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/decompose-research-goal

Turn a research direction into an AND/OR goal DAG with testable leaves, dependency structure, and feasibility annotations.

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de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-research-goal --agent claude-code

SKILL.md

decompose-research-goal.SKILL.md
name: decompose-research-goal
description: "Turn a research direction into an AND/OR goal DAG with testable leaves, dependency structure, and feasibility annotations."

decompose-research-goal

Purpose

Turn a research direction into an AND/OR goal DAG with testable leaves, dependencies, and feasibility annotations.

Input contract

required: [research_direction, constraints]
optional: [actor_profile, obstacle_report, timeline, north_star]
constraints: [goal wording, constraints, and source context must be explicit]

Execution protocol

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.

Output contract

produces: [goal_tree_dag, executable_leaves, dependency_map, feasibility_annotations, research_north_star]
delta_fields: [findings, hypothesis_updates, decisions, uncertainties, open_questions]

Thresholds and quality gates

  • Every leaf must be testable or executable and trace to a parent goal.
  • AND/OR semantics must be explicit; unresolved feasibility remains an uncertainty.
  • Completion requires coverage of the declared top goal, not a fixed leaf count.

Failure and counterexamples

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.

Provenance map

  • `resolved: goal-decomposition`
  • `resolved: north-star-crystallization-formulate-top-goal`
  • `resolved: north-star-crystallization-and-or-decompose`
  • `resolved: north-star-crystallization-validate-leaves`
  • `resolved: north-star-crystallization-feasibility-check`
  • `resolved: north-star-crystallization-ask-decomposition-validation`

Preserved source criteria ledger

| source | source line | kind | source criterion | |---|---:|---|---| | none retained | - | - | No source numeric/textual criterion retained after normalization. |

Context checkpoint / Delta notes

Append the goal DAG, leaf validation, feasibility annotations, dependency changes, and unresolved validation questions.

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@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

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Questions about decompose-research-goal.

Which coding agents can use decompose-research-goal?
decompose-research-goal installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.