Causal Tree Building

SkillDev tools

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

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Causal Tree Building skill

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/causal-tree-building/SKILL.md and read by ahel’s review.

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>

Available SOPs

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

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

Signals

GitHub stars
469
Forks
37
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
causal-tree-building
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine