القائمة
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/claude-office-skills/skills --skill pdf-to-docxيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Analyze contracts for risks, check completeness, and provide actionable recommendations. Supports employment contracts, NDAs, service agreements, and more.
MCP server with 39 tools for Word, Excel, PowerPoint, PDF, OCR operations
Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | pdf-to-docx |
| description | Convert PDF files to editable Word documents using pdf2docx |
| version | 1.0 |
| author | claude-office-skills |
| license | MIT |
| category | |
| tags | ["pdf","docx","conversion"] |
| department | All |
| models | {"recommended":["claude-sonnet-4","claude-opus-4"],"compatible":["claude-3-5-sonnet","gpt-4","gpt-4o"]} |
| mcp | {"server":"office-mcp","tools":["pdf_to_docx"]} |
| capabilities | ["format_conversion","editable_documents"] |
| languages | ["en","zh"] |
This skill enables conversion from PDF to editable Word documents using pdf2docx - a Python library that preserves layout, tables, images, and text formatting. Unlike OCR-based solutions, pdf2docx extracts native PDF content for accurate conversion.
Example prompts:
from pdf2docx import Converter
# Basic conversion
cv = Converter('input.pdf')
cv.convert('output.docx')
cv.close()
# Or using context manager
with Converter('input.pdf') as cv:
cv.convert('output.docx')
from pdf2docx import Converter
cv = Converter('input.pdf')
# Full document
cv.convert('output.docx')
# Specific pages (0-indexed)
cv.convert('output.docx', start=0, end=5)
# Single page
cv.convert('output.docx', pages=[0])
# Multiple specific pages
cv.convert('output.docx', pages=[0, 2, 4])
cv.close()
from pdf2docx import Converter
cv = Converter()
cv.convert(
,
start=,
end=,
pages=,
password=,
min_section_height=,
connected_border_tolerance=,
line_overlap_threshold=,
line_break_width_ratio=,
line_break_free_space_ratio=,
line_separate_threshold=,
new_paragraph_free_space_ratio=,
float_image_ignorable_gap=,
page_margin_factor_top=,
page_margin_factor_bottom=,
)
cv.close()
# Works best with native PDFs
cv = Converter('native_pdf.pdf')
cv.convert('output.docx')
cv.close()
# For scanned PDFs, use OCR first
# pdf2docx works best with native text PDFs
# Consider using pytesseract or PaddleOCR first
import pytesseract
from pdf2image import convert_from_path
# Convert PDF pages to images
images = convert_from_path('scanned.pdf')
# OCR each page
text = ''
for img in images:
text += pytesseract.image_to_string(img)
# Then create Word document from text
from pdf2docx import Converter
import os
def pdf_to_word(pdf_path, output_path=None, pages=None):
"""Convert PDF to Word document."""
if output_path is None:
output_path = pdf_path.replace('.pdf', '.docx')
cv = Converter(pdf_path)
if pages:
cv.convert(output_path, pages=pages)
else:
cv.convert(output_path)
cv.close()
return output_path
# Usage
result = pdf_to_word('document.pdf')
print(f"Created: {result}")
from pdf2docx import Converter
from pathlib import Path
from concurrent.futures import ThreadPoolExecutor
def convert_single(pdf_path, output_dir):
"""Convert single PDF to Word."""
output_path = output_dir / pdf_path.with_suffix('.docx').name
try:
cv = Converter(str(pdf_path))
cv.convert(str(output_path))
cv.close()
return f"Success: {pdf_path.name}"
except Exception as e:
return f"Error: {pdf_path.name} - {e}"
def batch_convert(input_dir, output_dir, max_workers=4):
"""Convert all PDFs in directory."""
input_path = Path(input_dir)
output_path = Path(output_dir)
output_path.mkdir(exist_ok=True)
pdf_files = list(input_path.glob('*.pdf'))
with ThreadPoolExecutor(max_workers=max_workers) as executor:
futures = [
executor.submit(convert_single, pdf, output_path)
for pdf in pdf_files
]
for future in futures:
print(future.result())
batch_convert('./pdfs', './word_docs')
from pdf2docx import Converter
def analyze_pdf(pdf_path):
"""Analyze PDF structure before conversion."""
cv = Converter(pdf_path)
for i, page in enumerate(cv.pages):
print(f"Page {i+1}:")
print(f" Size: {page.width} x {page.height}")
print(f" Blocks: {len(page.blocks)}")
for block in page.blocks:
if hasattr(block, 'text'):
print(f" Text block: {block.text[:50]}...")
elif hasattr(block, 'image'):
print(f" Image block")
cv.close()
analyze_pdf('document.pdf')
from pdf2docx import Converter
def convert_with_progress(pdf_path, output_path):
"""Convert PDF with progress tracking."""
cv = Converter(pdf_path)
total_pages = len(cv.pages)
print(f"Converting {total_pages} pages...")
for i in range(total_pages):
cv.convert(output_path, start=i, end=i+1)
progress = (i + 1) / total_pages * 100
print(f"Progress: {progress:.1f}%")
cv.close()
print("Conversion complete!")
from pdf2docx import Converter
from docx import Document
def extract_tables_to_word(pdf_path, output_path):
"""Extract only tables from PDF to Word."""
cv = Converter(pdf_path)
# First do full conversion
temp_path = 'temp_full.docx'
cv.convert(temp_path)
cv.close()
# Open and extract tables
doc = Document(temp_path)
new_doc = Document()
for table in doc.tables:
# Copy table to new document
new_table = new_doc.add_table(rows=0, cols=len(table.columns))
for row in table.rows:
new_row = new_table.add_row()
for i, cell in enumerate(row.cells):
new_row.cells[i].text = cell.text
new_doc.add_paragraph() # Add spacing
new_doc.save(output_path)
os.remove(temp_path)
from pdf2docx import Converter
import os
def convert_contract(pdf_path):
"""Convert contract PDF to editable Word with metadata."""
# Define output path
base_name = os.path.splitext(pdf_path)[0]
output_path = f"{base_name}_editable.docx"
# Convert
cv = Converter(pdf_path)
# Check page count
page_count = len(cv.pages)
print(f"Processing {page_count} pages...")
# Convert all pages
cv.convert(output_path)
cv.close()
print(f"Created: {output_path}")
print(f"File size: {os.path.getsize(output_path) / 1024:.1f} KB")
return output_path
# Usage
result = convert_contract('contract.pdf')
from pdf2docx import Converter
def convert_selected_pages(pdf_path, page_ranges, output_path):
"""Convert specific page ranges to Word.
page_ranges: List of tuples like [(1, 3), (5, 7)] for pages 1-3 and 5-7
"""
cv = Converter(pdf_path)
# Convert pages (0-indexed internally)
all_pages = []
for start, end in page_ranges:
all_pages.extend(range(start - 1, end)) # Convert to 0-indexed
cv.convert(output_path, pages=all_pages)
cv.close()
print(f"Converted pages: {page_ranges}")
return output_path
# Convert pages 1-5 and 10-15
convert_selected_pages(
'long_document.pdf',
[(1, 5), (10, 15)],
'selected_pages.docx'
)
from pdf2docx import Converter
from docx import Document
def pdf_to_template(pdf_path, output_path):
"""Convert PDF report to Word template with placeholders."""
# Convert PDF to Word
cv = Converter(pdf_path)
cv.convert(output_path)
cv.close()
# Open and add placeholder fields
doc = Document(output_path)
# Replace common fields with placeholders
replacements = {
'Company Name': '[COMPANY_NAME]',
'Date:': 'Date: [DATE]',
'Prepared by:': 'Prepared by: [AUTHOR]',
}
for para in doc.paragraphs:
for old, new in replacements.items():
if old in para.text:
para.text = para.text.replace(old, new)
# Also check tables
for table in doc.tables:
for row in table.rows:
for cell in row.cells:
for old, new in replacements.items():
if old in cell.text:
cell.text = cell.text.replace(old, new)
doc.save(output_path)
print(f"Template created: {output_path}")
pdf_to_template('annual_report.pdf', 'report_template.docx')
from pdf2docx import Converter
from pathlib import Path
import json
def process_invoices(input_folder, output_folder):
"""Convert PDF invoices to editable Word documents."""
input_path = Path(input_folder)
output_path = Path(output_folder)
output_path.mkdir(exist_ok=True)
results = []
for pdf_file in input_path.glob('*.pdf'):
output_file = output_path / pdf_file.with_suffix('.docx').name
try:
cv = Converter(str(pdf_file))
cv.convert(str(output_file))
cv.close()
results.append({
'file': pdf_file.name,
'status': 'success',
'output': str(output_file)
})
except Exception as e:
results.append({
'file': pdf_file.name,
'status': 'error',
'error': str(e)
})
# Save results log
with open(output_path / 'conversion_log.json', 'w') as f:
json.dump(results, f, indent=2)
# Summary
success = sum(1 for r in results if r['status'] == 'success')
print(f"Converted {success}/{len(results)} files")
return results
results = process_invoices('./invoices_pdf', './invoices_word')
pip install pdf2docx
# For image handling
pip install Pillow