PDF Extractor Skill

Purpose

Single responsibility: Extract structured content (text, tables, images) from PDF files into organized, searchable formats. (BP-4)

Grounding Checkpoint (Archetype 1 Mitigation)

Before executing, VERIFY:

• PDF file exists and is readable (file <path> confirms PDF format)
• PDF is not corrupted (pdfinfo <path> returns metadata)
• Password known if encrypted
• Output directory is writable
• Required tools available (pdfplumber, pytesseract for OCR)

DO NOT proceed without verification. Inspect PDF metadata first.

Uncertainty Escalation (Archetype 2 Mitigation)

ASK USER instead of guessing when:

• PDF appears to be scanned (needs OCR) but OCR tools unavailable
• Multiple table formats detected - unclear which parser to use
• Password-protected but no password provided
• Image extraction quality unclear (resolution, format preferences)
• Language detection needed for OCR

NEVER assume PDF structure without inspection.

Context Scope (Archetype 3 Mitigation)

Workflow Steps

Step 1: Inspect PDF (Grounding)

# Check file type
file document.pdf

# Get PDF metadata
pdfinfo document.pdf

# Check page count
pdfinfo document.pdf | grep Pages

# Check if encrypted
pdfinfo document.pdf | grep Encrypted

Step 2: Determine Extraction Strategy

Step 3: Execute Extraction

Option A: With skill-seekers (if installed)

# Basic extraction
skill-seekers pdf --pdf document.pdf --name myskill

# With table extraction
skill-seekers pdf --pdf document.pdf --name myskill --extract-tables

# With OCR for scanned docs
skill-seekers pdf --pdf document.pdf --name myskill --ocr

# With parallel processing (large PDFs)
skill-seekers pdf --pdf document.pdf --name myskill --parallel --workers 8

# Password-protected
skill-seekers pdf --pdf document.pdf --name myskill --password "secret"

Option B: Manual extraction guidance

# Basic text extraction
pdftotext -layout document.pdf output.txt

# Extract with page markers
pdftotext -layout -eol unix document.pdf output.txt

# Extract images
pdfimages -all document.pdf images/

# OCR scanned PDF (requires tesseract)
pdftoppm document.pdf page -png
tesseract page-*.png output -l eng

Step 4: Validate Output

# Check extraction quality
head -100 output/<skill-name>/references/content.md

# Verify table extraction
grep -A 10 "| " output/<skill-name>/references/*.md

# Check image extraction
ls -la output/<skill-name>/assets/images/

Recovery Protocol (Archetype 4 Mitigation)

On error:

1. PAUSE - Stop extraction, preserve partial output
2. DIAGNOSE - Check error type:
   • File not found → Verify path
   • Password required → Ask user for password
   • Corrupt PDF → Try repair with qpdf --check
   • OCR failed → Check tesseract installation, language packs
   • Memory error → Process in chunks, reduce workers
3. ADAPT - Switch strategy based on diagnosis
4. RETRY - Resume with adapted approach (max 3 attempts)
5. ESCALATE - Ask user for guidance

Checkpoint Support

State saved to: .aiwg/working/checkpoints/pdf-extractor/

For large PDFs, extraction saves progress per chunk:

checkpoints/pdf-extractor/
├── document_metadata.json
├── pages_1-50.json
├── pages_51-100.json
└── current_position.json

Output Structure

output/<skill-name>/
├── SKILL.md              # Skill description with PDF summary
├── references/
│   ├── index.md          # Table of contents
│   ├── chapter_1.md      # Content by section
│   ├── chapter_2.md
│   └── tables.md         # Extracted tables
└── assets/
    └── images/           # Extracted images (if enabled)
        ├── page_1_fig_1.png
        └── page_5_chart_1.png

Configuration Options

{
  "name": "mymanual",
  "description": "Product manual documentation",
  "pdf_path": "docs/manual.pdf",
  "extract_options": {
    "chunk_size": 10,
    "min_quality": 6.0,
    "extract_images": true,
    "min_image_size": 150,
    "ocr_enabled": false,
    "ocr_language": "eng",
    "table_extraction": true
  },
  "categories": {
    "getting_started": ["introduction", "setup", "installation"],
    "usage": ["using", "operation", "guide"],
    "reference": ["appendix", "specifications", "api"]
  }
}

Extraction Quality Metrics

Troubleshooting

Dependencies

Required:

• Python 3.10+
• pdfplumber or pypdf

Optional (for advanced features):

• pytesseract + tesseract-ocr (for OCR)
• Pillow (for image processing)
• camelot-py (for complex tables)

References

• Skill Seekers PDF Support: https://github.com/jmagly/Skill_Seekers/blob/main/docs/PDF_MCP_TOOL.md
• REF-001: Production-Grade Agentic Workflows (BP-1, BP-4)
• REF-002: LLM Failure Modes (Archetype 1-4 mitigations)