Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill define-analysis-dimensionsAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
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
- 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
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
| 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. |
