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Automation
Skill

/build-current-reality-tree

Build a sufficient-cause Current Reality Tree linking undesirable effects to a small root set.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill build-current-reality-tree --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/build-current-reality-tree

Context preview

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

Build a sufficient-cause Current Reality Tree linking undesirable effects to a small root set.

SKILL.md

build-current-reality-tree.SKILL.md
name: build-current-reality-tree
description: "Build a sufficient-cause Current Reality Tree linking undesirable effects to a small root set."

build-current-reality-tree

Purpose

Build a sufficient-cause Current Reality Tree linking undesirable effects to a small root set.

Input contract

required: [undesirable_effects, causal_evidence]
optional: [candidate_causes, system_boundary]
constraints: [each AND/OR connection requires a stated causal rationale]

Procedure

1. Normalize undesirable effects into observable statements. 2. Connect effects with sufficient-cause relationships, marking AND requirements. 3. Trace converging chains to a small root set and test each link.

Output contract

produces: [current_reality_tree, root_cause_candidates, causal_rationale]
delta_fields: [findings, assumption_updates, uncertainties, decisions]

Quality gates

  • Every effect has an incoming explanation or is marked unexplained; root candidates explain multiple effects where evidence supports it.

Failure and counterexamples

Do not infer causality from co-occurrence, and do not force a single root when independent roots remain.

Provenance map

  • `deep-insight/current-reality-tree`: resolved.
Ships withde-anthropocentric-research-engine

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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Python
Language
Apache-2.0
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4h ago
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7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine