abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-and-or-goal --agent claude-codeHow it fires
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Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals.
name: decompose-and-or-goal description: "Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals."
Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals.
required: [top_goal, constraints] optional: [actor_profile, obstacle_report, existing_subgoals] constraints: [branch semantics, dependencies, and leaf criteria must be explicit]
1. Split the goal into necessary AND conditions and alternative OR paths. 2. Recurse until each leaf has an observable result or executable action. 3. Attach actors, dependencies, constraints, and unresolved feasibility to each branch. 4. Preserve shared subgoals as DAG nodes rather than duplicating them.
If the AND/OR decomposition is complete enough to test necessity and coverage, consider `validate-goal-tree` as the next tactic.
produces: [goal_dag, branch_semantics, executable_leaves, dependency_edges, feasibility_questions] delta_fields: [findings, hypothesis_updates, uncertainties, open_questions]
Do not split prose into labels without changing testability, and do not treat alternatives as simultaneous requirements.
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.
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