abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Turn a research direction into an AND/OR goal DAG with testable leaves, dependency structure, and feasibility annotations.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-research-goal --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/decompose-research-goalContext preview
The summary Claude sees to decide when to auto-load this skill.
Turn a research direction into an AND/OR goal DAG with testable leaves, dependency structure, and feasibility annotations.
name: decompose-research-goal description: "Turn a research direction into an AND/OR goal DAG with testable leaves, dependency structure, and feasibility annotations."
Turn a research direction into an AND/OR goal DAG with testable leaves, dependencies, and feasibility annotations.
required: [research_direction, constraints] optional: [actor_profile, obstacle_report, timeline, north_star] constraints: [goal wording, constraints, and source context must be explicit]
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `formulate-top-goal` to formalize the top goal and desired effect. 2. You MUST load skill `decompose-and-or-goal` to recursively construct AND/OR branches and executable leaves. 3. You MUST load skill `validate-goal-tree` to check leaf specificity, testability, coverage, and dependency consistency. 4. You MUST load skill `assess-goal-feasibility` to annotate feasibility and alternatives. 5. You MUST load skill `map-dependencies` to map the goal dependencies. You MUST load skill `crystallize-north-star` to compress the result into a North Star.
Deviation: Omit feasibility annotations when no actor, resource, or timeline constraints are supplied; mark the tree provisional rather than inventing constraints. Re-run only the affected branch after a decision changes its parent goal.
produces: [goal_tree_dag, executable_leaves, dependency_map, feasibility_annotations, research_north_star] delta_fields: [findings, hypothesis_updates, decisions, uncertainties, open_questions]
Reject trees with circular dependencies, vague leaves, or branches that cannot be tied to the declared direction. Do not treat a polished sentence as evidence that decomposition is complete.
| source | source line | kind | source criterion | |---|---:|---|---| | none retained | - | - | No source numeric/textual criterion retained after normalization. |
Append the goal DAG, leaf validation, feasibility annotations, dependency changes, and unresolved validation questions.
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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Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
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