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SKILL verified Apache-2.0 Self-run

Doncheli Reasoning

skill-doncheli-don-cheli-sdd-doncheli-reasoning · by doncheli

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".

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Install

$ agentstack add skill-doncheli-don-cheli-sdd-doncheli-reasoning

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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: 
**Model applied:**  — 

### Analysis

### 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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.