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liangdabiao
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synthesizer

Consolidate multiple research agent outputs into a structured report with citations.

277|46|Updated Dec 25, 2025
Search Tags:#research#multi-agent#citations#consensus#synthesize#contradictions
One-click install
npx skills add https://github.com/liangdabiao/Claude-Code-Deep-Research-main --skill synthesizer-liangdabiao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: synthesizer
Source: https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/synthesizer
Command: npx skills add https://github.com/liangdabiao/Claude-Code-Deep-Research-main --skill synthesizer-liangdabiao

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers combine findings from multiple agents into a single, structured report, resolving conflicts and preserving source attributions.

Core Features & Use Cases

  • Integrates Findings: Merges results from multiple research agents into one narrative.
  • Contradiction Resolution: Identifies and explains conflicting data with balanced perspectives.
  • Consensus & Gaps: Highlights areas of agreement and outlines knowledge gaps.
  • Narrative Synthesis: Constructs a logical flow from introduction to conclusions, with proper citations.

Quick Start

To begin, provide a collection topic and relevant agent outputs; the synthesizer will generate a fully structured report and save it to the designated output location.

Frequently Asked Questions about synthesizer

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

FAQPage Schema
How do I consolidate findings from multiple research agents into a single report?▼

Consolidate findings by providing agent outputs to the synthesizer, which merges results into one structured narrative, resolves contradictions, and preserves citations from each source for a coherent final document.

How does the synthesizer handle conflicting data from different research sources?▼

The synthesizer identifies contradictions between sources, explains conflicting data with balanced perspectives, and highlights consensus areas alongside knowledge gaps to support informed decision-making.

Can I maintain source attributions when combining multi-agent research outputs?▼

Yes, the synthesizer preserves source provenance throughout the synthesis process, maintaining citations and traceability so each finding links back to its original research agent.

What's the best way to structure findings from multiple agents into a logical narrative?▼

The synthesizer constructs a logical flow from introduction through conclusions, organizing merged findings with proper citations and structured sections that create a coherent narrative across all agent outputs.

Does the synthesizer work with outputs from GoT-style multi-agent frameworks?▼

Yes, the synthesizer operates across GoT-style outputs, consolidating findings from graph-of-thought agent architectures into unified reports that resolve conflicts and surface consensus.

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