abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Move from symptoms to causal structure using complementary root-cause representations and causal-validity checks.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill drill-root-causes --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/drill-root-causesContext preview
The summary Claude sees to decide when to auto-load this skill.
Move from symptoms to causal structure using complementary root-cause representations and causal-validity checks.
name: drill-root-causes description: "Move from symptoms to causal structure using complementary root-cause representations and causal-validity checks."
Move from symptoms to causal structure using complementary root-cause representations and validity checks.
required: [symptoms_or_undesirable_effects] optional: [evidence, system_boundary, known_causes] constraints: [each causal edge needs an evidence or assumption label]
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `drill-five-whys` to drill repeated whys. 2. You MUST load skill `decompose-ishikawa` to decompose six causal categories. 3. You MUST load skill `build-current-reality-tree` to build the current-reality tree. 4. You MUST load skill `validate-causal-link` to validate its causal links. If the root-cause chain depends on untested assumptions, consider `assumption-stress-test` as the next tactic. Deviation: use fewer representations only when the input explicitly limits scope; record omitted views and reason.
produces: [why_chain, ishikawa_map, current_reality_tree, root_cause_set] delta_fields: [findings, assumption_updates, uncertainties, decisions, open_questions]
Do not call a correlation a root cause, or stop at a label that cannot explain the observed effects.
Append symptom changes, causal edges, competing roots, and validation failures.
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
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.