paper-parse

Extract full text from academic PDFs or URLs and generate dual-mode reports.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/xintuchain/tongtong --skill paper-parse-xintuchain
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-parse
Source: https://github.com/xintuchain/tongtong/tree/main/skills/paper-parse
Command: npx skills add https://github.com/xintuchain/tongtong --skill paper-parse-xintuchain

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Paper-parse turns any academic paper provided as a PDF or URL into two ready-to-use reports: a deep, professional analysis for researchers and a concise, high-value summary for quick understanding, eliminating manual, error-prone reading and synthesis.

Core Features & Use Cases

  • Full-text extraction from PDFs or downloaded URLs, with instructions to preserve figures and important table content.
  • Dual-mode deliverables: Part A produces a rigorous, template-driven academic read (methods, data, interpretation) and Part B produces a distilled core-logic and value statement for rapid consumption.
  • Template-based, reproducible output: Uses local reference templates to ensure consistent structure across reports and includes a mandatory intermediate analysis step to capture key hypotheses, methods, and data.
  • Use Case: A researcher uploads a conference paper PDF and requests both an in-depth critique suitable for peer discussion and a one-paragraph summary for a grant application.

Quick Start

Analyze the attached PDF or linked URL and produce a dual-mode report with Part A as a detailed academic analysis following the Part A template and Part B as a concise core-logic and value summary following the Part B template.

Frequently Asked Questions about paper-parse

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I summarize an academic paper from a PDF or URL?

To summarize an academic paper from a PDF or URL, you can use a dual-mode analysis to extract full text and generate both a deep academic critique and a concise core-logic summary. This preserves figures and table content for rigorous fidelity.

What is dual-mode analysis for research papers?

Dual-mode analysis for research papers produces two reports: Part A is a detailed academic analysis of methods and data for researchers, while Part B is a distilled one-paragraph summary for quick comprehension and rapid consumption.

How do I extract text and figures from a PDF research paper?

Extracting text and figures from a PDF research paper involves full-text extraction from the attachment or downloaded URL, preserving figures and important table content to ensure rigorous academic fidelity during report generation.

Can I generate a consistent literature review template from academic PDFs?

Yes, you can generate a consistent literature review template from academic PDFs using template-driven report generation, which applies local reference templates to ensure reproducible structure across all your research analysis outputs.

Does this paper analysis approach work with URL-accessible publications?

This paper analysis approach works with URL-accessible publications by downloading the linked document to perform full-text extraction, enabling template-driven dual-mode report generation for both deep analysis and quick summaries.

What is the best way to analyze a conference paper for a grant application?

The best way to analyze a conference paper for a grant application is using dual-mode report generation, which produces a rigorous in-depth critique for peer discussion and a concise high-value summary for the application narrative.