🚀 Enhance Task Generation and Management Workflow

Summary

This PR introduces significant improvements to the AI development workflow by enhancing the task generation and management processes in generate-tasks.md and process-task-list.md. These changes provide better structure, clarity, and tracking capabilities for AI-assisted development projects.

Key Improvements

📋 Enhanced Task Generation Process (generate-tasks.md)

• Added comprehensive task descriptions: Each task and sub-task now includes detailed explanations of what needs to be accomplished and why
• Introduced complexity calculation system:
  • 5-point complexity scale (🟢🟡🟠🔴🟣) with color-coded visual indicators
  • Detailed guidelines considering technical difficulty, dependencies, time estimation, and risk level
• Improved phased approach:
  • Clear separation between parent task generation and sub-task breakdown
  • User confirmation step ("Go") before proceeding to detailed sub-tasks
• Better codebase integration: Enhanced assessment of current state and existing infrastructure before task generation

📝 Comprehensive Task Documentation (process-task-list.md)

• Enhanced completion protocols:
  • Structured approach for marking tasks complete
  • Automatic test running and git commit procedures
  • Conventional commit message formatting with detailed descriptions
• Individual task documentation:
  • Dedicated markdown files for each completed parent task
  • Comprehensive summaries of all operations performed
  • Better tracking of file modifications and testing results
• Improved AI instructions: Clearer guidelines for task progression and documentation

Benefits

• 🎯 Better Planning: More structured approach to breaking down complex features
• 📊 Complexity Awareness: Developers can better estimate effort and plan accordingly
• 📖 Enhanced Documentation: Comprehensive tracking of all work performed
• 🔄 Improved Workflow: Cleaner separation of concerns and better user interaction flow
• ✅ Quality Assurance: Built-in testing and commit protocols ensure code quality

Target Audience

These improvements are designed to benefit:

• Junior developers who need clear, step-by-step guidance
• AI development teams using tools like Cursor, Claude Code, and similar AI-powered IDEs
• Project managers who need better visibility into development progress

Files Modified

• generate-tasks.md - Enhanced with complexity calculations and detailed task descriptions
• process-task-list.md - Updated with comprehensive completion protocols and documentation requirements

This enhancement maintains backward compatibility while providing significantly more structure and guidance for AI-assisted development workflows.