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summarization

Condense long-form text into concise summaries using multiple summarization techniques.

147|32|Updated Feb 11, 2026

Search Tags:#summarization #document analysis #information extraction #text condensation #abstractive summarization #extractive summarization

Ready to run

npx skills add https://github.com/seb1n/awesome-ai-agent-skills --skill summarization-seb1n

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: summarization
Source: https://github.com/seb1n/awesome-ai-agent-skills/tree/main/research-and-knowledge/summarization
Command: npx skills add https://github.com/seb1n/awesome-ai-agent-skills --skill summarization-seb1n

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of information overload by providing a way to quickly distill large amounts of text into digestible summaries, saving users time and improving comprehension.

Core Features & Use Cases

Multiple Summarization Strategies: Supports extractive, abstractive, hierarchical, and multi-document summarization.
Configurable Detail Levels: Generates summaries ranging from a single sentence to a detailed breakdown.
Use Case: Quickly grasp the key points of a lengthy research paper, meeting transcript, or technical document without reading the entire text.

Quick Start

Summarize the provided document into a short paragraph and a detailed section-by-section breakdown, focusing on the proposed changes and their backward-compatibility impact.

Frequently Asked Questions about summarization

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

FAQPage Schema

How do I summarize a lengthy research paper into key findings and core claims?▼

To summarize a research paper, you can condense the long-form text into concise summaries that identify core claims, findings, and supporting data while preserving factual accuracy. It supports configurable detail levels ranging from a single sentence to a detailed section-by-section breakdown.

What is the best way to condense meeting notes into a short paragraph with decisions highlighted?▼

Condensing meeting notes is best handled using abstractive summarization to generate a short paragraph that highlights decisions and core points. This approach extracts the necessary information while maintaining the logical structure of the original transcript.

Can I summarize multiple documents together to extract cross-document information?▼

Yes, you can summarize multiple documents together using multi-document summarization techniques. This allows you to condense several related texts into a single digestible summary while preserving factual accuracy across all sources.

Does text condensation support different detail levels for technical documents?▼

Text condensation fully supports configurable detail levels for technical documents, ranging from a single sentence to a detailed breakdown. You can generate summaries that focus on proposed changes, technical findings, and backward-compatibility impacts.

What is the difference between extractive and abstractive summarization for articles?▼

Extractive summarization pulls key sentences directly from the article, while abstractive summarization generates new concise text that captures the core points. Both techniques identify findings and decisions while maintaining the original logical structure.

Why does summarization fail to preserve the logical structure of my technical document?▼

Summarization preserves logical structure by identifying hierarchical relationships within technical documents. If structure is lost, ensure you use hierarchical summarization techniques and configure the detail level to generate a section-by-section breakdown rather than a single paragraph.