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Doc to markdown

Skill ComeOnOliver/skillshub/skills/daymade/claude-code-skills/doc-to-markdown

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Install
npx -y skills add ComeOnOliver/skillshub --skill doc-to-markdown

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What its author says it does

Copied from the file, not written here

Converts DOCX/PDF/PPTX to high-quality Markdown with automatic post-processing. Fixes pandoc grid tables, simple tables, image paths, CJK bold spacing, attribute noise, and code blocks. Benchmarked best-in-class (7.6/10) against Docling, MarkItDown, Pandoc raw, and Mammoth. Trigger on "convert document", "docx to markdown", "parse word", "doc to markdown", "解析word", "转换文档".

SKILL.md

6.3 KB, as published. Nobody here has run it

Doc to Markdown

Convert documents to high-quality markdown with intelligent multi-tool orchestration and automatic DOCX post-processing.

Architecture: Pandoc (best-in-class extraction) + 8 post-processing fixes (our value-add).

Quick Start

# DOCX → Markdown (one command, zero manual fixes)
uv run --with pymupdf4llm --with markitdown scripts/convert.py document.docx -o output.md --assets-dir ./media

# PDF → Markdown
uv run --with pymupdf4llm --with markitdown scripts/convert.py document.pdf -o output.md

# Run tests
uv run --with pytest pytest scripts/test_convert.py -v

Dual Mode

ModeSpeedQualityUse Case
Quick (default)FastGoodDrafts, simple documents
HeavySlowerBestFinal documents, complex layouts

Tool Selection

FormatQuick ModeHeavy Mode
PDFpymupdf4llmpymupdf4llm + markitdown
DOCXpandoc + post-processingpandoc + markitdown
PPTXmarkitdownmarkitdown + pandoc
XLSXmarkitdownmarkitdown

DOCX Post-Processing (automatic)

When converting DOCX via pandoc, 8 cleanups are applied automatically:

ProblemFixTest coverage
Grid tables (+:---+)Single-column → blockquote, multi-column → pipe tableTestPostprocessPipeline
Simple tables ( ---- ----)Multi-column images → pipe table with captionsTestSimpleTable
Image path nesting (media/media/)Flatten to media/, absolute → relativetest_stats_tracking
Pandoc attributes ({width="..."})Removedtest_pandoc_attributes_removed
CJK bold spacing (**粗体**中文)Add space around ** for CJK bold spansTestCjkBoldSpacing (15 cases)
Indented dashed code blocks→ fenced ``` with language detectiontest_code_block_with_language
Escaped brackets (\[...\])[...]test_escaped_brackets_fixed
Double-bracket links ([[text]](url))[text](url)test_double_bracket_links_fixed

CJK Bold Spacing — why and how

DOCX uses run-level styling (no spaces between bold/normal runs in CJK text). Markdown renderers need whitespace around ** to recognize bold boundaries.

Rule: if a **content** span contains any CJK character, ensure both sides have a space — unless already spaced or at line boundary. This handles CJK punctuation, emoji adjacency, and mixed content.

Before: 打开**飞书**,就可以    → some renderers fail to bold
After:  打开 **飞书** ,就可以  → universally renders correctly

Heavy Mode Workflow

Heavy Mode runs multiple tools in parallel and selects the best segments:

  1. Parallel Execution: Run all applicable tools simultaneously
  2. Segment Analysis: Parse each output into segments (tables, headings, images, paragraphs)
  3. Quality Scoring: Score each segment based on completeness and structure
  4. Intelligent Merge: Select best version of each segment across tools

Merge Criteria

Segment TypeSelection Criteria
TablesMore rows/columns, proper header separator
ImagesAlt text present, local paths preferred
HeadingsProper hierarchy, appropriate length
ListsMore items, nested structure preserved
ParagraphsContent completeness

Image Extraction

# Extract images with metadata
uv run --with pymupdf scripts/extract_pdf_images.py document.pdf -o ./assets

# Generate markdown references file
uv run --with pymupdf scripts/extract_pdf_images.py document.pdf --markdown refs.md

Output:

  • Images: assets/img_page1_1.png, assets/img_page2_1.jpg
  • Metadata: assets/images_metadata.json (page, position, dimensions)

Quality Validation

# Validate conversion quality
uv run --with pymupdf scripts/validate_output.py document.pdf output.md

# Generate HTML report
uv run --with pymupdf scripts/validate_output.py document.pdf output.md --report report.html

Quality Metrics

MetricPassWarnFail
Text Retention>95%85-95%<85%
Table Retention100%90-99%<90%
Image Retention100%80-99%<80%

Merge Outputs Manually

# Merge multiple markdown files
python scripts/merge_outputs.py output1.md output2.md -o merged.md

# Show segment attribution
python scripts/merge_outputs.py output1.md output2.md -o merged.md --verbose

Path Conversion (Windows/WSL)

# Windows to WSL conversion
python scripts/convert_path.py "C:\Users\name\Documents\file.pdf"
# Output: /mnt/c/Users/name/Documents/file.pdf

Common Issues

"No conversion tools available"

# Install all tools
pip install pymupdf4llm
uv tool install "markitdown[pdf]"
brew install pandoc

FontBBox warnings during PDF conversion

  • Harmless font parsing warnings, output is still correct

Images missing from output

  • Use Heavy Mode for better image preservation
  • Or extract separately with scripts/extract_pdf_images.py

Tables broken in output

  • Use Heavy Mode - it selects the most complete table version
  • Or validate with scripts/validate_output.py

Bundled Scripts

ScriptPurpose
convert.pyMain orchestrator with Quick/Heavy mode + DOCX post-processing
test_convert.py31 tests covering all post-processing functions
merge_outputs.pyMerge multiple markdown outputs
validate_output.pyQuality validation with HTML report
extract_pdf_images.pyPDF image extraction with metadata
convert_path.pyWindows to WSL path converter

References

  • references/benchmark-2026-03-22.md - 5-tool benchmark (Docling/MarkItDown/Pandoc/Mammoth/ours)
  • references/heavy-mode-guide.md - Detailed Heavy Mode documentation
  • references/tool-comparison.md - Tool capabilities comparison
  • references/conversion-examples.md - Batch operation examples

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