synthesis

Aggregate upstream analysis claims into a cited narrative with consensus notes.

1|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/hellonish/singularity --skill synthesis-hellonish
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: synthesis
Source: https://github.com/hellonish/singularity/tree/main/SKILLS/tier2_analysis/synthesis
Command: npx skills add https://github.com/hellonish/singularity --skill synthesis-hellonish

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesis addresses the need to fuse disparate information streams into a single, coherent narrative. It preserves source citations and avoids cherry-picking, enabling traceable, aggregated insight from multiple upstream analyses.

Core Features & Use Cases

  • Aggregate claims from several upstream nodes (retrieval/analysis) and cluster them by theme.
  • Identify consensus, contradictions, and complementary details, then present a synthesized narrative with explicit citations.
  • Support downstream tasks such as reporting, decision-making, or Q&A pipelines.

Quick Start

Provide at least two upstream analysis outputs containing claims with citations to be synthesized into a unified analysis.

Frequently Asked Questions about synthesis

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

FAQPage Schema
How do I synthesize findings from multiple upstream analyses into one narrative?▼

To synthesize findings from multiple upstream analyses, provide at least two upstream analysis outputs. The Skill aggregates claims, clusters them by theme, and produces a unified narrative with traceable citations and consensus notes.

What is the best way to aggregate evidence and identify consensus across research findings?▼

The best way to aggregate evidence and identify consensus is by clustering upstream claims by theme. This process highlights contradictions and complementary details, presenting a synthesized narrative with explicit source citations.

How do I combine multiple analysis outputs without cherry-picking data?▼

You combine multiple analysis outputs without cherry-picking by using a synthesis process that preserves source citations. It fuses disparate information streams into a coherent narrative while maintaining traceable, aggregated insight.

Does evidence synthesis work for risk assessment and decision support scenarios?▼

Evidence synthesis works for risk assessment and decision-support scenarios. It applies across domains requiring aggregated evidence, turning diverse findings into a cohesive narrative with hedging and clearly linked claims.

How do I maintain citation traceability when merging claims from different sources?▼

To maintain citation traceability when merging claims, the synthesis process produces an AnalysisOutput with explicitly linked claims and source citations. This avoids cherry-picking and ensures aggregated insight remains traceable.