content-summarizer

Summarizes long texts into structured brief, standard, and detailed outputs with optional keywords.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/lordking/lee-second-brain-os --skill content-summarizer-lordking
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-summarizer
Source: https://github.com/lordking/lee-second-brain-os/tree/main/skills/kb-summarizing
Command: npx skills add https://github.com/lordking/lee-second-brain-os --skill content-summarizer-lordking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

对长文本进行快速、结构化摘要,帮助你在保持要点与原文结构的前提下缩短阅读时间。

Core Features & Use Cases

  • 支持 brief、standard、detailed 三种摘要长度,适用于网页文章、会议记录、文档要点提炼。
  • 保留文档的标题、列表等结构,便于后续检索与索引。
  • 可选提取关键词,提升检索与洞察速度。

Quick Start

请提供待摘要的文本或链接,系统将返回多长度结构化摘要。

Frequently Asked Questions about content-summarizer

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

FAQPage Schema
How do I summarize long texts while preserving the original document structure?

To summarize long texts while preserving structure, you can generate structured, multi-length outputs that retain headings and lists from articles or meeting notes. This provides concise briefs without losing key points or document formatting.

Can I extract keywords from meeting notes alongside the summary?

Yes, you can extract keywords from meeting notes alongside the summary. The process produces structured summaries with optional keyword extraction, helping you speed up retrieval and gain faster insights from the document.

What is the best way to generate different summary lengths for long articles?

The best way to generate different summary lengths for long articles is using a system that produces brief, standard, and detailed outputs. This allows you to choose the appropriate level of detail for your specific reading needs.

How do I get a brief summary from a long document for quick reading?

To get a brief summary from a long document for quick reading, provide the text or link to the summarization tool. It will return a structured, concise output that shortens reading time while maintaining the essential points.

Does the summarization process support language control for multi-lingual texts?

Yes, the summarization process supports language control for multi-lingual texts. It applies strict schema validation to produce structured outputs, allowing you to manage the language of the generated brief, standard, or detailed summaries.