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Skill

/define-analysis-dimensions

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

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill define-analysis-dimensions --agent claude-code

SKILL.md

define-analysis-dimensions.SKILL.md
name: define-analysis-dimensions
description: "Identify approximately independent dimensions/axes that span the relevant problem, design, or validity space and define their semantics."

define-analysis-dimensions

Purpose

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

Input contract

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

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

| source | physical line | kind | source criterion | |---|---:|---|---| | deep-insight/variation-axis-definition | 14 | structural | Identify orthogonal axes, ensuring they are independent, measurable, and span the parameter space. |

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

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Questions about define-analysis-dimensions.

Which coding agents can use define-analysis-dimensions?
define-analysis-dimensions 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.