smithery/vasilyu1983

document-pdf

Extracts, creates, and transforms PDF documents. Use when parsing text or tables, generating files, merging pages, or handling PDF forms.

Installation

$ npx skills add smithery/vasilyu1983 --skill document-pdf

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.1
CompatibilityClaude Code + Codex. Uses runtime-specific allowed-tools / argument-hint fields.
Allowed toolsBash, Read, Write, Glob, Grep
Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 12,735 B
  • docs SUMMARY.md 195 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Document PDF Skill — Quick Reference

This skill enables PDF creation, extraction, manipulation, and analysis. Apply these patterns when users need to generate invoices, reports, extract data from PDFs, merge documents, or work with PDF forms.

Modern Best Practices (Jul 2026):

  • PDF is a release artifact, not the editable source of truth.
  • Validate export fidelity (fonts, images, links) and accessibility where required.
  • Accessibility: if compliance matters, target a tagged/structured PDF workflow (often PDF/UA-aligned) and validate with tooling.
  • EU distribution: EAA (June 2025) typically implies EN 301 549 expectations for customer-facing PDFs.
  • Treat PDFs as sensitive: scrub metadata at all layers (PDF-internal, filesystem, OS xattrs), ensure real redaction, and control distribution.
  • Metadata exists in multiple layers: PDF Info/XMP (internal), filesystem dates (OS), and extended attributes (macOS quarantine, provenance). Scrubbing one layer while ignoring others leaves traces.

Core Decision Rules (2026)

  • First decide: born-digital PDF (selectable text) vs scanned PDF (images). Scanned PDFs usually require OCR; see references/pdf-extraction-patterns.md.
  • If the user needs accessibility/compliance, prefer generating from a source format that supports structure (DOCX/HTML + proper export) rather than “post-fixing” an untagged PDF.
  • For deterministic ops (merge/split/rotate/scrub), prefer scripts/ helpers over re-implementing ad hoc.
  • Never treat black rectangles or overlays as redaction; use real redaction and verify by copy/paste + search.
  • Table extraction is probabilistic, not deterministic: run pdfplumber first and spot-check output against the source page; escalate to Camelot only when columns/rows are visibly wrong, and always inspect Camelot's per-table accuracy score rather than trusting output blindly.
  • PyMuPDF/fitz (used by scrub_metadata.py and most redaction/OCR-prep code below) is dual-licensed AGPL-3.0 / commercial. Flag this before shipping it inside a closed-source product or SaaS backend — AGPL's network-use clause can trigger a source-disclosure obligation; get a commercial license from Artifex or substitute pypdf/pdfplumber where the required functionality overlaps.
  • pdf-lib (Node) has had no active upstream releases for an extended period as of mid-2026; for new Node projects needing ongoing fixes, evaluate a maintained fork (e.g. @cantoo/pdf-lib) before committing, and pin the dependency either way.

Quick Reference

Task Tool/Library Language When to Use
Create PDF pdfkit Node.js Reports, invoices, certificates
Create PDF ReportLab Python Complex layouts, tables
Create PDF FPDF2 Python Simple PDFs with Unicode support
Edit PDF pdf-lib Node.js Modify existing PDFs, add pages (upstream low-activity — consider a maintained fork)
Parse/merge/split/rotate pypdf Python Deterministic PDF manipulation
Extract text pdfplumber Python OCR-free text extraction
OCR scanned PDF OCRmyPDF Python/CLI Searchable text layer for scanned PDFs
Custom OCR pipeline PyMuPDF (fitz) + Tesseract Python Page-level OCR or image-heavy extraction — PyMuPDF is AGPL-3.0/commercial dual-licensed
Extract tables pdfplumber Python Default table extraction; verify visually before trusting
Extract hard tables Camelot (camelot-py) Python Lattice/stream edge cases; 2026 releases add an optional neural backend — check table.accuracy either way
Fill forms pdf-lib Node.js Form automation
Sign PDFs pyHanko Python/CLI Digital signatures and validation
HTML to PDF Playwright Node.js Browser-faithful web page rendering
HTML to tagged PDF WeasyPrint Python Semantic HTML, PDF/A or PDF/UA-oriented export
Validate PDF/A veraPDF CLI/GUI Archival conformance checks
Validate PDF accessibility PAC / Acrobat Checker GUI PDF/UA and accessibility checks
Inspect/edit file metadata exiftool CLI Audit or rewrite internal dates, XMP, EXIF, ICC across PDF/image files
Set filesystem dates touch / SetFile CLI (macOS) Correct creation/modification timestamps at OS level

When to Use This Skill

Use this skill when a user requests:

  • Generate PDFs from data (invoices, reports, certificates)
  • Extract text or tables from existing PDFs
  • Merge multiple PDFs into one document
  • Split PDFs into separate files
  • Fill PDF forms programmatically
  • Add watermarks, headers, footers
  • Convert HTML/web pages to PDF

Default Workflow

  • Create: use Playwright for browser-faithful HTML/CSS, WeasyPrint for semantic/tagged HTML exports, ReportLab for Python-heavy layouts, or pdfkit for Node-first custom layout.
  • Extract: first classify the file as born-digital vs scanned; run OCRmyPDF before downstream extraction on scanned PDFs, then use references/pdf-extraction-patterns.md.
  • Ship: run assets/pdf-release-checklist.md; add PAC / Acrobat checks for accessibility-sensitive PDFs and veraPDF when archival conformance matters.

ASCII Flow

PDF request
  |
  v
Classify task
  |-- create new PDF
  |-- extract text / tables / images
  |-- modify existing PDF
  |-- fill / sign forms
  |-- merge / split / rotate / scrub
  |
  v
Classify source and risk
  |-- born-digital ----> extract directly
  |-- scanned ---------> OCR first
  |-- sensitive -------> real redaction + metadata scrub
  |-- compliance ------> tagged / structured source workflow
  |
  v
Select tool or script
  |-- HTML/CSS --------> Playwright or WeasyPrint
  |-- Python layout ---> ReportLab / FPDF2
  |-- deterministic ---> scripts/ + pypdf
  |-- extraction ------> pdfplumber / OCRmyPDF / Camelot
  |
  v
Verify fidelity, accessibility, metadata, and redaction

Scripts (Deterministic Operations)

Scripts are optional helpers; they assume Python 3 plus the listed dependencies in each file.

  • Merge: python3 scripts/merge_pdfs.py merged.pdf a.pdf b.pdf
  • Split: python3 scripts/splitpdf.py in.pdf outdir --each-page
  • Rotate: python3 scripts/rotate_pdf.py in.pdf out.pdf --degrees 90
  • Scrub metadata and active content: python3 scripts/scrub_metadata.py in.pdf out.pdf
  • Scrub with filesystem + xattr cleanup: python3 scripts/scrub_metadata.py in.pdf out.pdf --filesystem-date 2025-09-20 --strip-xattrs

PDF Structure Patterns

Invoice Template

INVOICE STRUCTURE
├── Header (logo, company info, invoice #)
├── Bill To / Ship To blocks
├── Line items table
│   ├── Description | Qty | Unit Price | Total
│   └── Subtotal, Tax, Total
├── Payment terms
└── Footer (contact, thank you)

Report Template

REPORT PDF STRUCTURE
├── Cover page (title, author, date)
├── Table of contents
├── Body sections with page numbers
├── Charts/images with captions
├── Appendices
└── Running header/footer

Decision Tree

PDF Task: [What do you need?]
    ├─ Create new PDF?
    │   ├─ Browser-faithful HTML/CSS → Playwright
    │   ├─ Semantic HTML / tagged export → WeasyPrint
    │   ├─ Node-first custom layout → pdfkit
    │   └─ Python complex layout → ReportLab / FPDF2
    │
    ├─ Extract from PDF?
    │   ├─ Born-digital text → pdfplumber (Python)
    │   ├─ Scanned pages → OCRmyPDF, then pdfplumber
    │   ├─ Tables → pdfplumber first, Camelot for hard cases
    │   └─ Images / raster work → PyMuPDF/fitz
    │
    ├─ Modify existing PDF?
    │   ├─ Add text/images → pdf-lib (Node)
    │   ├─ Merge/split/rotate/scrub → pypdf + scripts
    │   ├─ Fill forms → pdf-lib
    │   └─ Sign → pyHanko
    │
    └─ Batch processing?
        └─ OCRmyPDF / pypdf / pdfplumber pipeline

Do / Avoid (Jul 2026)

Do

  • Keep a versioned source document (doc/slide/design file) alongside the PDF.
  • Verify links and reading order for long documents.
  • Use real redaction and test by copy/paste.
  • Use OCRmyPDF for scanned PDFs before text extraction.
  • Scrub all metadata layers before distribution (PDF-internal, filesystem dates, macOS xattrs).
  • Verify with exiftool -all -G1 after scrubbing — check for tool fingerprints (XMP Toolkit) and residual dates.
  • Confirm PyMuPDF's AGPL/commercial licensing fits the deployment before relying on it in closed-source or SaaS code paths.

Avoid

  • Editing PDFs as the primary workflow when a source doc exists.
  • Defaulting to wkhtmltopdf in new 2026 workflows.
  • Shipping PDFs with broken links or illegible charts.
  • Including customer PII or secrets in PDFs without explicit approval.
  • Scrubbing only PDF-internal metadata while ignoring filesystem dates and OS-level xattrs.
  • Using exiftool to modify PDF XMP without overwriting its XMP Toolkit fingerprint.
  • Trusting Camelot/pdfplumber table output on financial or legal documents without a visual spot-check or accuracy-score review — misaligned columns fail silently.
  • Bundling PyMuPDF into a proprietary product without checking AGPL obligations or budgeting for a commercial license.

What Good Looks Like

  • Fidelity: export is reproducible from a versioned source file (doc/slide/design) and looks identical across viewers.
  • Accessibility: tags/reading order are correct; links work; scanned docs are OCRed when appropriate.
  • Release hygiene: file naming includes version/date; metadata is clean; no “PDF as source of truth”.
  • Security: redaction is verified (copy/paste test) and sensitive data is minimized.
  • QA: release checklist completed using assets/pdf-release-checklist.md.

Optional: AI / Automation

Use only when explicitly requested and policy-compliant.

  • Generate a release checklist run; humans verify the final PDF manually.

Navigation

Resources

  • [references/pdf-generation-patterns.md](references/pdf-generation-patterns.md) — Complex layouts, multi-page docs
  • [references/pdf-extraction-patterns.md](references/pdf-extraction-patterns.md) — Text, table, image extraction
  • [references/pdf-accessibility-compliance.md](references/pdf-accessibility-compliance.md) — Tagged PDFs, PDF/UA, EAA compliance
  • [references/pdf-forms-interactive.md](references/pdf-forms-interactive.md) — AcroForms, form filling, digital signatures
  • [references/pdf-security-redaction.md](references/pdf-security-redaction.md) — Encryption, permissions, real redaction
  • [data/sources.json](data/sources.json) — Library documentation links

Scripts

  • scripts/merge_pdfs.py — Merge PDFs in order
  • scripts/split_pdf.py — Split one-per-page or by range
  • scripts/rotate_pdf.py — Rotate all pages by 90/180/270 degrees
  • scripts/scrub_metadata.py — Scrub Info/XMP metadata, attachments, JavaScript, and thumbnails

Templates

  • [assets/invoice-template.md](assets/invoice-template.md) — Invoice PDF generation
  • [assets/report-template.md](assets/report-template.md) — Multi-page report structure
  • [assets/pdf-release-checklist.md](assets/pdf-release-checklist.md) — Links, accessibility, export fidelity

Related Skills

  • [../document-docx/SKILL.md](../document-docx/SKILL.md) — Word document generation
  • [../document-xlsx/SKILL.md](../document-xlsx/SKILL.md) — Excel/spreadsheet workflows
  • [../document-pptx/SKILL.md](../document-pptx/SKILL.md) — PowerPoint presentations

Fact-Checking

  • Use web search/web fetch to verify current external facts, versions, pricing, deadlines, regulations, or platform behavior before final answers.
  • Prefer primary sources; report source links and dates for volatile information.
  • If web access is unavailable, state the limitation and mark guidance as unverified.

Learnings Loop

Before applying this skill on a non-trivial task, read learnings.consolidated.md in this directory (and learnings.md if present).

After applying it, if you encountered a pattern worth remembering, a mistake worth preventing, or a domain fact that surprised you, append one dated bullet to learnings.md via agents-skills-feedback-loop/scripts/append_learning.py. Do not modify SKILL.md itself.