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/causal-tree-building

Build logical causal trees from symptoms to root causes — list UDEs,

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de-anthropocentric-research-engine
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Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill causal-tree-building --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/causal-tree-building

Context preview

The summary Claude sees to decide when to auto-load this skill.

Build logical causal trees from symptoms to root causes — list UDEs,

SKILL.md

causal-tree-building.SKILL.md
name: causal-tree-building
description: Build logical causal trees from symptoms to root causes — list UDEs,
  connect causal chains, validate logic, locate root causes. Combines ishikawa-decomposition,
  current-reality-tree, and clr-validation SOPs.
execution: tactic
dependencies:
  sops:
  - clr-validation
  - current-reality-tree
  - deep-insight-paper-search
  - five-whys-drilling
  - ishikawa-decomposition

Causal Tree Building

Build formal causal trees from symptoms to root causes.

Operations

  • ishikawa-decomposition — multi-factor decomposition (6M categories)
  • current-reality-tree — sufficient-cause logic tree
  • clr-validation — validate every causal link

Available SOPs

**Subagent:** five-whys-drilling, ishikawa-decomposition, current-reality-tree, clr-validation **Import:** paper-search

Execution Guidance

Decompose via Ishikawa (6M categories adapted for research: Methodology, Data, Theory, Measurement, Researchers, Environment). Build formal CRT with sufficient-cause logic. Validate every causal link with CLR 8-check.

Minimum Yield

<HARD-GATE>
- ishikawa diagrams: >= 1
- CRT constructed: >= 1
- CLR validations: >= 3 links validated
- root causes identified: >= 1
</HARD-GATE>

<!-- BEGIN available-tables (generated) -->

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use | | --- | --- | | clr-validation | Apply Goldratt's 8 Categories of Legitimate Reservation to validate causal claims. Tests clarity, existence, sufficiency, and logical integrity. | | current-reality-tree | Build TOC Current Reality Trees — connect Undesirable Effects via sufficient-cause logic to identify 1-3 root causes. | | deep-insight-paper-search | AI-powered paper summary and search. Import of literature-engine/literature-search skill. AI summary level — cite as "AI-extracted" not "paper states". | | five-whys-drilling | Iterative "Why?" questioning (5+ levels) to drill from surface phenomenon to actionable root cause. Each level verified against evidence. | | ishikawa-decomposition | Decompose problems into 6M categories (Methodology, Data, Theory, Measurement, Researchers, Environment) via fishbone diagram analysis. |

<!-- END available-tables (generated) -->

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The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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