| name | file-converter |
| version | 1.0.0 |
| description | This skill provides comprehensive file format conversion capabilities. It should be used when users need to convert files between different formats, including PDF to Word, Word to PDF, image format conversions (PNG/JPG/WebP/BMP/GIF/TIFF), and Excel/CSV bidirectional conversion. Supports both single file and batch processing. Trigger keywords: 转换, convert, 格式转换, PDF转Word, Word转PDF, 图片转换, Excel转CSV, CSV转Excel.
|
File Converter Skill
A comprehensive file format conversion toolkit supporting documents, images, and spreadsheets.
When to Use
Activate this skill when any of these scenarios occur:
- Document conversion: User wants to convert between PDF and Word formats
- Image conversion: User needs images in a different format (PNG→JPG, JPG→WebP, etc.)
- Spreadsheet conversion: User needs to exchange data between Excel and CSV
- Batch operations: User has multiple files that need converting at once
- Format queries: User asks about supported formats or how to convert specific file types
Supported Conversions
| Source Format | Target Format | Script | Notes |
|---|
.pdf | .docx | scripts/pdf_to_word.py | Extracts text, tables, layout |
.docx, .doc | .pdf | scripts/word_to_pdf.py | Requires MS Word on Windows |
| PNG/JPEG/WebP/BMP/GIF/TIFF | Any other image format | scripts/image_converter.py | Quality control, resize support |
.csv | .xlsx | scripts/excel_csv_converter.py | Custom delimiter/encoding |
.xlsx, .xls | .csv | scripts/excel_csv_converter.py | Multi-sheet support |
Prerequisites
Python Dependencies
Install required packages before first use:
pip install Pillow pdf2docx docx2pdf openpyxl xlrd
Quick install command:
pip install Pillow pdf2docx docx2pdf openpyxl xlrd
Platform-Specific Requirements
- Word → PDF (Windows): Microsoft Word must be installed (
docx2pdf uses COM automation)
- PDF → Word: No external software required; uses
pdf2docx
- Image conversion: Uses
Pillow only, works on all platforms
Workflow Guidelines
Step 1: Identify Conversion Type
Determine what the user wants to convert:
User says "convert this PDF" → PDF to Word
User says "turn this into PDF" → Word to PDF
User says "change this PNG to JPG" → Image conversion
User says "export this Excel as CSV" → Excel to CSV
Step 2: Check Dependencies
Before running any script, verify required packages are installed:
python -c "import PIL; import pdf2docx; import docx2pdf; import openpyxl"
If imports fail, prompt user to run:
pip install Pillow pdf2docx docx2pdf openpyxl xlrd
Step 3: Execute Appropriate Script
PDF → Word
Single file:
python scripts/pdf_to_word.py <input.pdf> [output.docx]
Batch mode:
python scripts/pdf_to_word.py --batch ./pdf_folder --output-dir ./output_folder
Options:
--start N: Start from page N (default: 0)--end N: End at page N (default: all pages)
Word → PDF
Single file:
python scripts/word_to_pdf.py <input.docx> [output.pdf]
Batch mode:
python scripts/word_to_pdf.py --batch ./docs_folder --output-dir ./pdfs_folder
Check requirements:
python scripts/word_to_pdf.py --check
Image Format Conversion
Single file:
python scripts/image_converter.py <input_image> --format <target_format>
Batch mode:
python scripts/image_converter.py --batch ./images_dir --format webp --output-dir ./webp_dir
Target formats: png, jpg/jpeg, webp, bmp, gif, tiff/tif
Options:
-q/--quality N: Quality for lossy formats (1-100, default: 95)--resize WIDTH HEIGHT: Resize dimensions--no-optimize: Disable optimization--info: Display image info without converting
Examples:
python scripts/image_converter.py photo.png --format jpg -q 90
python scripts/image_converter.py photo.png --format webp -q 80
python scripts/image_converter.py large.png --format jpg --resize 1920 1080
python scripts/image_converter.py image.png --info
Excel ↔ CSV
CSV → Excel:
python scripts/excel_csv_converter.py data.csv --format xlsx [options]
Excel → CSV:
python scripts/excel_csv_converter.py data.xlsx --format csv [options]
Batch mode:
python scripts/excel_csv_converter.py --batch ./data_dir --format csv
Options:
-d/--delimiter CHAR: Custom separator (default: comma)-e/--encoding ENC: File encoding (default: utf-8)--sheet NAME: Specific sheet name (Excel→CSV)--sheet-name NAME: Output sheet name (CSV→Excel)--no-header: Skip header row--info: Show Excel structure info
Examples:
python scripts/excel_csv_converter.py data.csv --format xlsx -d ";"
python scripts/excel_csv_converter.py data.xlsx --format csv -e gbk
python scripts/excel_csv_converter.py workbook.xlsx --format csv -s "Sales Report"
python scripts/excel_csv_converter.py data.xlsx --info
Step 4: Verify Results
After each conversion:
- Confirm output file(s) exist at expected location(s)
- Report file sizes to user (original vs converted)
- For batch operations, report success count vs total count
- If errors occurred, summarize them clearly
Error Handling
Common Issues and Solutions
| Error | Cause | Solution |
|---|
ModuleNotFoundError | Missing package | Run pip install <package> |
COMError (Word→PDF) | MS Word not installed | Install MS Office or use alternative |
UnicodeDecodeError | Wrong encoding | Specify correct --encoding |
FileNotFoundError | Wrong path | Verify input path is absolute or relative correctly |
| Permission denied | Read-only directory | Use writable output directory |
Encoding Guide
When dealing with non-UTF-8 files, common encodings:
- Chinese Windows:
gbk / gb18030
- Western Europe:
latin-1 / cp1252
- Japanese:
shift-jis / cp932
- Auto-detect: Try
utf-8 first, then fallback
Best Practices
- Always use absolute paths when calling scripts to avoid path confusion
- Create output directories before batch operations if they don't exist
- Check dependencies once at start of session, not before every call
- Report results clearly with file paths, sizes, and success/failure counts
- Handle transparency appropriately — JPEG doesn't support alpha channels
- Preserve quality defaults are high (95%) but adjust based on use case
