5.4 KiB
5.4 KiB
description, argument-hint
| description | argument-hint | |
|---|---|---|
| Ultra-comprehensive analytical thinking for the most complex problems |
|
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.