Skip to content
Automation
Skill

/decompose-and-or-goal

Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

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

SKILL.md

decompose-and-or-goal.SKILL.md
name: decompose-and-or-goal
description: "Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals."

decompose-and-or-goal

Purpose

Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals.

Input contract

required: [top_goal, constraints]
optional: [actor_profile, obstacle_report, existing_subgoals]
constraints: [branch semantics, dependencies, and leaf criteria must be explicit]

Procedure

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.

Output contract

produces: [goal_dag, branch_semantics, executable_leaves, dependency_edges, feasibility_questions]
delta_fields: [findings, hypothesis_updates, uncertainties, open_questions]

Quality gates

  • Every leaf traces to the top goal.
  • AND/OR labels and dependency directions are unambiguous.
  • Cycles and duplicate shared nodes are flagged.

Failure and counterexamples

Do not split prose into labels without changing testability, and do not treat alternatives as simultaneous requirements.

Provenance map

  • `resolved: north-star-crystallization-and-or-decompose`
Read more
@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.

Stars on GitHub

Momentum

stars in total
507
Star history of yogsoth-ai/de-anthropocentric-research-engine on GitHub, a chart by star-history.com

More skills from other plugins.

agent-builder

agent-builder

Load immediately after an Agent intent, before the first agent_builder_* call. Governs how you create, configure, test, and…

n8n13d209k
@n8n-io@n8n-ioInstall Skill
browser-use

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…

@browser-use@browser-useInstall Skill
agent-browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…

@vercel-labs-2@vercel-labs-2Install Skill
add-anydoc

add-anydoc

Add local office-document-to-Markdown conversion to NanoClaw agent containers with the pinned Firecrawl AnyDoc CLI. Use when…

@nanocoai@nanocoaiInstall Skill

Questions about decompose-and-or-goal.

Which coding agents can use decompose-and-or-goal?
decompose-and-or-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.