daymade/claude-code-skills

doc-to-markdown

Converts DOCX/PDF/PPTX to high-quality Markdown with automatic post-processing.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/daymade/claude-code-skills --skill doc-to-markdown

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

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

bash
# 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

PDF Post-Processing (automatic, 2026-08-30 起)

When converting PDF via pymupdf4llm, 3 cleanups are applied automatically (skip with --no-postprocess):

ProblemFixTest coverage
Tesseract OCR garbage on image regions (<!-- Start of picture text -->...)Block removed; images themselves keptTestStripOcrPictureText
Repeated header/footer/watermark lines (same normalized line on ≥60% of pages, incl. diagonal watermarks)Detected via pymupdf cross-page scan, removed from markdown; bold-wrapped and merged-with-page-number variants also caughtTestRepeatingLines
Absolute image paths (![](/abs/tmp/assets/...))Rewritten relative to the output markdown file (portable output)TestImagePathsRelative

Heavy mode additionally prints a loud ⚠️ HEAVY MODE DEGRADED warning on stderr when one engine fails and the merge would otherwise silently degrade to single-engine output.

Known limits (learned from a 62-page Chinese research-report conversion, 2026-08-30):

  • pymupdf4llm may emit duplicated paragraphs (source text layer has only one copy) — not auto-fixed; spot-check.
  • Dotted TOC pages get detected as tables — rewrite the TOC manually if it matters.
  • Cross-page tables are NOT merged (each page's fragment keeps its own header row) — merge manually.
  • Table cells overlapped by diagonal watermarks can contain watermark character shards (dn, uFE, ...); the repeating-line stripper removes full lines only, not intra-cell shards. Watermark-heavy PDFs need cell-level rebuild (collect non-watermark spans per cell bbox).
  • Complex infographics (dense in-image text) come out as images only; transcribing in-image text needs a VLM pass, not this tool.

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

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

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

Output:

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

Quality Validation

bash
# 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

bash
# 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)

bash
# Windows to WSL conversion
python scripts/convert_path.py "C:\Users\<windows-user>\Documents\file.pdf"
# Output: /mnt/c/Users/<windows-user>/Documents/file.pdf

Common Issues

"No conversion tools available"

bash
# 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

Next Step: Clean Up Converted Content

After converting documents to markdown, suggest cleanup:

Conversion complete: [N] files converted to markdown.

Options:
A) Clean up docs — run /daymade-docs:docs-cleaner to consolidate redundant content (Recommended if multiple files)
B) Check facts — run /fact-checker to verify claims in the converted content
C) No thanks — the markdown conversion is sufficient

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