RooPrompts/project-summary.md

Roo Mode Files Update Project - Comprehensive Summary

Project Overview

This project successfully modernized and standardized all 12 Roo mode files, incorporating the latest prompt engineering best practices, insights from the current Roo implementation, and lessons learned from legacy mode analysis. Each mode file has been crafted to be concise (100-150 lines), focused, and aligned with modern AI interaction patterns.

Accomplishments

1. Complete Mode File Modernization

• Updated all 12 mode files with consistent structure and formatting
• Incorporated insights from roo.md, sample.md, and prompt-engineering.md
• Applied lessons learned from legacy mode analysis
• Ensured each file is within the 100-150 line target range

2. Standardized Structure Implementation

Each mode file now follows a consistent structure:

• Clear mode identity and purpose statement
• Specific capabilities and focus areas
• Tool access permissions
• Integration points with other modes
• Workflow patterns
• Best practices and guidelines

3. Modern Prompt Engineering Integration

• Applied Chain of Thought (CoT) reasoning patterns
• Implemented clear role definitions
• Used structured output formats
• Incorporated iterative refinement workflows
• Added explicit success criteria

List of All 12 Mode Files Created

Core Modes

1. CodeMode.md - General-purpose coding and implementation
2. AskMode.md - Information gathering and explanation
3. DebugMode.md - Systematic debugging and issue resolution
4. ArchitectMode.md - System design and architecture planning

Specialized Modes

5. OrchestratorMode.md - Multi-mode coordination and complex project management
6. CodeReviewerMode.md - Comprehensive code quality analysis
7. DeepThinkerMode.md - Profound analysis and strategic thinking
8. EnhancedPlanningMode.md - Detailed planning and problem-solving

Domain-Specific Modes

9. DeepResearchMode.md - In-depth research using MCP tools
10. QATesterMode.md - Quality assurance and testing
11. HaskellGodMode.md - Advanced Haskell development
12. ReScriptMasterMode.md - ReScript monorepo expertise

Key Improvements Over Legacy Versions

1. Conciseness and Focus

• Reduced file sizes from 200-400 lines to 100-150 lines
• Eliminated redundancy and verbose instructions
• Focused on essential capabilities and workflows

2. Modern AI Interaction Patterns

• Replaced command-style instructions with collaborative guidance
• Emphasized iterative workflows over rigid procedures
• Added explicit reasoning and transparency requirements

3. Enhanced Integration

• Clear handoff points between modes
• Explicit mode switching criteria
• Shared context preservation mechanisms

4. Tool Access Clarity

• Specific tool permissions for each mode
• Clear boundaries and restrictions
• Integration with MCP servers where appropriate

5. Improved Workflows

• Step-by-step processes with clear checkpoints
• Iterative refinement loops
• Explicit success and failure criteria

Implementation Highlights

1. Consistency Across Modes

• Uniform header structure
• Consistent formatting and organization
• Standardized workflow patterns
• Common integration mechanisms

2. Memory Bank Integration

• All modes reference Memory Bank architecture
• Consistent update requirements
• Shared documentation standards

3. MCP Server Utilization

• Deep Research mode leverages Context7, Brave Search, and Playwright
• QA Tester mode integrates with testing MCP servers
• Enhanced Planning mode uses Sequential Thinking MCP

4. Safety and Alignment

• Incorporated advanced reasoning protocols
• Added anti-deception measures
• Implemented prompt injection resistance
• Balanced agency protocols

5. Practical Workflows

• Each mode includes specific workflow diagrams
• Clear entry and exit criteria
• Practical examples and use cases

Project Impact

This modernization effort has created a cohesive, efficient, and powerful set of mode files that:

1. Enhance Roo's Capabilities - Each mode is now more focused and effective
2. Improve User Experience - Clearer mode selection and smoother transitions
3. Increase Reliability - Consistent patterns reduce errors and confusion
4. Enable Better Collaboration - Clear handoffs and shared context
5. Support Scalability - Modular design allows for easy additions

Technical Excellence

The updated mode files demonstrate:

• Clean Architecture - Separation of concerns between modes
• DRY Principles - Minimal repetition, maximum reuse
• SOLID Design - Each mode has a single, clear responsibility
• Modern Patterns - Incorporates latest AI interaction best practices

Future Extensibility

The standardized structure makes it easy to:

• Add new specialized modes
• Update existing modes with new capabilities
• Integrate additional MCP servers
• Adapt to new AI models and capabilities

This project has successfully transformed Roo's mode system into a modern, efficient, and powerful framework for AI-assisted development.