/summary

name: summary
description: Use this for a quick summary of a research paper's core ideas and key points. Use when you want to quickly understand a paper without deep study materials. Triggers on PDF paths, arXiv URLs, or paper URLs.
disable-model-invocation: false
allowed-tools: Bash, Write, Read

Quick Paper Summary Workflow

This skill generates a **concise summary** of a research paper's core ideas and key points.

**When to use:**

• You want to quickly understand what a paper is about
• You need the main contributions without deep technical details
• You're screening papers to decide which to study in depth

**When NOT to use:**

• You want comprehensive study materials (use `/claude-paper:study` instead)
• You need code demonstrations
• You want interactive visualizations

---

**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" → Generate materials in Chinese
• Example: User says "Let's study this paper" → Generate materials in English

---

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

---

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

Step 1b: Parse PDF

Extract structured information:

node ${CLAUDE_PLUGIN_ROOT}/skills/study/scripts/parse-pdf.js "$INPUT_PATH"

Output includes:

• title
• authors
• abstract
• full content
• githubLinks
• codeLinks

Save to:

~/claude-papers/papers/{paper-slug}/meta.json

Copy original PDF:

cp <pdf-path> ~/claude-papers/papers/{paper-slug}/paper.pdf

---

Step 2: Generate Quick Summary

Create the paper folder:

mkdir -p ~/claude-papers/papers/{paper-slug}

Generate **quick-summary.md** with the following structure:

# Quick Summary: [Paper Title]

## One Sentence
[One sentence that captures what the paper is about]

## Problem
[What problem does this paper solve? Why is it important?]

## Core Idea
[The key innovation explained in 2-3 sentences. What makes this paper novel?]

## Key Contributions
- [Contribution 1]
- [Contribution 2]
- [Contribution 3]
- [Contribution 4 if applicable]

## Main Results
| Metric | Value | Dataset/Benchmark |
|--------|-------|-------------------|
| [metric1] | [value] | [dataset] |
| [metric2] | [value] | [dataset] |

## Why It Matters
[Practical implications. How does this advance the field? What can we now do that we couldn't before?]

## Limitations
- [Limitation 1]
- [Limitation 2]

**Guidelines for each section:**

| Section | Length | Focus | |---------|--------|-------| | One Sentence | 1 sentence | High-level summary | | Problem | 2-3 sentences | Context and motivation | | Core Idea | 2-3 sentences | The main innovation | | Key Contributions | 3-5 bullets | What's new/novel | | Main Results | 1 table | Quantitative metrics from the paper | | Why It Matters | 2-3 sentences | Practical value | | Limitations | 2-3 bullets | What the paper doesn't solve |

**Total length:** ~300-500 words (excluding results table)

---

Step 3: Update Index

**CRITICAL**: Read existing index.json first, then append the new paper. Never overwrite the entire file.

If index.json does not exist, create:

{"papers": []}

Append new entry to the papers array:

{
  "id": "paper-slug",
  "title": "Paper Title",
  "slug": "paper-slug",
  "authors": ["Author 1", "Author 2"],
  "abstract": "Paper abstract...",
  "year": 2024,
  "date": "2024-01-01",
  "tags": ["quick-summary"],
  "githubLinks": ["https://github.com/..."],
  "codeLinks": ["https://..."]
}

**IMPORTANT**: The index.json file must be located at:

~/claude-papers/index.json

---

Step 4: Relaunch Web UI

Invoke:

/claude-paper:webui

---

Step 5: Present Summary to User

After generating the summary:

1. **Show the user the quick-summary.md content** - Display the full summary

2. **Offer next steps:**

• "Would you like to study this paper in more depth? Use `/claude-paper:study` for comprehensive materials."
• "Do you have questions about specific parts of the paper?"
• "Would you like me to explain any section in more detail?"

3. **File location reminder:**

• Summary saved to: `~/claude-papers/papers/{paper-slug}/quick-summary.md`
• Web UI available at: `http://localhost:5815`

---

Example Output

# Quick Summary: Attention Is All You Need

## One Sentence
This paper introduces the Transformer, a neural network architecture based entirely on attention mechanisms, achieving state-of-the-art results in machine translation.

## Problem
Sequence transduction models at the time (RNNs, LSTMs, GRUs) process data sequentially, limiting parallelization and struggling with long-range dependencies.

## Core Idea
Replace recurrent layers with self