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Use this skill when the user wants to read, study, analyze, or deeply understand a research paper (PDF).
Passed 2 of 10 test cases with the skill, and 1 of 10 without it.
3 fixed1 passed either way16 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
When generating summary.md and insights.md for ~/Downloads/deep_seek_v3.pdf, the parser output meta.json has contentTruncated set to true. Where should the full text be read from?
| Checked | Without skill | With skill |
|---|---|---|
| Reads paper.txt for complete paper contents when contentTruncated is true. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
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.
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
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test cases passed, vs 1 / 10 without
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