Deep Analysis and Problem Solving Mode

Deep analysis and problem solving mode

Instructions

1. Initialize Ultra Think Mode

   • Acknowledge the request for enhanced analytical thinking
   • Set context for deep, systematic reasoning
   • Prepare to explore the problem space comprehensively

2. Parse the Problem or Question

   • Extract the core challenge from: $ARGUMENTS
   • Identify all stakeholders and constraints
   • Recognize implicit requirements and hidden complexities
   • Question assumptions and surface unknowns

3. Multi-Dimensional Analysis Approach the problem from multiple angles:

   Technical Perspective

   • Analyze technical feasibility and constraints
   • Consider scalability, performance, and maintainability
   • Evaluate security implications
   • Assess technical debt and future-proofing

   Business Perspective

   • Understand business value and ROI
   • Consider time-to-market pressures
   • Evaluate competitive advantages
   • Assess risk vs. reward trade-offs

   User Perspective

   • Analyze user needs and pain points
   • Consider usability and accessibility
   • Evaluate user experience implications
   • Think about edge cases and user journeys

   System Perspective

   • Consider system-wide impacts
   • Analyze integration points
   • Evaluate dependencies and coupling
   • Think about emergent behaviors

4. Generate Multiple Solutions

   • Brainstorm at least 3-5 different approaches
   • For each approach, consider:
     • Pros and cons
     • Implementation complexity
     • Resource requirements
     • Potential risks
     • Long-term implications
   • Include both conventional and creative solutions
   • Consider hybrid approaches

5. Deep Dive Analysis For the most promising solutions:

   • Create detailed implementation plans
   • Identify potential pitfalls and mitigation strategies
   • Consider phased approaches and MVPs
   • Analyze second and third-order effects
   • Think through failure modes and recovery

6. Cross-Domain Thinking

   • Draw parallels from other industries or domains
   • Apply design patterns from different contexts
   • Consider biological or natural system analogies
   • Look for innovative combinations of existing solutions

7. Challenge and Refine

   • Play devil's advocate with each solution
   • Identify weaknesses and blind spots
   • Consider "what if" scenarios
   • Stress-test assumptions
   • Look for unintended consequences

8. Synthesize Insights

   • Combine insights from all perspectives
   • Identify key decision factors
   • Highlight critical trade-offs
   • Summarize innovative discoveries
   • Present a nuanced view of the problem space

9. Provide Structured Recommendations Present findings in a clear structure: ``

   Problem Analysis

   • Core challenge
   • Key constraints
   • Critical success factors

   Solution Options

   Option 1: [Name]

   • Description
   • Pros/Cons
   • Implementation approach
   • Risk assessment

   Option 2: [Name]

   [Similar structure]

   Recommendation

   • Recommended approach
   • Rationale
   • Implementation roadmap
   • Success metrics
   • Risk mitigation plan

   Alternative Perspectives

   • Contrarian view
   • Future considerations
   • Areas for further research `

10. Meta-Analysis

    • Reflect on the thinking process itself
    • Identify areas of uncertainty
    • Acknowledge biases or limitations
    • Suggest additional expertise needed
    • Provide confidence levels for recommendations

Usage Examples

`bash

Architectural decision

/project:ultra-think Should we migrate to microservices or improve our monolith?

Complex problem solving

/project:ultra-think How do we scale our system to handle 10x traffic while reducing costs?

Strategic planning

/project:ultra-think What technology stack should we choose for our next-gen platform?

Design challenge

/project:ultra-think How can we improve our API to be more developer-friendly while maintaining backward compatibility? ``

Key Principles

• First Principles Thinking: Break down to fundamental truths
• Systems Thinking: Consider interconnections and feedback loops
• Probabilistic Thinking: Work with uncertainties and ranges
• Inversion: Consider what to avoid, not just what to do
• Second-Order Thinking: Consider consequences of consequences

Output Expectations

• Comprehensive analysis (typically 2-4 pages of insights)
• Multiple viable solutions with trade-offs
• Clear reasoning chains
• Acknowledgment of uncertainties
• Actionable recommendations
• Novel insights or perspectives