proofread — for Claude Code proofread, paper2pr, community, for Claude Code, ide skills, beamer, claude-code, paper-review, quarto, $ARGUMENTS

v1.0.0

Sobre este Skill

Cenario recomendado: Ideal for AI agents that need proofread lecture files. Resumo localizado: AI/ML Paper → Presentation-ready Beamer + Quarto slides via Claude Code multi-agent workflow # Proofread Lecture Files Run the mandatory proofreading protocol on lecture files. It covers ai-ml, beamer, claude-code workflows.

Recursos

Proofread Lecture Files
Identify files to review:
If $ARGUMENTS is a specific filename: review that file only
If $ARGUMENTS is "all": review all lecture files in Slides/ and Quarto/
For each file, launch the proofreader agent that checks for:

# Tópicos principais

alohays alohays
[5]
[0]
Atualizado: 3/26/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Cenario recomendado: Ideal for AI agents that need proofread lecture files. Resumo localizado: AI/ML Paper → Presentation-ready Beamer + Quarto slides via Claude Code multi-agent workflow # Proofread Lecture Files Run the mandatory proofreading protocol on lecture files. It covers ai-ml, beamer, claude-code workflows.

Por que usar essa habilidade

Recomendacao: proofread helps agents proofread lecture files. AI/ML Paper → Presentation-ready Beamer + Quarto slides via Claude Code multi-agent workflow # Proofread Lecture Files Run the mandatory proofreading

Melhor para

Cenario recomendado: Ideal for AI agents that need proofread lecture files.

Casos de Uso Práticos for proofread

Caso de uso: Proofread Lecture Files
Caso de uso: Identify files to review:
Caso de uso: If $ARGUMENTS is a specific filename: review that file only

! Segurança e Limitações

  • Limitacao: If $ARGUMENTS is a specific filename: review that file only
  • Limitacao: IMPORTANT: Do NOT edit any source files.
  • Limitacao: Only produce the report. Fixes are applied separately after user review.

About The Source

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Demo Labs

Browser Sandbox Environment

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Boot Container Sandbox

FAQ e etapas de instalação

These questions and steps mirror the structured data on this page for better search understanding.

? Perguntas frequentes

O que é proofread?

Cenario recomendado: Ideal for AI agents that need proofread lecture files. Resumo localizado: AI/ML Paper → Presentation-ready Beamer + Quarto slides via Claude Code multi-agent workflow # Proofread Lecture Files Run the mandatory proofreading protocol on lecture files. It covers ai-ml, beamer, claude-code workflows.

Como instalar proofread?

Execute o comando: npx killer-skills add alohays/paper2pr/proofread. Ele funciona com Cursor, Windsurf, VS Code, Claude Code e mais de 19 outros IDEs.

Quais são os casos de uso de proofread?

Os principais casos de uso incluem: Caso de uso: Proofread Lecture Files, Caso de uso: Identify files to review:, Caso de uso: If $ARGUMENTS is a specific filename: review that file only.

Quais IDEs são compatíveis com proofread?

Esta skill é compatível com Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use a CLI do Killer-Skills para uma instalação unificada.

proofread tem limitações?

Limitacao: If $ARGUMENTS is a specific filename: review that file only. Limitacao: IMPORTANT: Do NOT edit any source files.. Limitacao: Only produce the report. Fixes are applied separately after user review..

Como instalar este skill

  1. 1. Abra o terminal

    Abra o terminal ou linha de comando no diretório do projeto.

  2. 2. Execute o comando de instalação

    Execute: npx killer-skills add alohays/paper2pr/proofread. A CLI detectará sua IDE ou agente automaticamente e configurará a skill.

  3. 3. Comece a usar o skill

    O skill já está ativo. Seu agente de IA pode usar proofread imediatamente no projeto atual.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

proofread

Install proofread, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

SKILL.md
Readonly
Upstream Repository Material
The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

Proofread Lecture Files

Run the mandatory proofreading protocol on lecture files. This produces a report of all issues found WITHOUT editing any source files.

Steps

  1. Identify files to review:

    • If $ARGUMENTS is a specific filename: review that file only
    • If $ARGUMENTS is "all": review all lecture files in Slides/ and Quarto/
  2. For each file, launch the proofreader agent that checks for:

    GRAMMAR: Subject-verb agreement, articles (a/an/the), prepositions, tense consistency TYPOS: Misspellings, search-and-replace artifacts, duplicated words OVERFLOW: Overfull hbox (LaTeX), content exceeding slide boundaries (Quarto) CONSISTENCY: Citation format, notation, terminology ACADEMIC QUALITY: Informal language, missing words, awkward constructions

  3. Produce a detailed report for each file listing every finding with:

    • Location (line number or slide title)
    • Current text (what's wrong)
    • Proposed fix (what it should be)
    • Category and severity
  4. Save each report to quality_reports/:

    • For .tex files: quality_reports/FILENAME_report.md
    • For .qmd files: quality_reports/FILENAME_qmd_report.md
  5. IMPORTANT: Do NOT edit any source files. Only produce the report. Fixes are applied separately after user review.

  6. Present summary to the user:

    • Total issues found per file
    • Breakdown by category
    • Most critical issues highlighted

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