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 plan-effect-sizeAntes 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.
plan-effect-size
Purpose
Choose effect-size estimands and conversion rules appropriate to outcomes and study design.
Input contract
yaml
required: [outcome_schema, study_designs, comparison_target]
optional: [reported_statistics, variance_rules, transformation_options]
constraints: [estimand, direction, and conversion assumptions must be explicit]Procedure
- Match each outcome and design to a valid estimand.
- Define direction, scale, variance, and required conversions.
- Record unavailable statistics and assumptions for any conversion.
- Produce a harmonized effect-size plan with incompatibilities.
If the effect measure and transformation rules are fixed, consider design-data-extraction as the next tactic.
Output contract
yaml
produces: [estimand_plan, conversion_rules, variance_requirements, incompatibility_log]
delta_fields: [decisions, assumption_updates, uncertainties, open_questions]Quality gates
- Effects are comparable only under declared assumptions.
- Conversions remain traceable to reported statistics.
Failure and counterexamples
Do not convert incompatible constructs into a common effect size merely to increase sample size.
Provenance map
resolved: effect-size-planning
