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/paper-analyze

Deep analysis of a single paper with figure extraction from arXiv source

From plugin
auto-deep-researcher-24x7
1.3k8 skills4 agents
Install
$ npx -y skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill paper-analyze --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/paper-analyze

Context preview

The summary Claude sees to decide when to auto-load this skill.

Deep analysis of a single paper with figure extraction from arXiv source

SKILL.md

paper-analyze.SKILL.md
name: paper-analyze
description: "Deep analysis of a single paper with figure extraction from arXiv source"

paper-analyze

Perform deep analysis of a single academic paper.

Usage

Claude Code: /paper-analyze <arxiv_id or url>
Codex: $paper-analyze

Behavior

1. Fetch paper metadata from arXiv API 2. Attempt to download arXiv source package (.tar.gz) 3. Extract actual figures from source (not screenshots) 4. Read the full paper (PDF if source unavailable) 5. Generate structured analysis

Figure Extraction

Priority order: 1. arXiv source package → extract .png/.jpg/.pdf figures 2. PDF extraction as fallback 3. Name files with arxiv_id prefix to avoid collisions

Output Format

# [Paper Title]

**arXiv**: [id] | **Authors**: ... | **Year**: ...

## Problem
What specific problem does this paper address?

## Motivation  
Why is this problem important? What gap exists?

## Method
Detailed technical approach with key equations/algorithms.

![Figure 1](figures/arxiv_id_fig1.png)

## Experiments
- Datasets, baselines, metrics
- Key results table
- Ablation findings

## Insights
- What can we learn and apply?
- Strengths and limitations
- Connections to our research
Ships withauto-deep-researcher-24x7

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

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109
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Maintenance
Python
Language
Apache-2.0
License
2mo ago
Last commit
4mo ago
Created

Repo: Xiangyue-Zhang/auto-deep-researcher-24x7