Documentos

SDK de Compreensão de Conteúdo Azure AI para Python, usado para extração multimodal de conteúdo de documentos, imagens, áudio e vídeo.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

Systematically verifies suspected security bugs to eliminate false positives. Produces TRUE POSITIVE or FALSE POSITIVE verdicts with documented evidence for each bug.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

Publique um artefato HTML no seu Mirador (seu próprio Vercel) e obtenha um link compartilhável. Esta skill guia você pela nomeação, seleção de tema (com geração opcional de tema a partir de referência) e proteção por senha, realizando então a implantação via CLI do `vercel`.

Google Sheets: Append a row to a spreadsheet.

Scientific presentations for conferences, seminars, thesis defenses, and grant pitches. Slide design, talk structure, timing, data viz for slides, QA. PowerPoint and LaTeX Beamer. For posters use latex-research-posters.

Word (.docx) manipulation via MCP server. Use for reading, creating, editing, formatting Word documents including tables, footnotes, comments, images, headers, styles, and PDF conversion.

Design slide-deck specifications — slide budget, narrative arc, splitting rule, takeaway-led titles, body word budgets, per-slide layout from a fixed catalog. Outputs one `.md` slide-by-slide; never HTML/PDF/PPTX. Always interviews for language + core info first. Use when authoring presentation specs.

Cria relatórios clínicos abrangentes, como relatórios de caso, diagnóstico, ensaios clínicos e documentação do paciente. Oferece suporte completo com modelos, conformidade regulatória (HIPAA, FDA, ICH-GCP) e ferramentas de validação.

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

Use when converting documents between formats — HTML, Markdown, DOCX, PDF, LaTeX, EPUB, reStructuredText, Org, JIRA, CSV, Jupyter notebooks, slides, and 60+ others. Triggers: convert file, export to PDF, make a PDF, turn this into markdown, HTML to markdown, DOCX to markdown, markdown to DOCX, generate slides, create EPUB, format conversion, pandoc, document conversion. Always prefer pandoc over a