study

Paper Study Workflow

Invoke this skill with a paper PDF path.

Language Detection: Detect the user's language from their input and generate ALL materials in that language.

• Example: User says "我们学习一下这篇论文吧" → Generate materials in Chinese
• Example: User says "Let's study this paper" → Generate materials in English

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Core Philosophy

Primary Objective: Facilitate deep conceptual understanding and research-level thinking.

Secondary Objective: Create a structured, reusable paper knowledge system.

This workflow is not just for summarizing — it builds a learning environment around the paper.

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Step 0: Check Dependencies (First Run Only)

if [ ! -f "${CLAUDE_PLUGIN_ROOT}/.installed" ]; then
  echo "First run - installing dependencies..."
  cd "${CLAUDE_PLUGIN_ROOT}"
  npm install || exit 1

  # Install Python dependencies for image extraction
  python3 -m pip install pymupdf --user 2>/dev/null || pip3 install pymupdf --user 2>/dev/null || echo "Warning: Failed to install pymupdf"

  touch "${CLAUDE_PLUGIN_ROOT}/.installed"
  echo "Dependencies installed!"
fi

Recommended:

• Node >= 18
• Python 3 with pip (for image extraction)

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Step 1: Download and Parse PDF

Supports multiple input formats:

• Local path: ~/Downloads/paper.pdf
• Direct PDF URL: https://arxiv.org/pdf/1706.03762.pdf
• arXiv URL: https://arxiv.org/abs/1706.03762

Step 1a: Check input type and download if URL

USER_INPUT="<user-input>"

# Check if input is a URL (starts with http:// or https://)
if [[ "$USER_INPUT" =~ ^https?:// ]]; then
  # Download PDF from URL
  INPUT_PATH=$(node ${CLAUDE_PLUGIN_ROOT}/skills/study/scripts/download-pdf.cjs "$USER_INPUT")
else
  # Use local path directly
  INPUT_PATH="$USER_INPUT"
fi

For URLs, the download script will:

• Download PDFs to /tmp/claude-paper-downloads/
• Convert arXiv /abs/ URLs to PDF URLs automatically
• Validate that URLs point to PDF files
• Return the local file path for processing