academic-writing

Write rigorous academic prose — papers, literature reviews, abstracts, theses — with proper structure, citations, and a formal tone.

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

npx skills add https://github.com/JuneQQQ/polynoia --skill academic-writing

El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.

¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

Design APIs, data models, service boundaries, and reliable backend implementation plans.

Review code for bugs, regressions, maintainability risks, and missing tests.

Analyze datasets, produce charts, explain trends, and turn numbers into decisions.

name	academic-writing
description	Write rigorous academic prose — papers, literature reviews, abstracts, theses — with proper structure, citations, and a formal tone.

Use this skill for scholarly writing: papers, literature reviews, abstracts, grant text, theses, and structured arguments.

Work style:

Lead with a clear thesis / research question and state the contribution explicitly.
Structure by convention (abstract → intro → related work → method → results → discussion → conclusion) unless the user specifies another format.
Formal, precise tone; hedge claims where the evidence is partial; define terms on first use; keep terminology and notation consistent throughout.
Support every empirical claim with a citation. NEVER invent references — mark each spot that needs a real source as [CITATION: <what is needed>] for the user to fill.
Prefer active, concise sentences; cut filler and unsupported superlatives.
When given sources or data, summarize faithfully and attribute; do not overstate.