·bayesian cognitive model builder
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bayesian cognitive model builder

Guía validada por dominio para construir modelos cognitivos bayesianos jerárquicos con Stan/PyMC: especificación previa, estructura del modelo, diagnóstico MCMC y comprobaciones predictivas posteriores

9Instalaciones·1Tendencia·@haoxuanlithuai

Instalación

$npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill bayesian cognitive model builder

Cómo instalar bayesian cognitive model builder

Instala rápidamente el skill de IA bayesian cognitive model builder en tu entorno de desarrollo mediante línea de comandos

  1. Abrir Terminal: Abre tu terminal o herramienta de línea de comandos (Terminal, iTerm, Windows Terminal, etc.)
  2. Ejecutar comando de instalación: Copia y ejecuta este comando: npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill bayesian cognitive model builder
  3. Verificar instalación: Una vez instalado, el skill se configurará automáticamente en tu entorno de programación con IA y estará listo para usar en Claude Code, Cursor u OpenClaw

Fuente: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.

SKILL.md

Ver original

This skill encodes expert knowledge for building hierarchical Bayesian cognitive models using probabilistic programming languages (Stan, PyMC). It addresses the modeling decisions that require domain expertise beyond knowing Stan/PyMC syntax: how to choose priors that respect cognitive constraints, when to use hierarchical structure, how to diagnose MCMC pathologies, and how to evaluate model adequacy through post...

A competent programmer without cognitive modeling training would get wrong: which prior families are appropriate for cognitive parameters (e.g., RT must be positive, learning rates bounded in [0,1]), when partial pooling outperforms complete pooling or no pooling, how to detect non-identifiability in cognitive models, and what constitutes adequate MCMC convergence for publishable results.

This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.

Datos (listos para citar)

Campos y comandos estables para citas de IA/búsqueda.

Comando de instalación
npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill bayesian cognitive model builder
Categoría
</>Desarrollo
Verificado
Primera vez visto
2026-03-10
Actualizado
2026-03-11

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Respuestas rápidas

¿Qué es bayesian cognitive model builder?

Guía validada por dominio para construir modelos cognitivos bayesianos jerárquicos con Stan/PyMC: especificación previa, estructura del modelo, diagnóstico MCMC y comprobaciones predictivas posteriores Fuente: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.

¿Cómo instalo bayesian cognitive model builder?

Abre tu terminal o herramienta de línea de comandos (Terminal, iTerm, Windows Terminal, etc.) Copia y ejecuta este comando: npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill bayesian cognitive model builder Una vez instalado, el skill se configurará automáticamente en tu entorno de programación con IA y estará listo para usar en Claude Code, Cursor u OpenClaw

¿Dónde está el repositorio de origen?

https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills