126 lines
5.4 KiB
Markdown
126 lines
5.4 KiB
Markdown
---
|
|
description: Ultra-comprehensive analytical thinking for the most complex problems
|
|
argument-hint: [complex problem or question]
|
|
---
|
|
|
|
# Think Ultra Command
|
|
|
|
Activate maximum cognitive ultrathink processing for ultra-comprehensive analysis of: **$ARGUMENTS**
|
|
|
|
## Ultra-Analysis Framework
|
|
|
|
Deploy the most rigorous analytical methodology with exhaustive examination across all dimensions:
|
|
|
|
### Phase 1: Problem Architecture
|
|
|
|
- **Ontological analysis**: What is the fundamental nature of this problem?
|
|
- **Epistemological examination**: How do we know what we know about this?
|
|
- **Semantic decomposition**: Deconstruct all key terms and concepts
|
|
- **Boundary analysis**: What's included, excluded, and why?
|
|
- **Meta-problem identification**: What's the problem behind the problem?
|
|
|
|
### Phase 2: Multi-Paradigm Analysis
|
|
|
|
- **Reductionist approach**: Break down to smallest analyzable components
|
|
- **Holistic systems view**: Examine emergent properties and interactions
|
|
- **Dialectical reasoning**: Explore contradictions and their resolution
|
|
- **Phenomenological perspective**: How is this experienced subjectively?
|
|
- **Pragmatic evaluation**: What works in practice vs. theory?
|
|
|
|
### Phase 3: Cross-Disciplinary Integration
|
|
|
|
- **Scientific methodology**: Hypothesis formation, testing, validation
|
|
- **Mathematical modeling**: Quantitative relationships and patterns
|
|
- **Philosophical frameworks**: Logical consistency and ethical implications
|
|
- **Historical analysis**: Patterns, precedents, and evolutionary trends
|
|
- **Anthropological view**: Cultural, social, and behavioral dimensions
|
|
- **Economic analysis**: Resource allocation, incentives, and trade-offs
|
|
|
|
### Phase 4: Temporal and Spatial Scaling
|
|
|
|
- **Multi-timescale analysis**: Immediate, short-term, medium-term, long-term
|
|
- **Generational thinking**: Impact across multiple generations
|
|
- **Spatial scaling**: Local, regional, national, global implications
|
|
- **Fractal analysis**: Self-similar patterns across different scales
|
|
- **Path dependency**: How history constrains future options
|
|
|
|
### Phase 5: Uncertainty and Risk Modeling
|
|
|
|
- **Probabilistic reasoning**: Bayesian updating and confidence intervals
|
|
- **Scenario planning**: Multiple future pathways and their implications
|
|
- **Black swan analysis**: Low-probability, high-impact events
|
|
- **Antifragility assessment**: What benefits from disorder?
|
|
- **Robustness testing**: Performance under various stress conditions
|
|
|
|
### Phase 6: Decision Theory and Game Theory
|
|
|
|
- **Multi-criteria decision analysis**: Weighted evaluation of options
|
|
- **Strategic interactions**: How others' decisions affect outcomes
|
|
- **Mechanism design**: Optimal system architecture for desired outcomes
|
|
- **Behavioral economics**: Cognitive biases and psychological factors
|
|
- **Evolutionary stable strategies**: What persists over time?
|
|
|
|
### Phase 7: Meta-Cognitive Reflection
|
|
|
|
- **Cognitive bias audit**: Systematic identification of thinking errors
|
|
- **Perspective-taking**: Steel-manning opposing viewpoints
|
|
- **Assumption archaeology**: Digging deep into foundational beliefs
|
|
- **Reasoning transparency**: Making implicit logic explicit
|
|
- **Intellectual humility**: Acknowledging limits and uncertainties
|
|
|
|
## Ultra-Structured Output
|
|
|
|
Present your comprehensive analysis using this detailed format:
|
|
|
|
### 1. Problem Reconceptualization
|
|
|
|
- **Original question**: As stated
|
|
- **Refined question**: After deep analysis
|
|
- **Hidden assumptions**: Uncovered implicit beliefs
|
|
- **Reframing**: Alternative ways to view the issue
|
|
|
|
### 2. Multi-Dimensional Mapping
|
|
|
|
- **Core components**: Essential elements and their relationships
|
|
- **System dynamics**: Feedback loops and emergent behaviors
|
|
- **Stakeholder ecosystem**: All affected parties and their interests
|
|
- **Constraint analysis**: Limitations and boundary conditions
|
|
|
|
### 3. Evidence and Research Integration
|
|
|
|
- **Data synthesis**: Relevant empirical findings
|
|
- **Theoretical frameworks**: Applicable models and theories
|
|
- **Case studies**: Historical precedents and analogies
|
|
- **Expert consensus**: Areas of agreement and disagreement
|
|
|
|
### 4. Comprehensive Option Analysis
|
|
|
|
- **Option generation**: Creative alternatives beyond obvious choices
|
|
- **Multi-criteria evaluation**: Systematic comparison across dimensions
|
|
- **Sensitivity analysis**: How robust are conclusions to assumption changes?
|
|
- **Implementation pathways**: Practical steps for each option
|
|
|
|
### 5. Risk and Uncertainty Assessment
|
|
|
|
- **Known unknowns**: Identified areas of uncertainty
|
|
- **Unknown unknowns**: Potential blind spots
|
|
- **Failure modes**: What could go wrong and why
|
|
- **Mitigation strategies**: Risk reduction approaches
|
|
|
|
### 6. Strategic Recommendations
|
|
|
|
- **Primary recommendation**: Best course of action with rationale
|
|
- **Alternative pathways**: Backup options and contingencies
|
|
- **Implementation roadmap**: Sequenced steps with timelines
|
|
- **Success metrics**: How to measure progress and outcomes
|
|
- **Adaptation triggers**: When to reconsider the approach
|
|
|
|
### 7. Meta-Analysis and Reflection
|
|
|
|
- **Confidence assessment**: How certain are you and why?
|
|
- **Key insights**: Most important discoveries
|
|
- **Remaining questions**: What still needs investigation?
|
|
- **Learning opportunities**: What this analysis teaches about problem-solving
|
|
|
|
**Note**: This ultra-analysis may require significant processing time and computational resources. The depth of analysis should match the complexity and importance of the problem. Consider using `/think-harder` for less complex issues that don't require the full 7-phase ultra-comprehensive framework.
|