본문으로 건너뛰기
cccskills
무료GitHub에 공개

pdf-text-extraction

Provides fallback methods for extracting PDF text when the usual file reader fails or returns incomplete content. Uses command-line tools or Python libraries to retrieve text, preserve spacing, inspect metadata, and extract tables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Extract text from PDFs using shell tools when read_file fails

설치 방법 보기

이럴 때 유용합니다

  • Recovering PDF text after file reading fails
  • Extracting text while preserving layout spacing
  • Extracting tables from PDFs
  • Checking PDF page counts and metadata

포함된 파일(2)

  • SKILL.md3.2 KB
  • .skill_id33 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

PDF Text Extraction (Fallback Method)

When to Use This Skill

Use this skill when read_file with filetype='pdf':

  • Returns binary image data instead of text
  • Produces errors or incomplete content
  • Fails to extract structured data reliably

The built-in PDF handler is unreliable for structured text extraction. Shell-based tools provide more robust alternatives.

Available Methods

Method 1: pdftotext (Recommended)

# Extract text from PDF to stdout
pdftotext /path/to/file.pdf -

# Extract text to a file
pdftotext /path/to/file.pdf output.txt

# Preserve layout (maintains spacing/structure)
pdftotext -layout /path/to/file.pdf output.txt

Usage in agent:

run_shell command="pdftotext -layout /path/to/document.pdf -"

Method 2: pdfinfo (Metadata)

# Get PDF metadata (pages, author, creation date, etc.)
pdfinfo /path/to/file.pdf

Usage in agent:

run_shell command="pdfinfo /path/to/document.pdf"

Method 3: Python with PyMuPDF (fitz)

import fitz  # PyMuPDF

doc = fitz.open("/path/to/file.pdf")
text = ""
for page in doc:
    text += page.get_text()
doc.close()
print(text)

Usage in agent:

run_shell command="python3 -c \"import fitz; doc=fitz.open('file.pdf'); print(''.join(p.get_text() for p in doc))\""

Method 4: Python with pdfplumber (Tables)

import pdfplumber

with pdfplumber.open("/path/to/file.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        tables = page.extract_tables()  # For tabular data

Usage in agent:

run_shell command="python3 -c \"import pdfplumber; pdf=pdfplumber.open('file.pdf'); print(''.join(p.extract_text() or '' for p in pdf.pages))\""

Workflow

  1. Try pdftotext first - Fastest and most reliable for plain text

    run_shell command="pdftotext -layout /path/to/file.pdf -"
    
  2. If pdftotext unavailable, check for Python libraries

    run_shell command="python3 -c \"import fitz; print('PyMuPDF available')\""
    
  3. For table/structured data, use pdfplumber

    run_shell command="python3 -c \"import pdfplumber; ...\""
    
  4. Verify extraction succeeded - Check output contains readable text, not binary data

Installation Notes

If tools are not available:

# Ubuntu/Debian
apt-get install poppler-utils  # pdftotext, pdfinfo

# Install Python libraries
pip install pymupdf pdfplumber

Anti-Patterns to Avoid

  • Do NOT rely solely on read_file with filetype='pdf' for critical text extraction
  • Do NOT assume PDF text is in any particular order - verify extracted content
  • Do NOT use image-based extraction unless the PDF is scanned (use OCR instead)

Example: Complete Extraction Pattern

# Step 1: Try pdftotext
RESULT=$(pdftotext -layout /path/to/form.pdf - 2>/dev/null)

# Step 2: Verify we got text, not error
if [ -z "$RESULT" ]; then
    # Fallback to Python
    RESULT=$(python3 -c "import fitz; doc=fitz.open('/path/to/form.pdf'); print(''.join(p.get_text() for p in doc))")
fi

# Step 3: Use extracted text
echo "$RESULT"

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Prepare audio stems, the separate parts of a track, for mixing by matching their durations with silence, loops, or crossfades. Verify each generated and processed file before moving to the next production step.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Match audio parts with different durations
  • Extend drums and melodic parts using suitable methods
  • Check audio specifications before mixing
HKUDS/OpenSpace7.8천2026년 8월 13일 업데이트

Produce audio in separate stems, meaning individual instrument tracks, and verify each output as you go. Align track lengths with silence, loops, or crossfades, then apply effects, mix a master, and package the files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Align instrument tracks to a reference audio file
  • Choose how to extend tracks that are too short
  • Verify audio properties after generation and effects
HKUDS/OpenSpace7.8천2026년 8월 13일 업데이트

Build serverless endpoints that relay external API requests for a dashboard while keeping API keys on the server. Includes Vercel examples for input checks, caching, cross-origin access, and consistent JSON responses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Connect a dashboard to external APIs without exposing API keys
  • Create endpoints for stock quotes and news
  • Standardize API responses and error handling
HKUDS/OpenSpace7.8천2026년 8월 13일 업데이트

Produce a master track and separate audio parts through a structured Python workflow. Apply filters and reverb, export WAV files with consistent settings, package them in a ZIP archive, and check that the deliverables meet the requested specifications.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Export a master track with separate audio parts
  • Apply filters and reverb to audio
  • Check duration and format across deliverables
HKUDS/OpenSpace7.8천2026년 8월 13일 업데이트

Keep document creation moving when web searches and page retrieval repeatedly fail. The skill preserves the original task, uses the model’s existing knowledge, and clearly identifies information that could not be checked against external sources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Continue drafting after repeated web retrieval failures
  • Preserve task requirements during network errors
  • Mark information that could not be externally verified
HKUDS/OpenSpace7.8천2026년 8월 13일 업데이트

When Python execution repeatedly fails in execute_code_sandbox, use a file-based alternative: save the script, run it through the shell, and capture results or errors. The guidance covers paths, imports, timeouts, structured output, and optional cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Retry Python work through the shell after repeated sandbox failures
  • Run longer tasks with an adjusted timeout
  • Execute Python work that needs multiple files or system utilities
HKUDS/OpenSpace7.8천2026년 8월 13일 업데이트

HKUDS의 스킬 모두 보기

이 스킬의 문제 신고