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multi-document-summarization

Analyzes multiple related documents to produce unified syntheses and identify shared themes and conflicts.

Updated Mar 29, 2026
Search Tags:#summarization#document analysis#legal documents#research synthesis#conflict analysis#cross-document comparison#consensus detection
One-click install
npx skills add https://github.com/zizhenchen47-oss/claude-skills --skill multi-document-summarization-zizhenchen47-oss
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-document-summarization
Source: https://github.com/zizhenchen47-oss/claude-skills/tree/main/multi-document-summarization
Command: npx skills add https://github.com/zizhenchen47-oss/claude-skills --skill multi-document-summarization-zizhenchen47-oss

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps when one summary is not enough and you need to compare several related documents, extract shared points, spot disagreements, and turn them into a single coherent view.

Core Features & Use Cases

  • Cross-document synthesis for cases where the sources discuss the same topic from different angles.
  • Conflict detection for contradictory facts, arguments, or conclusions across contracts, rulings, papers, or reports.
  • Structured outputs such as summary tables, comparison matrices, conflict lists, and final insights.
  • Use it for legal case bundles, contract review, research literature comparisons, evidence organization, and policy analysis.

Quick Start

Summarize these related documents together, compare their common points and differences, and give me one unified overview with any conflicts clearly marked.

Frequently Asked Questions about multi-document-summarization

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

FAQPage Schema
How do I analyze multiple legal documents to find conflicts and shared themes?▼

Cross-document comparison analyzes multiple legal briefs or contracts to extract shared points, surface disagreements, and produce a unified synthesis with conflicts clearly labeled.

What is the best way to compare research papers and generate a unified literature overview?▼

Research synthesis compares multiple research papers by extracting per-document points, detecting consensus, and generating higher-level insights into a single structured overview.

Can I use cross-document comparison for policy analysis and evidence sets?▼

Yes, cross-document comparison applies to policy analysis and evidence sets by normalizing documents, extracting facts, and outputting comparison matrices and conflict lists.

Does this approach summarize single documents or synthesize multiple related texts?▼

This approach synthesizes multiple related texts rather than summarizing a single document, performing consensus detection and conflict labeling across the entire document set.

What output formats can I expect from multi-document summarization?▼

Multi-document summarization outputs structured formats including summary tables, comparison matrices, conflict lists, and final higher-level insights generated from the analyzed texts.

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