Apply structured reasoning to complex problems involving multi-factor trade-offs, causal analysis, hypothesis testing, or strategic decisions. ALWAYS activate when the problem has ambiguous boundaries, incomplete information, or contradictory evidence. Separate facts from inferences; actively seek counter-evidence. NEVER present conclusions without stating confidence level and key uncertainties. NEVER skip the counter-argument step.
When structured reasoning is needed for complex problems: multi-factor trade-offs, causal analysis, hypothesis testing, strategic decision support. Suitable when problem boundaries are ambiguous, information is incomplete, or evidence is contradictory.
problem: Problem or decision scenario descriptionevidence: Known facts, data, constraints (optional)depth: shallow (quick judgment) | deep (deep analysis, uses deepseek-reasoner)output_format: conclusion (conclusion-focused) | structured (full reasoning chain)## Problem
[Problem statement]
## Key Assumptions
- [Assumption 1] (verified / unverified)
- [Assumption 2] (verified / unverified)
## Reasoning Process
1. [Step 1: fact / inference]
2. [Step 2: deduction]
...
## Conclusion
[Conclusion] (confidence: high / medium / low)
## Key Uncertainties
- [Uncertainty 1]
- [Uncertainty 2]
## Recommended Next Actions
- [Action 1]