK DETAILS:
    Title: ${task.title}
    Description: ${task.description}
    Current Details: ${task.details}
    
    ORIGINAL PRD CONTEXT:
    Source Section: ${prdContext.sourceSection}
    Original Requirements:
    ${prdContext.originalText}
    
    RELATED CONTEXT:
    ${prdContext.contextWindow}
    
    EXPANSION REQUIREMENTS:
    - Preserve all technical specifications from the PRD
    - Maintain requirement accuracy and completeness
    - Generate ${options.num || 'appropriate number of'} subtasks
    - Include implementation details that reflect PRD specifics
    
    Generate subtasks that are grounded in the original PRD content.
  `;
  
  const subtasks = await generateSubtasks(enhancedPrompt, options);
  
  // Add PRD context inheritance to subtasks
  subtasks.forEach(subtask => {
    subtask.prdContext = {
      inheritedFrom: task.id,
      sourceSection: prdContext.sourceSection,
      relevantExcerpt: extractRelevantExcerpt(prdContext, subtask)
    };
  });
  
  return subtasks;
};
```

### Integration Points:
1. **Modify existing expand-task.js**
   - Add PRD context detection logic
   - Enhance prompt generation with context
   - Maintain backward compatibility

2. **Update expansion validation**
   - Add PRD compliance checking
   - Implement quality scoring for context fidelity
   - Flag potential accuracy issues

3. **CLI and MCP Integration**
   - Update expand-task command to leverage PRD context
   - Add options for context-aware expansion
   - Maintain existing command interface

### Context Inheritance Strategy:
- Pass relevant PRD context to generated subtasks
- Create context inheritance chain for nested expansions
- Preserve source traceability throughout expansion tree
- Enable future re-expansion with maintained context

### Quality Assurance Features:
- Semantic similarity checking between subtasks and PRD
- Technical requirement compliance validation
- Automated flagging of potential context drift
- User feedback integration for continuous improvement

## 5. Add New CLI Options and MCP Parameters [pending]
### Dependencies: None
### Description: Implement new command-line flags and MCP tool parameters for enhanced PRD parsing
### Details:
## Implementation Requirements

### New CLI Options for parse-prd:
1. **--expand-tasks**
   - Automatically expand generated tasks using PRD context
   - Boolean flag, default false
   - Triggers in-flight expansion pipeline

2. **--preserve-detail**
   - Maximum detail preservation mode
   - Boolean flag, default false
   - Ensures highest fidelity to PRD content

3. **--adaptive-count**
   - Let AI determine optimal task count based on PRD complexity
   - Boolean flag, default false
   - Overrides --num-tasks when enabled

4. **--context-window-size**
   - Control how much PRD context to include in expansions
   - Integer value, default 2000 characters
   - Balances context richness with performance

5. **--expansion-depth**
   - Control how many levels deep to expand tasks
   - Integer value, default 1
   - Prevents excessive nesting

### MCP Tool Parameter Updates:
```javascript
// Enhanced parse_prd MCP tool parameters
{
  input: "Path to PRD file",
  output: "Output path for tasks.json",
  numTasks: "Number of top-level tasks (overridden by adaptiveCount)",
  expandTasks: "Boolean - automatically expand tasks with PRD context",
  preserveDetail: "Boolean - maximum detail preservation mode",
  adaptiveCount: "Boolean - AI determines optimal task count",
  contextWindowSize: "Integer - context size for expansions",
  expansionDepth: "Integer - levels of expansion to perform",
  research: "Boolean - use research model for enhanced analysis",
  force: "Boolean - overwrite existing files"
}
```

### CLI Command Updates:
```bash
# Enhanced parse-prd command examples
task-master parse-prd prd.txt --expand-tasks --preserve-detail
task-master parse-prd prd.txt --adaptive-count --expansion-depth=2
task-master parse-prd prd.txt --context-window-size=3000 --research
```

### Implementation Details:
1. **Update commands.js**
   - Add new option definitions
   - Update parse-prd command handler
   - Maintain backward compatibility

2. **Update MCP tool definition**
   - Add new parameter schemas
   - Update tool description and examples
   - Ensure parameter validation

3. **Parameter Processing Logic**
   - Validate parameter combinations
   - Set appropriate defaults
   - Handle conflicting options gracefully

### Validation Rules:
- expansion-depth must be positive integer ≤ 3
- context-window-size must be between 500-5000 characters
- adaptive-count overrides num-tasks when both specified
- expand-tasks requires either adaptive-count or num-tasks > 5

### Help Documentation Updates:
- Update command help text with new options
- Add usage examples for different scenarios
- Document parameter interactions and constraints
- Include performance considerations for large PRDs

## 6. Implement Comprehensive Testing and Validation [pending]
### Dependencies: None
### Description: Create test suite for PRD analysis, context preservation, and expansion accuracy
### Details:
## Implementation Requirements

### Test Categories:
1. **PRD Analysis Testing**
   - Test section identification with various PRD formats
   - Validate complexity scoring accuracy
   - Test boundary detection for different document structures
   - Verify context mapping correctness

2. **Context Preservation Testing**
   - Validate PRD context embedding in generated tasks
   - Test context window generation and sizing
   - Verify source section mapping accuracy
   - Test context inheritance in subtasks

3. **Expansion Accuracy Testing**
   - Compare PRD-grounded vs standard expansions
   - Measure semantic similarity between PRD and subtasks
   - Test technical requirement preservation
   - Validate expansion depth and quality

4. **Integration Testing**
   - Test full parse-prd pipeline with expansion
   - Validate CLI option combinations
   - Test MCP tool parameter handling
   - Verify backward compatibility

### Test Data Requirements:
```javascript
// Test PRD samples
const testPRDs = {
  simple: "Basic PRD with minimal technical details",
  complex: "Detailed PRD with extensive technical specifications",
  structured: "Well-organized PRD with clear sections",
  unstructured: "Free-form PRD with mixed content",
  technical: "Highly technical PRD with specific requirements",
  large: "Very large PRD testing context window limits"
};
```

### Validation Metrics:
1. **Detail Preservation Score**
   - Semantic similarity between PRD and generated tasks
   - Technical requirement coverage percentage
   - Specification accuracy rating

2. **Context Fidelity Score**
   - Accuracy of source section mapping
   - Relevance of included context windows
   - Quality of context inheritance

3. **Expansion Quality Score**
   - Subtask relevance to parent task and PRD
   - Technical accuracy of implementation details
   - Completeness of requirement coverage

### Test Implementation:
```javascript
// Example test structure
describe('Enhanced Parse-PRD', () => {
  describe('PRD Analysis', () => {
    test('should identify sections correctly', async () => {
      const analysis = await analyzePRDStructure(testPRDs.structured);
      expect(analysis.sections).toHaveLength(expectedSectionCount);
      expect(analysis.overallComplexity).toBeGreaterThan(0);
    });
    
    test('should calculate appropriate task count', async () => {
      const analysis = await analyzePRDStructure(testPRDs.complex);
      expect(analysis.recommendedTaskCount).toBeGreaterThan(10);
    });
  });
  
  describe('Context Preservation', () => {
    test('should embed PRD context in tasks', async () => {
      const tasks = await generateTasksWithContext(testPRDs.technical);
      tasks.forEach(task => {
        expect(task.prdContext).toBeDefined();
        expect(task.prdContext.sourceSection).toBeTruthy();
        expect(task.prdContext.originalText).toBeTruthy();
      });
    });
  });
  
  describe('Expansion Accuracy', () => {
    test('should generate relevant subtasks from PRD context', async () => {
      const task = createTestTaskWithPRDContext();
      const subtasks = await expandTaskWithPRDContext(task);
      
      const relevanceScore = calculateRelevanceScore(subtasks, task.prdContext);
      expect(relevanceScore).toBeGreaterThan(0.8);
    });
  });
});
```

### Performance Testing:
- Test with large PRDs (>10,000 words)
- Measure processing time for different complexity levels
- Test memory usage with extensive context preservation
- Validate timeout handling for long-running operations

### Quality Assurance Tools:
- Automated semantic similarity checking
- Technical requirement compliance validation
- Context drift detection algorithms
- User acceptance testing framework

### Continuous Integration:
- Add tests to existing CI pipeline
- Set up performance benchmarking
- Implement quality gates for PRD processing
- Create regression testing for context preservation