yogsoth-ai/de-anthropocentric-research-engine

define-analysis-dimensions

Identify approximately independent dimensions/axes that span the relevant problem, design, or validity space and define their semantics.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill define-analysis-dimensions

시작 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.

define-analysis-dimensions

Purpose

Define approximately independent, measurable axes that span a problem, design, or validity space.

Input contract

yaml
required: [problem_or_artifact, target_outcome, dimension_ontology]
optional: [candidate_axes, domain_constraints, measurement_plan]
constraints: [each axis has semantics, type, direction, and measurement rule; correlated axes are flagged]

Procedure

  1. Extract factors and conditions relevant to the target outcome.
  2. Group candidates into dimensions and test approximate independence.
  3. Define each dimension's domain, units, direction, and observability.
  4. Return the dimension set with exclusions and unresolved dependencies.

If each analysis dimension has a clear meaning and admissible type, consider enumerate-dimension-values as the next tactic.

Output contract

yaml
produces: [dimension_set, axis_definitions, independence_notes, coverage_scope]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • Every retained axis is independent enough for the caller's analysis and is measurable under the supplied plan.
  • Parameter-space mapping covers all dimensions relevant to assertion validity; omitted axes require a reason.
  • Do not confuse a value/level with the dimension that contains it.

Parameterization

The caller must provide the target problem, outcome, axis ontology, candidate factors, domain bounds, measurement units, and independence criterion.

Failure and counterexamples

Reject duplicate axes, dimensions with no observable values, or an independence claim unsupported by a comparison.

Provenance map

  • resolved: deep-insight/variation-axis-definition
  • resolved: stress-test/parameter-space-mapping
  • resolved: creative-ideation/parameter-identification
  • intermediate: Pass3/map-parameter-space
  • intermediate: Pass3/identify-dimensions

Preserved source criteria ledger

sourcephysical linekindsource criterion
deep-insight/variation-axis-definition14structuralIdentify orthogonal axes, ensuring they are independent, measurable, and span the parameter space.

관련 작업

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