Cómo usar
- Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
- Consulta las herramientas, credenciales y entornos necesarios en el documento original.
- Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill define-objectiveAntes de empezar
- La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
- Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill
Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.
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
- Elicit the desired outcome, affected scope, stakeholders, and time horizon.
- Separate objectives from constraints and preferences, then define each objective's direction and measurement.
- Record conflicts, permissible tradeoffs, and any weights or lexicographic priorities with their rationale.
- 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
