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.