fastxyz/skill-optimizer/pdf-skill

Claude Code and agent skill by fastxyz/skill-optimizer

Trust tier 2
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Use this skill when a task requires reading, creating, splitting, merging, or otherwise manipulating PDF files.

Install

npx vskill@latest install fastxyz/skill-optimizer/pdf-skill

SKILL.md

PDF Skill Demo

Use Python packages installed in /work/.venv for PDF work. Common choices:

  • pypdf for reading, splitting, and writing pages
  • pdfplumber for extracting text from PDFs
  • reportlab for creating new PDFs

Always inspect the extracted text before writing parsing regexes. Do not guess labels or field formats from the task prompt.

Example text extraction:

python
from pypdf import PdfReader
reader = PdfReader("input.pdf")
text = "\n".join(page.extract_text() or "" for page in reader.pages)
print(text)

Example structured extraction after inspecting text:

python
from pypdf import PdfReader
import json
reader = PdfReader("statement.pdf")
text = "\n".join(page.extract_text() or "" for page in reader.pages)
lines = [line.strip() for line in text.splitlines() if line.strip()]
answer = {"riskFlags": []}
for line in lines:
if line.startswith("Account:"):
answer["account"] = line.split(":", 1)[1].strip()
elif line.startswith("Quarter:"):
answer["quarter"] = line.split(":", 1)[1].strip()
elif line.startswith("Total Revenue:"):
raw = line.split(":", 1)[1].strip().replace("$", "").replace(",", "")
answer["totalRevenue"] = float(raw)
elif line.startswith("Risk Flag:"):
answer["riskFlags"].append(line.split(":", 1)[1].strip())
elif line.startswith("Approval Code:"):
answer["approvalCode"] = line.split(":", 1)[1].strip()
with open("answer.json", "w") as output:
json.dump(answer, output, indent=2)

Example page filtering:

python
from pypdf import PdfReader, PdfWriter
reader = PdfReader("input.pdf")
writer = PdfWriter()
writer.add_page(reader.pages[0])
with open("output.pdf", "wb") as output:
writer.write(output)

Example page filtering by extracted page text:

python
from pypdf import PdfReader, PdfWriter
reader = PdfReader("customer-packet.pdf")
writer = PdfWriter()
for page in reader.pages:
text = page.extract_text() or ""
if "CUSTOMER COPY" in text and "INTERNAL NOTES" not in text:
writer.add_page(page)
with open("customer-copy.pdf", "wb") as output:
writer.write(output)

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
56
Repository forks
9
7-day trend score
20

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 18 May 2026, 5 months ago.

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