doncheli-reasoning

name	doncheli-reasoning
description	Apply structured reasoning models to analyze a decision or problem. Activate when user mentions "reason", "pre-mortem", "5 whys", "pareto", "think through", "analyze decision", "inversion", "first principles", "second order".

Don Cheli: Structured Reasoning Engine

Available Models

ID	Best For
pre-mortem	Imagining failure before it happens; surfacing hidden risks
5-whys	Root cause analysis of a known problem
pareto	Identifying the 20% of causes driving 80% of impact
inversion	Asking "what would guarantee failure?" to find blockers
second-order	Mapping downstream consequences of a decision
first-principles	Decomposing assumptions down to fundamental truths
minimize-regret	Choosing the option you will regret least in 10 years
opportunity-cost	Evaluating what you give up by choosing this option
circle-of-competence	Assessing whether you have the knowledge to decide well
map-territory	Separating your mental model from reality
probabilistic	Assigning probabilities to outcomes; expected-value calc
reversibility	Classifying decisions as one-way vs. two-way doors
rlm-chain-of-thought	Step-by-step explicit reasoning (RLM: PrimeIntellect style)
rlm-decomposition	Breaking a complex problem into atomic sub-problems (RLM)
rlm-verification	Self-checking the reasoning chain for contradictions (RLM)

Instructions

1. Read the problem or decision description
2. If the user did not specify a model, suggest the 1–2 best-fit models with a one-line rationale; wait for confirmation or proceed with the top suggestion
3. Apply the selected model(s) rigorously, showing all reasoning steps
4. End with a clear recommendation or insight

Output Format

## Reasoning: <problem>
**Model applied:** <id> — <why this model fits>

### Analysis
<step-by-step application of the model>

### Insight / Recommendation
…

### Caveats
…

Quality Gate

• Show all intermediate steps — no conclusions without visible reasoning
• If using probabilistic model, all probabilities must sum to 1 across mutually exclusive outcomes
• If using rlm-verification, the final step must explicitly confirm or reject the reasoning chain

Do not use this skill when

• The question requires group deliberation with roles — use doncheli-debate instead
• The task is a straightforward implementation — use doncheli-implement instead