/causal-tree-building
Build logical causal trees from symptoms to root causes — list UDEs,
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill causal-tree-building --agent claude-codeHow 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
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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.mdname: 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) -->
Read more
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) -->
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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Other skills on de-anthropocentric-research-engine.
- /formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced block in your reply. Do not execute the research.
Open skill - /formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
Open skill - /injection-fidelity
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
Open skill - /ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
Open skill - /optimization-loop
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the
Open skill - /acu-nugget-recall
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
Open skill

