define-analysis-dimensions
SkillMediaLets your agent break a problem into independent, measurable dimensions to structure an analysis.
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Details
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About this skill
Identify approximately independent dimensions/axes that span the relevant problem, design, or validity space and define their semantics.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/define-analysis-dimensions/SKILL.md and read by Ahel’s review.
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
- Extract factors and conditions relevant to the target outcome.
- Group candidates into dimensions and test approximate independence.
- Define each dimension's domain, units, direction, and observability.
- 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. |
Signals
- GitHub stars
- 503
- Forks
- 42
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
define-analysis-dimensions- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine