Imported from notoriouslab/doc-cleaner (SKILL.md). Install upstream with npx skills add notoriouslab/doc-cleaner. Copyright stays with the author.

doc-cleaner

Convert documents (PDF, DOCX, XLSX, TXT) to clean, structured Markdown.

When to use

• User asks to convert a document to Markdown
• User wants to extract text or tables from PDF/DOCX/XLSX files
• User wants to clean up bank statements or financial documents
• User asks to process a batch of documents in a directory

Commands

Convert a single file (no AI, fastest)

python3 {baseDir}/cleaner.py --input "{{file_path}}" --ai none

Convert a single file with AI structuring

python3 {baseDir}/cleaner.py --input "{{file_path}}" --ai gemini

Convert a single file with Groq structuring

python3 {baseDir}/cleaner.py --input "{{file_path}}" --ai groq

Convert all files in a directory

python3 {baseDir}/cleaner.py --input "{{directory}}" --ai none --output-dir "{{output_dir}}"

Preview without writing (dry run)

python3 {baseDir}/cleaner.py --input "{{file_path}}" --dry-run --verbose

Get machine-readable result summary

python3 {baseDir}/cleaner.py --input "{{file_path}}" --ai none --summary

The --summary flag prints a JSON summary to stdout after processing:

{"version":"1.0.0","total":3,"success":2,"failed":1,"files":[{"file":"report.pdf","output":"./output/report.md","status":"ok"},{"file":"scan.pdf","output":null,"status":"no_content"},{"file":"data.xlsx","output":"./output/data.md","status":"ok"}]}

Options

Supported formats

PDF (native, scanned, encrypted), DOCX, XLSX, XLS, CSV, TXT, MD

Exit codes

Notes

• Output defaults to ./output/ relative to current directory
• For scanned PDFs, AI mode (gemini, groq, or ollama) gives much better results
• --ai none requires zero API keys and zero network access
• CJK encoding (Big5, CP950, UTF-16) is auto-detected
• Tables in DOCX and XLSX are preserved as Markdown pipe tables