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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.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill define-analysis-dimensions --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/define-analysis-dimensions

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

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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