Skill · em Dados, IA e pesquisa

markitdown

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

Procedência

Antes de instalar

13 arquivos · 99,9 KB · inclui 3 scripts que executam: scripts/batch_convert.py, scripts/convert_literature.py, scripts/convert_with_ai.py

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/markitdown/.

d=".claude/skills/markitdown"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/markitdown"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/assets/example_usage.md" "$u/assets/example_usage.md" \
  -o "$d/INSTALLATION_GUIDE.md" "$u/INSTALLATION_GUIDE.md" \
  -o "$d/LICENSE.txt" "$u/LICENSE.txt" \
  -o "$d/OPENROUTER_INTEGRATION.md" "$u/OPENROUTER_INTEGRATION.md" \
  -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \
  -o "$d/README.md" "$u/README.md" \
  -o "$d/references/api_reference.md" "$u/references/api_reference.md" \
  -o "$d/references/file_formats.md" "$u/references/file_formats.md" \
  -o "$d/scripts/batch_convert.py" "$u/scripts/batch_convert.py" \
  -o "$d/scripts/convert_literature.py" "$u/scripts/convert_literature.py" \
  -o "$d/scripts/convert_with_ai.py" "$u/scripts/convert_with_ai.py" \
  -o "$d/SKILL_SUMMARY.md" "$u/SKILL_SUMMARY.md"

Global: instala em ~/.claude/skills/markitdown/.

d="$HOME/.claude/skills/markitdown"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/markitdown"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/assets/example_usage.md" "$u/assets/example_usage.md" \
  -o "$d/INSTALLATION_GUIDE.md" "$u/INSTALLATION_GUIDE.md" \
  -o "$d/LICENSE.txt" "$u/LICENSE.txt" \
  -o "$d/OPENROUTER_INTEGRATION.md" "$u/OPENROUTER_INTEGRATION.md" \
  -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \
  -o "$d/README.md" "$u/README.md" \
  -o "$d/references/api_reference.md" "$u/references/api_reference.md" \
  -o "$d/references/file_formats.md" "$u/references/file_formats.md" \
  -o "$d/scripts/batch_convert.py" "$u/scripts/batch_convert.py" \
  -o "$d/scripts/convert_literature.py" "$u/scripts/convert_literature.py" \
  -o "$d/scripts/convert_with_ai.py" "$u/scripts/convert_with_ai.py" \
  -o "$d/SKILL_SUMMARY.md" "$u/SKILL_SUMMARY.md"

Codex

Neste projeto: instala em .agents/skills/markitdown/.

d=".agents/skills/markitdown"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/markitdown"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/assets/example_usage.md" "$u/assets/example_usage.md" \
  -o "$d/INSTALLATION_GUIDE.md" "$u/INSTALLATION_GUIDE.md" \
  -o "$d/LICENSE.txt" "$u/LICENSE.txt" \
  -o "$d/OPENROUTER_INTEGRATION.md" "$u/OPENROUTER_INTEGRATION.md" \
  -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \
  -o "$d/README.md" "$u/README.md" \
  -o "$d/references/api_reference.md" "$u/references/api_reference.md" \
  -o "$d/references/file_formats.md" "$u/references/file_formats.md" \
  -o "$d/scripts/batch_convert.py" "$u/scripts/batch_convert.py" \
  -o "$d/scripts/convert_literature.py" "$u/scripts/convert_literature.py" \
  -o "$d/scripts/convert_with_ai.py" "$u/scripts/convert_with_ai.py" \
  -o "$d/SKILL_SUMMARY.md" "$u/SKILL_SUMMARY.md"

Global: instala em ~/.agents/skills/markitdown/.

d="$HOME/.agents/skills/markitdown"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/markitdown"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/assets/example_usage.md" "$u/assets/example_usage.md" \
  -o "$d/INSTALLATION_GUIDE.md" "$u/INSTALLATION_GUIDE.md" \
  -o "$d/LICENSE.txt" "$u/LICENSE.txt" \
  -o "$d/OPENROUTER_INTEGRATION.md" "$u/OPENROUTER_INTEGRATION.md" \
  -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \
  -o "$d/README.md" "$u/README.md" \
  -o "$d/references/api_reference.md" "$u/references/api_reference.md" \
  -o "$d/references/file_formats.md" "$u/references/file_formats.md" \
  -o "$d/scripts/batch_convert.py" "$u/scripts/batch_convert.py" \
  -o "$d/scripts/convert_literature.py" "$u/scripts/convert_literature.py" \
  -o "$d/scripts/convert_with_ai.py" "$u/scripts/convert_with_ai.py" \
  -o "$d/SKILL_SUMMARY.md" "$u/SKILL_SUMMARY.md"

Antigravity

Neste projeto: instala em .agents/skills/markitdown/.

d=".agents/skills/markitdown"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/markitdown"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/assets/example_usage.md" "$u/assets/example_usage.md" \
  -o "$d/INSTALLATION_GUIDE.md" "$u/INSTALLATION_GUIDE.md" \
  -o "$d/LICENSE.txt" "$u/LICENSE.txt" \
  -o "$d/OPENROUTER_INTEGRATION.md" "$u/OPENROUTER_INTEGRATION.md" \
  -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \
  -o "$d/README.md" "$u/README.md" \
  -o "$d/references/api_reference.md" "$u/references/api_reference.md" \
  -o "$d/references/file_formats.md" "$u/references/file_formats.md" \
  -o "$d/scripts/batch_convert.py" "$u/scripts/batch_convert.py" \
  -o "$d/scripts/convert_literature.py" "$u/scripts/convert_literature.py" \
  -o "$d/scripts/convert_with_ai.py" "$u/scripts/convert_with_ai.py" \
  -o "$d/SKILL_SUMMARY.md" "$u/SKILL_SUMMARY.md"

Global: instala em ~/.gemini/antigravity-cli/skills/markitdown/.

d="$HOME/.gemini/antigravity-cli/skills/markitdown"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/markitdown"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/assets/example_usage.md" "$u/assets/example_usage.md" \
  -o "$d/INSTALLATION_GUIDE.md" "$u/INSTALLATION_GUIDE.md" \
  -o "$d/LICENSE.txt" "$u/LICENSE.txt" \
  -o "$d/OPENROUTER_INTEGRATION.md" "$u/OPENROUTER_INTEGRATION.md" \
  -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \
  -o "$d/README.md" "$u/README.md" \
  -o "$d/references/api_reference.md" "$u/references/api_reference.md" \
  -o "$d/references/file_formats.md" "$u/references/file_formats.md" \
  -o "$d/scripts/batch_convert.py" "$u/scripts/batch_convert.py" \
  -o "$d/scripts/convert_literature.py" "$u/scripts/convert_literature.py" \
  -o "$d/scripts/convert_with_ai.py" "$u/scripts/convert_with_ai.py" \
  -o "$d/SKILL_SUMMARY.md" "$u/SKILL_SUMMARY.md"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.markitdown

Prévia do SKILL.md

---
name: markitdown
description: "Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more."
allowed-tools: [Read, Write, Edit, Bash]
license: MIT
source: https://github.com/microsoft/markitdown
---

# MarkItDown - File to Markdown Conversion

## Overview

MarkItDown is a Python tool developed by Microsoft for converting various file formats to Markdown. It's particularly useful for converting documents into LLM-friendly text format, as Markdown is token-efficient and well-understood by modern language models.

**Key Benefits**:
- Convert documents to clean, structured Markdown
- Token-efficient format for LLM processing
- Supports 15+ file formats
- Optional AI-enhanced image descriptions
- OCR for images and scanned documents
- Speech transcription for audio files

## Visual Enhancement with Scientific Schematics

**When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.**

If your document does not already contain schematics or diagrams:
- Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams
- Simply describe your desired diagram in natural language
- Nano Banana Pro will automatically generate, review, and refine the schematic

**For new documents:** Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.

**How to generate schematics:**
```bash
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
```

The AI will automatically:
- Create publication-quality images with proper formatting
…

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