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Get Started Free →PDF manipulation toolkit. Extract text/tables, create PDFs, merge/split, fill forms, for programmatic document processing and analysis.
.claude/skills/microck-pdf/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-09 | ✗→✓ | ▲ Improved | -26% | 0% |
| case-23 | ✗→✓ | ▲ Improved | -25% | 0% |
| case-20 | ✓→✗ | ▼ Worse | 195% | 0% |
| case-22 | ✓→✓ | = Same ✓ | 91% | 0% |
| case-02 | ✓→✓ | = Same ✓ | 143% | 0% |
Extract text/tables, create PDFs, merge/split files, fill forms using Python libraries and command-line tools. Apply this skill for programmatic document processing and analysis. For advanced features or form filling, consult reference.md and forms.md.
pythonfrom pypdf import PdfReader, PdfWriter # Read a PDF reader = PdfReader("document.pdf") print(f"Pages: {len(reader.pages)}") # Extract text text = "" for page in reader.pages: text += page.extract_text()
pythonfrom pypdf import PdfWriter, PdfReader writer = PdfWriter() for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]: reader = PdfReader(pdf_file) for page in reader.pages: writer.add_page(page) with open("merged.pdf", "wb") as output: writer.write(output)
pythonreader = PdfReader("input.pdf") for i, page in enumerate(reader.pages): writer = PdfWriter() writer.add_page(page) with open(f"page_{i+1}.pdf", "wb") as output: writer.write(output)
pythonreader = PdfReader("document.pdf") meta = reader.metadata print(f"Title: {meta.title}") print(f"Author: {meta.author}") print(f"Subject: {meta.subject}") print(f"Creator: {meta.creator}")
pythonreader = PdfReader("input.pdf") writer = PdfWriter() page = reader.pages[0] page.rotate(90) # Rotate 90 degrees clockwise writer.add_page(page) with open("rotated.pdf", "wb") as output: writer.write(output)
pythonimport pdfplumber with pdfplumber.open("document.pdf") as pdf: for page in pdf.pages: text = page.extract_text() print(text)
pythonwith pdfplumber.open("document.pdf") as pdf: for i, page in enumerate(pdf.pages): tables = page.extract_tables() for j, table in enumerate(tables): print(f"Table {j+1} on page {i+1}:") for row in table: print(row)
pythonimport pandas as pd with pdfplumber.open("document.pdf") as pdf: all_tables = [] for page in pdf.pages: tables = page.extract_tables() for table in tables: if table: # Check if table is not empty df = pd.DataFrame(table[1:], columns=table[0]) all_tables.append(df) # Combine all tables if all_tables: combined_df = pd.concat(all_tables, ignore_index=True) combined_df.to_excel("extracted_tables.xlsx", index=False)
pythonfrom reportlab.lib.pagesizes import letter from reportlab.pdfgen import canvas c = canvas.Canvas("hello.pdf", pagesize=letter) width, height = letter # Add text c.drawString(100, height - 100, "Hello World!") c.drawString(100, height - 120, "This is a PDF created with reportlab") # Add a line c.line(100, height - 140, 400, height - 140) # Save c.save()
pythonfrom reportlab.lib.pagesizes import letter from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak from reportlab.lib.styles import getSampleStyleSheet doc = SimpleDocTemplate("report.pdf", pagesize=letter) styles = getSampleStyleSheet() story = [] # Add content title = Paragraph("Report Title", styles['Title']) story.append(title) story.append(Spacer(1, 12)) body = Paragraph("This is the body of the report. " * 20, styles['Normal']) story.append(body) story.append(PageBreak()) # Page 2 story.append(Paragraph("Page 2", styles['Heading1'])) story.append(Paragraph("Content for page 2", styles['Normal'])) # Build PDF doc.build(story)
bash# Extract text pdftotext input.pdf output.txt # Extract text preserving layout pdftotext -layout input.pdf output.txt # Extract specific pages pdftotext -f 1 -l 5 input.pdf output.txt # Pages 1-5
bash# Merge PDFs qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf # Split pages qpdf input.pdf --pages . 1-5 -- pages1-5.pdf qpdf input.pdf --pages . 6-10 -- pages6-10.pdf # Rotate pages qpdf input.pdf output.pdf --rotate=+90:1 # Rotate page 1 by 90 degrees # Remove password qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf
bash# Merge pdftk file1.pdf file2.pdf cat output merged.pdf # Split pdftk input.pdf burst # Rotate pdftk input.pdf rotate 1east output rotated.pdf
python# Requires: uv pip install pytesseract pdf2image import pytesseract from pdf2image import convert_from_path # Convert PDF to images images = convert_from_path('scanned.pdf') # OCR each page text = "" for i, image in enumerate(images): text += f"Page {i+1}:\n" text += pytesseract.image_to_string(image) text += "\n\n" print(text)
pythonfrom pypdf import PdfReader, PdfWriter # Create watermark (or load existing) watermark = PdfReader("watermark.pdf").pages[0] # Apply to all pages reader = PdfReader("document.pdf") writer = PdfWriter() for page in reader.pages: page.merge_page(watermark) writer.add_page(page) with open("watermarked.pdf", "wb") as output: writer.write(output)
bash# Using pdfimages (poppler-utils) pdfimages -j input.pdf output_prefix # This extracts all images as output_prefix-000.jpg, output_prefix-001.jpg, etc.
pythonfrom pypdf import PdfReader, PdfWriter reader = PdfReader("input.pdf") writer = PdfWriter() for page in reader.pages: writer.add_page(page) # Add password writer.encrypt("userpassword", "ownerpassword") with open("encrypted.pdf", "wb") as output: writer.write(output)
| Task | Best Tool | Command/Code | |------|-----------|--------------| | Merge PDFs | pypdf | writer.add_page(page) | | Split PDFs | pypdf | One page per file | | Extract text | pdfplumber | page.extract_text() | | Extract tables | pdfplumber | page.extract_tables() | | Create PDFs | reportlab | Canvas or Platypus | | Command line merge | qpdf | qpdf --empty --pages ... | | OCR scanned PDFs | pytesseract | Convert to image first | | Fill PDF forms | pdf-lib or pypdf (see forms.md) | See forms.md |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-22 | pass→pass | 8,694 | 6,047 | -30% | 1 | 1 | 0% | 1,657 | 3,170 | +91% | 0 | 0 | — |
case-01 | fail→fail | 5,486 | 4,222 | -23% | 1 | 1 | 0% | 1,006 | 2,853 | +184% | 0 | 0 | — |
case-02 | pass→pass | 5,832 | 3,756 | -36% | 1 | 1 | 0% | 1,137 | 2,767 | +143% | 0 | 0 | — |
case-03 | pass→pass | 5,759 | 2,889 | -50% | 1 | 1 | 0% | 994 | 2,527 | +154% | 0 | 0 | — |
case-04 | pass→pass | 5,577 | 4,730 | -15% | 1 | 1 | 0% | 1,057 | 2,919 | +176% | 0 | 0 | — |
case-05 | pass→pass | 11,462 | 4,811 | -58% | 1 | 1 | 0% | 1,876 | 2,930 | +56% | 0 | 0 | — |
case-06 | pass→pass | 9,495 | 4,107 | -57% | 1 | 1 | 0% | 1,797 | 2,667 | +48% | 0 | 0 | — |
case-07 | pass→pass | 10,725 | 5,249 | -51% | 1 | 1 | 0% | 1,993 | 2,936 | +47% | 0 | 0 | — |
case-08 | pass→pass | 16,070 | 4,726 | -71% | 1 | 1 | 0% | 3,416 | 3,001 | -12% | 0 | 0 | — |
case-09 | fail→pass | 28,230 | 11,208 | -60% | 1 | 1 | 0% | 6,174 | 4,564 | -26% | 0 | 0 | — |
case-10 | pass→pass | 3,841 | 2,077 | -46% | 1 | 1 | 0% | 615 | 2,368 | +285% | 0 | 0 | — |
case-11 | pass→pass | 2,408 | 2,324 | -3% | 1 | 1 | 0% | 439 | 2,464 | +461% | 0 | 0 | — |
case-12 | pass→pass | 3,441 | 2,700 | -22% | 1 | 1 | 0% | 551 | 2,485 | +351% | 0 | 0 | — |
case-13 | pass→pass | 4,355 | 2,866 | -34% | 1 | 1 | 0% | 750 | 2,520 | +236% | 0 | 0 | — |
case-14 | pass→pass | 3,449 | 2,687 | -22% | 1 | 1 | 0% | 568 | 2,497 | +340% | 0 | 0 | — |
case-15 | pass→pass | 2,407 | 1,489 | -38% | 1 | 1 | 0% | 395 | 2,248 | +469% | 0 | 0 | — |
case-16 | pass→pass | 3,040 | 2,394 | -21% | 1 | 1 | 0% | 516 | 2,442 | +373% | 0 | 0 | — |
case-17 | pass→pass | 7,111 | 2,662 | -63% | 1 | 1 | 0% | 1,160 | 2,466 | +113% | 0 | 0 | — |
case-18 | pass→pass | 9,925 | 6,808 | -31% | 1 | 1 | 0% | 1,951 | 3,354 | +72% | 0 | 0 | — |
case-19 | pass→pass | 8,174 | 3,340 | -59% | 1 | 1 | 0% | 1,453 | 2,696 | +86% | 0 | 0 | — |
case-20 | pass→fail | 5,069 | 3,045 | -40% | 1 | 1 | 0% | 877 | 2,585 | +195% | 0 | 0 | — |
case-21 | pass→pass | 11,615 | 18,538 | +60% | 1 | 1 | 0% | 2,280 | 5,612 | +146% | 0 | 0 | — |
case-23 | fail→pass | 29,017 | 13,966 | -52% | 1 | 1 | 0% | 6,176 | 4,602 | -25% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +4 percentage points is the difference between those two pass rates over the 23 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.