yogsoth-ai/de-anthropocentric-research-engine

define-objective

Formalize objectives, constraints, and tradeoff preferences for optimization.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill define-objective

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

define-objective

Purpose

Formalize objectives, constraints, and tradeoff preferences before an optimization or selection decision.

Input contract

yaml
required: [decision_context, candidate_set, stakeholder_preferences]
optional: [hard_constraints, utility_scale, priority_weights]
constraints: [objectives are measurable or operationalized; tradeoffs and constraint direction are explicit]

Procedure

  1. Elicit the desired outcome, affected scope, stakeholders, and time horizon.
  2. Separate objectives from constraints and preferences, then define each objective's direction and measurement.
  3. Record conflicts, permissible tradeoffs, and any weights or lexicographic priorities with their rationale.
  4. Emit an objective schema suitable for comparison, optimization, and later audit.

Output contract

yaml
produces: [objective_schema, constraint_schema, tradeoff_policy, unresolved_preferences]
delta_fields: [findings, assumption_updates, uncertainties, decisions, open_questions]

Quality gates

  • A-class gate: declared universe = all stakeholder objectives and hard constraints in scope; numerator = items operationalized with direction, measurement, and source; batch increment = one objective or constraint formalized; stopping reason = all items formalized or unresolved conflicts are explicit; source references = stakeholder, requirement, and decision IDs; direction/threshold reason = an objective enters optimization only when its direction and acceptable tradeoff boundary are explicit.
  • At least two distinct objectives and one constraint are required unless the decision record justifies a narrower scope.

Failure and counterexamples

Do not encode a preferred solution as an objective. If two stakeholders use the same word for different outcomes, preserve separate definitions.

Provenance map

  • resolved: objective-definition

Verwandte Aufgaben

aus demselben Repository

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