{
    "format": "skillpro/v1",
    "skill_id": "davekilleen-dex-claude-skills-anthropic-pdf-skill-md",
    "name": "anthropic-pdf",
    "version": "1.0.0",
    "description": "Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.",
    "category": [
        "开发编程"
    ],
    "trigger_words": [],
    "tags": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=davekilleen-dex-claude-skills-anthropic-pdf-skill-md",
    "exported_at": "2026-09-17T10:59:43+08:00",
    "system_prompt": "name anthropic-pdf description Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale. license Proprietary. LICENSE.txt has complete terms PDF Processing Guide Overview This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions. Quick Start from 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() Python Libraries pypdf - Basic Operations Merge PDFs from 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) Split PDF reader = 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) Extract Metadata reader = 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} \" ) Rotate Pages reader = 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) pdfplumber - Text and Table Extraction Extract Text with Layout import pdfplumber with pdfplumber. open ( \"document.pdf\" ) as pdf: for page in pdf.pages: text = page.extract_text() print (text) Extract Tables with 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) Advanced Table Extraction import 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 ) reportlab - Create PDFs Basic PDF Creation from 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() Create PDF with Multiple Pages from 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) Command-Line Tools pdftotext (poppler-utils) # 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 qpdf # 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 pdftk (if available) # Merge pdftk file1.pdf file2.pdf cat output merged.pdf # Split pdftk input.pdf burst # Rotate pdftk input.pdf rotate 1east output rotated.pdf Common Tasks Extract Text from Scanned PDFs # Requires: 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) Add Watermark from 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) Extract Images # Using pdfimages (poppler-utils) pdfimages -j input.pdf output_prefix # This extracts all images as output_prefix-000.jpg, output_prefix-001.jpg, etc. Password Protection from 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) Quick Reference 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 Next Steps For advanced pypdfium2 usage, see reference.md For JavaScript libraries (pdf-lib), see reference.md If you need to fill out a PDF form, follow the instructions in forms.md For troubleshooting guides, see reference.md",
    "model_config": {
        "provider": "deepseek",
        "model": "deepseek-chat",
        "temperature": 0.7,
        "max_tokens": 4096,
        "top_p": 0.9
    },
    "examples": [
        {
            "input": "请用anthropic-pdf帮我处理问题",
            "output": "好的，我是anthropic-pdf。Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale. 我会根据你的需求提供专业帮助。"
        },
        {
            "input": "介绍一下你的能力",
            "output": "我是anthropic-pdf，专注于开发编程领域。Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale."
        }
    ],
    "install_guide": {
        "coze": "在 Coze 平台创建 Bot -> 技能配置 -> 导入此 .skill 文件",
        "dify": "在 Dify 平台创建应用 -> 添加知识库 -> 导入此 .skill 配置",
        "claude": "将 system_prompt 字段内容复制到 Claude 自定义指令中",
        "custom": "将此 .skill 文件加载到你的 AI Agent 框架中，解析 system_prompt 和 model_config 即可使用"
    },
    "scripts": {
        "python": "# anthropic-pdf - Python extension\n# Add custom Python logic here\ndef process(input_data):\n    return input_data\n",
        "javascript": "// anthropic-pdf - JavaScript extension\n// Add custom JS logic here\nfunction process(inputData) {\n    return inputData;\n}\n"
    },
    "tools": {
        "mcp_servers": [],
        "api_endpoints": []
    },
    "dependencies": {
        "python": [],
        "node": []
    },
    "hooks": {
        "on_load": "echo \"Skill loaded: anthropic-pdf\"",
        "on_call": "",
        "on_error": "echo \"Skill error: please check logs\""
    }
}