paper-analysis

name	paper-analysis
description	Deep analysis of a single paper: download PDF, extract figures, generate structured 20+ section note, fill LLM placeholders.
allowed-tools	Bash

Paper Analysis Skill

Generate a comprehensive analysis note for a single paper.

Step 1: Download the paper

download_paper(paper_id="2510.24701", title="Paper Title", domain="LLM")

This caches the PDF locally under paper-notes/<title>/.

Step 2: Extract figures

extract_paper_images(paper_id="2510.24701")

Auto-detects the local PDF. Images go to paper-notes/<title>/images/.

Step 3: Generate the analysis note

analyze_paper(paper_json='{"title": "...", "authors": [...], "arxiv_id": "..."}', language="zh")

Returns:

• note_path: path to the generated markdown note
• quality_check: whether the note has unfilled placeholders
• pdf_text: full text extracted from the PDF (if available)
• instructions: if placeholders exist, instructions to fill them

Step 4: Fill placeholders

The generated note contains <!-- LLM: describe method --> style placeholders. When instructions is non-null, you MUST fill all placeholders using the pdf_text field:

Filling rules

1. Read the note at note_path.
2. For each <!-- LLM: ... --> placeholder, replace it with substantive content drawn from pdf_text.
3. Be specific: cite numbers, dataset names, architecture details, formula descriptions.
4. Do NOT leave any placeholder unfilled.
5. Write the complete filled note back using the Write tool.

Section guide

Section	What to write
Core information	One-sentence contribution, key result, paper type
Abstract translation	Translate or paraphrase the abstract with domain context
Research background	What problem existed, why it matters
Research questions	List the explicit or implicit questions the paper addresses
Method overview	Architecture, algorithm, pipeline — with specifics
Experimental results	Datasets, metrics, comparisons, ablation findings
Deep analysis	Strengths, weaknesses, assumptions, limitations
Comparison with related work	Position vs. prior art
Technical roadmap	Where this fits in the broader research trajectory
Future work	Open questions the paper raises
Comprehensive evaluation	Your own 1-5 rating with justification
My notes	Leave empty for user to fill

Step 5: Convert to knowledge card (optional)

paper_to_card(paper_json='...', note_path='/path/to/note.md')

Step 6: Link keywords (optional)

link_paper_keywords()

Scans all notes and auto-creates [[wiki-links]] for technical terms.