synthesis

Aggregate sources, extract claims, and synthesize evidence-weighted answers.

1.9k|124|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/yologdev/yoyo-evolve --skill synthesis-yologdev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: synthesis
Source: https://github.com/yologdev/yoyo-evolve/tree/main/skills/synthesis
Command: npx skills add https://github.com/yologdev/yoyo-evolve --skill synthesis-yologdev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Aggregates and compares insights from 3+ sources (or any source >5KB) to deliver a coherent, source-backed synthesis.

Core Features & Use Cases

  • Multi-source fusion: fetches, stores, and cross-references multiple sources in a shared state.
  • Sub-agent orchestration: dispatches per-source sub-agents to extract key claims and evidence.
  • Structured synthesis: produces a final, evidence-weighted answer with identified consensus, disagreements, and gaps.

Quick Start

Provide a research question and a list of sources to begin the synthesis.

Frequently Asked Questions about synthesis

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

FAQPage Schema
How do I synthesize research from multiple sources to find consensus and disagreements?

Multi-source research synthesis aggregates 3 or more credible sources, dispatching per-source sub-agents to extract key claims and evidence, then summarizes agreements, disagreements, and gaps into an evidence-weighted answer.

What is the best way to extract evidence and rank claims from multiple research documents?

Sub-agent orchestration extracts evidence by dispatching a dedicated sub-agent for each source, ranking extracted claims by source relevance and confidence to produce a structured synthesis for downstream tasks.

Can I compare insights from several large documents without losing source context?

Yes, the synthesis process stores sources larger than 5KB in a shared state, cross-referencing them to maintain context while sub-agents extract key claims for comparison.

How does multi-source evidence synthesis handle conflicting information across studies?

Evidence synthesis identifies disagreements and research gaps by comparing extracted claims across all stored sources, weighting the findings by source confidence to deliver a structured final answer.

Do I need to provide specific sources to start a multi-source research synthesis?

Yes, you need to provide a focused research question and a list of credible sources to initiate the sub-agent orchestration and begin the per-source extraction process.

When should I use sub-agent orchestration for research synthesis instead of a single query?

Sub-agent orchestration is necessary when aggregating 3 or more sources or any source exceeding 5KB, ensuring structured cross-referencing and evidence-weighted synthesis rather than a simple summary.