Install
openclaw skills install @deciqai/meceActivate when: user says 'decompose this', 'structure this thinking', 'MECE', 'issue tree', 'Minto Pyramid', 'how do we cover all the cases without double-counting', a problem feels too big to think about cleanly, a list of options is messy or overlapping, an analysis keeps going in circles, or a presentation needs to survive hard scrutiny. Do NOT activate when: the problem is trivially small (lunch decisions), or the user is in purely creative/generative mode where premature structure would constrain exploration.
openclaw skills install @deciqai/meceMECE is a decomposition principle: break a problem, set of options, or population into sub-groups that are Mutually Exclusive (no overlap) and Collectively Exhaustive (no gaps) — every relevant item covered exactly once. Operationalized by Barbara Minto at McKinsey (1963–1973) in The Pyramid Principle (1973; 3rd ed. 2002). The test: sum the pieces back to the whole; if they don't sum cleanly, the decomposition is broken.
Compose: use first-principles to reach root variables; pareto-principle to find load-bearing branches; critical-thinking to test whether categories are the right ones; occams-razor when multiple MECE structures fit — pick the simplest.
When NOT to use: trivially small problem; purely creative/generative mode; genuinely non-decomposable question (some ethical/aesthetic problems resist this); decomposition already known and well-trodden.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
Run the MECE Decomposition: define the whole → propose top split → check ME AND CE → iterate → identify load-bearing branch.
# MECE Decomposition: <whole problem / question>
## The whole: <measurable, bounded subject>
## Top-level split (Level 1): Branch A / Branch B / Branch C / (Other if needed)
## ME test: A ∩ B = ? / A ∩ C = ? (refine until empty)
## CE test: What is missing? / Sum = whole? (yes/no + what's added)
## Sub-decomposition (Level 2, only if needed): A → A1 / A2 ...
## Load-bearing branch: <branch with most insight per effort>
## Action implied: <specific action this decomposition makes obvious>
## Alternative decompositions considered: <why this dimension over others>
→ Method in Action: Lou Gerstner's IBM Turnaround Decomposition (1993)
Canonical MECE dimensions by domain: Profit/margin — Revenue = Price × Volume; Cost = Fixed + Variable. Customer segmentation — industry / size / use case / buying mode. Strategy options — axis of competition; build/buy/partner; time horizon. Failure-mode (see inversion) — technical / human / process / environmental.
→ Primary sources: references/sources.md
[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.
| Fake move | Reality |
|---|---|
| [D] Claiming MECE without testing | "These are the three options" is not MECE until tested. Run the overlap check AND the gap check. |
| [D] Overlapping categories ("Big customers / Important customers") | These overlap. Refine — perhaps by quantitative threshold — until disjoint. |
| [D] Missing the residual | Geography split into "North America / Europe / Asia" misses Latin America, Africa, Oceania. Add "Other" explicitly. |
| [D] Wrong dimension chosen | Product-line decomposition was MECE but missed the customer-buying-mode dimension that mattered. Try alternatives. |
| [D] Decomposing trivial problems | Lunch decisions don't need MECE. Reserve it for problems with large surface area. |
| [D] Going too deep | Decomposing past actionable leaves produces complexity without insight. |
| [D] Fake "Other" branches | An "Other" capturing > 30% of the whole means the dimension is wrong. Rethink the split. |
| [D] Not summing back to the whole | The most reliable MECE test is arithmetic. Skipping it lets broken decompositions look fine. |
| [D] Treating MECE as the analysis | MECE produces the structure; analysis happens within the structure. A MECE diagram with no investigation is wall art. |
| [D] Single decomposition without alternatives | Most analytical disagreements are about which decomposition. Consider 2–3 dimensions before committing. |
| → Add [O] entries here after each real use — paste the actual failure pattern | What went wrong and why |
Part of deciqAI Knowledge Skills — open-source thinking skills that make rigor executable for AI agents. Built by deciqAI · https://deciqai.com · Contributions welcome — see the template at the repo root.