268 AI coding assistant skills, organized across 12 workflow layers. Sources include Anthropic official, FRM, SKC, LRN, SKA, and other mainstream AI coding frameworks.
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What its author says it does
Copied from the file, not written here
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDF...
SKILL.md
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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)
Subscripts and Superscripts
IMPORTANT: Never use Unicode subscript/superscript characters (₀₁₂₃₄₅₆₇₈₉, ⁰¹²³⁴⁵⁶⁷⁸⁹) in ReportLab PDFs. The built-in fonts do not include these glyphs, causing them to render as solid black boxes.
Instead, use ReportLab's XML markup tags in Paragraph objects:
from reportlab.platypus import Paragraph
from reportlab.lib.styles import getSampleStyleSheet
styles = getSampleStyleSheet()
# Subscripts: use <sub> tag
chemical = Paragraph("H<sub>2</sub>O", styles['Normal'])
# Superscripts: use <super> tag
squared = Paragraph("x<super>2</super> + y<super>2</super>", styles['Normal'])
For canvas-drawn text (not Paragraph objects), manually adjust font the size and position rather than using Unicode subscripts/superscripts.
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
Markdown → PDF (LRN-extracted, Lightpanda renderer)
Browser Setup (Lightpanda)
LP_PORT=9222
lightpanda --remote-debugging-port $LP_PORT &
LP_PID=$!; sleep 1
trap "kill $LP_PID 2>/dev/null" EXIT
lp_navigate() { local URL="$1"; node -e "const{chromium}=require('playwright');(async()=>{const b=await chromium.connectOverCDP('http://localhost:$LP_PORT');const p=await b.newPage();await p.goto('$URL');await b.close();})();" 2>/dev/null; }
lp_screenshot() { local OUT="${1:-/tmp/lp.png}" W="${2:-1440}" H="${3:-900}"; node -e "const{chromium}=require('playwright');(async()=>{const b=await chromium.connectOverCDP('http://localhost:$LP_PORT');const p=await b.newPage();await p.setViewportSize({width:$W,height:$H});await p.screenshot({path:'$OUT',fullPage:true});await b.close();})();" 2>/dev/null; echo "$OUT"; }
lp_click() { local SEL="$1"; node -e "const{chromium}=require('playwright');(async()=>{const b=await chromium.connectOverCDP('http://localhost:$LP_PORT');const p=await b.newPage();await p.click('$SEL');await b.close();})();" 2>/dev/null; }
lp_get_text() { node -e "const{chromium}=require('playwright');(async()=>{const b=await chromium.connectOverCDP('http://localhost:$LP_PORT');const p=await b.newPage();console.log(await p.innerText('body'));await b.close();})();" 2>/dev/null; }
lp_get_html() { node -e "const{chromium}=require('playwright');(async()=>{const b=await chromium.connectOverCDP('http://localhost:$LP_PORT');const p=await b.newPage();console.log(await p.content());await b.close();})();" 2>/dev/null; }
lp_eval() { local JS="$1"; node -e "const{chromium}=require('playwright');(async()=>{const b=await chromium.connectOverCDP('http://localhost:$LP_PORT');const p=await b.newPage();console.log(await p.evaluate($JS));await b.close();})();" 2>/dev/null; }
lp_wait() { sleep "${1:-1}"; }
lp_ai_vision() { local FILE="${1:-/tmp/lp.png}"; lp_screenshot "$FILE"; echo "Screenshot saved: $FILE — pass to Claude vision for analysis."; }
lp_skill_run() { echo "lp_skill_run: $* — map to agent-browser skill if available"; }
lp_browse() { echo "lp_browse: $* — use lp_navigate/lp_screenshot/lp_click as appropriate"; }
lp_type() { local SEL="$1" TXT="$2"; node -e "const{chromium}=require('playwright');(async()=>{const b=await chromium.connectOverCDP('http://localhost:$LP_PORT');const p=await b.newPage();await p.fill('$SEL','$TXT');await b.close();})();" 2>/dev/null; }
make-pdf: publication-quality PDFs from markdown
Turn .md files into PDFs that look like Faber & Faber essays: 1in margins,
left-aligned body, Helvetica throughout, curly quotes and em dashes, optional
cover page and clickable TOC, diagonal DRAFT watermark when you need it.
Copy-paste from the PDF produces clean words, never "S a i l i n g".
On Linux, install fonts-liberation for correct rendering — Helvetica and Arial
aren't present by default, and Liberation Sans is the standard metric-compatible
fallback. CI and Docker builds install it automatically via Dockerfile.ci.
Emoji need a color-emoji font. macOS (Apple Color Emoji) and Windows (Segoe UI
Emoji) ship one; most Linux distros and containers ship none, so emoji render as
empty boxes (▯). ./setup auto-installs fonts-noto-color-emoji on Linux
(apt/dnf/pacman/apk, best-effort) and the print CSS falls back through Apple /
Segoe / Noto emoji families. Set GSTACK_SKIP_FONTS=1 to skip the install (CI
without sudo, managed or offline machines).
Core patterns
80% case — memo/letter
One command, no flags. Gets a clean PDF with running header + page numbers
- CONFIDENTIAL footer by default.
$P generate letter.md # writes /tmp/letter.pdf
$P generate letter.md letter.pdf # explicit output path
Publication mode — cover + TOC + chapter breaks
$P generate --cover --toc --author "Garry Tan" --title "On Horizons" \
essay.md essay.pdf
Each top-level H1 in the markdown starts a new page. Disable with
--no-chapter-breaks for memos that happen to have multiple H1s.
Draft-stage watermark
$P generate --watermark DRAFT memo.md draft.pdf
Diagonal 10% opacity DRAFT across every page. When the draft is final, drop the flag and regenerate.
Fast iteration via preview
$P preview essay.md
Renders HTML with the same print CSS and opens it in your browser. Refresh as you edit the markdown. Skip the PDF round trip until you're ready.
Brand-free (no CONFIDENTIAL footer)
$P generate --no-confidential memo.md memo.pdf
Common flags
Page layout:
--margins <dim> 1in (default) | 72pt | 2.54cm | 25mm
--page-size letter|a4|legal
Structure:
--cover Cover page (title, author, date, hairline rule)
--toc Clickable TOC with page numbers
--no-chapter-breaks Don't start a new page at every H1
Branding:
--watermark <text> Diagonal watermark ("DRAFT", "CONFIDENTIAL")
--header-template <html> Custom running header
--footer-template <html> Custom footer (mutex with --page-numbers)
--no-confidential Suppress the CONFIDENTIAL right-footer
Output:
--page-numbers "N of M" footer (default on)
--tagged Accessible PDF (default on)
--outline PDF bookmarks from headings (default on)
--quiet Suppress progress on stderr
--verbose Per-stage timings
Network:
--allow-network Fetch external images. Off by default
(blocks tracking pixels).
Metadata:
--title "..." Document title (defaults to first H1)
--author "..." Author for cover + PDF metadata
--date "..." Date for cover (defaults to today)
When to use
Watch for markdown-to-PDF intent. Any of these patterns → run $P generate:
- "Can you make this markdown a PDF"
- "Export it as a PDF"
- "Turn this letter into a PDF"
- "I need a PDF of the essay"
- "Print this as a PDF for me"
If the user has a .md file open and says "make it look nice", propose
$P generate --cover --toc and ask before running.
Debugging
- Output looks empty / blank → check browse daemon is running:
lp_browse status. - Fragmented text on copy-paste → highlight.js output (Phase 4). Retry with
--no-syntaxonce that flag exists. For now, remove fenced code blocks and regenerate. - Paged.js timeout → probably no headings in the markdown. Drop
--toc. - External image missing → add
--allow-network(understand you're giving the markdown file permission to fetch from its image URLs). - Generated PDF too tall/wide →
--page-size a4or--margins 0.75in.
Output contract
stdout: /tmp/letter.pdf ← just the path, one line
stderr: Rendering HTML... ← progress spinner (unless --quiet)
Generating PDF...
Done in 1.5s. 43 words · 22KB · /tmp/letter.pdf
exit code: 0 success / 1 bad args / 2 render error / 3 Paged.js timeout
/ 4 browse unavailable
Capture the path: PDF=$($P generate letter.md) — then use $PDF.