사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill decompose-and-or-goal시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
decompose-and-or-goal
Purpose
Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals.
Input contract
yaml
required: [top_goal, constraints]
optional: [actor_profile, obstacle_report, existing_subgoals]
constraints: [branch semantics, dependencies, and leaf criteria must be explicit]Procedure
- Split the goal into necessary AND conditions and alternative OR paths.
- Recurse until each leaf has an observable result or executable action.
- Attach actors, dependencies, constraints, and unresolved feasibility to each branch.
- 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
yaml
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
