causal-tree-building
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/causal-tree-buildingBuilds causal trees from symptoms to root causes using structured logic and validation
- Solves complex root-cause analysis by tracing symptoms to underlying issues
- Uses Ishikawa decomposition, current-reality trees, and CLR validation SOPs
- Applies 6M categories and sufficient-cause logic to validate causal links
- Delivers formal diagrams with validated chains and identified root causes
SKILL.md
.github/skills/causal-tree-buildingView on GitHub ↗
--- 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 used-by: root-cause-drilling --- # 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> ```