Summarize Pro

Summarize PDFs, web pages, videos, and code files in 7 output modes.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/traygerbig/clawhub-skills --skill summarize-pro-traygerbig
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Summarize Pro
Source: https://github.com/traygerbig/clawhub-skills/tree/main/archive/summarize-pro
Command: npx skills add https://github.com/traygerbig/clawhub-skills --skill summarize-pro-traygerbig

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Summarize Pro solves the challenge of efficiently comprehending lengthy documents and sources by automatically generating concise summaries that preserve the core information.

Core Features & Use Cases

  • Multi-mode Summarization: Offers 7 output modes for various summary formats including bullets, executive, academic, mindmap, table, timeline, and QA.
  • Multi-language Support: Summarizes content in 8 languages, including English, Japanese, Chinese, Korean, Spanish, French, German, and Portuguese.
  • Advanced Compression: Utilizes Chain-of-Density compression to produce information-dense summaries.
  • Comparison Mode: Enables comparison of multiple sources for comprehensive analysis.
  • Caching: Caches summaries for faster access and efficiency.
  • Offline Support: Allows summarization of local files without internet access.
  • Use Case: Summarize Pro can be used to quickly understand complex research papers, lengthy reports, or large amounts of web content, saving time and improving productivity.

Quick Start

Run the summarize-pro skill with the 'summarize' command followed by the source content you want to summarize.

Frequently Asked Questions about Summarize Pro

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

FAQPage Schema
How do I summarize YouTube videos and PDFs into different formats?

To summarize YouTube videos and PDFs, you use a multi-mode text summarization process that distills content into formats like bullets, mindmaps, tables, timelines, or QA. This preserves core information from diverse sources efficiently.

What is Chain-of-Density compression for document analysis?

Chain-of-Density compression is an advanced text summarization technique that produces information-dense summaries. It distills lengthy documents by iteratively compressing content to preserve essential information while reducing overall text length.

Can I summarize content in Japanese, Chinese, and Korean?

Yes, you can summarize content in Japanese, Chinese, and Korean. The multi-language summarization supports 8 languages including English, Spanish, French, German, and Portuguese for diverse content comprehension.

Does offline document analysis work without an internet connection?

Yes, offline document analysis works without an internet connection. It utilizes local language models and file parsing to summarize local files, allowing you to process content securely without needing web access.

How do I compare multiple sources for comprehensive analysis?

You compare multiple sources by using the comparison mode during document analysis. This feature enables side-by-side evaluation of diverse content sources to generate a comprehensive summary of the differing information.

What are the limitations of automated content compression for research papers?

A limitation of automated content compression is that while it distills essential information efficiently, complex research papers may lose nuanced context. It provides 7 output formats but relies on local language models for parsing.