synthesizer

Merge medical analyses into a patient-facing narrative with inline citations.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/n1healthcare/easy-chr --skill synthesizer-n1healthcare
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: synthesizer
Source: https://github.com/n1healthcare/easy-chr/tree/main/server/.gemini/skills/synthesizer
Command: npx skills add https://github.com/n1healthcare/easy-chr --skill synthesizer-n1healthcare

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of turning fragmented medical analyses and cross-system data into a single, patient-facing health narrative, ensuring critical details are preserved and citations are included.

Core Features & Use Cases

  • Unified Synthesis: merges extracted data (extracted.md), analytical narratives (analysis.md), and cross-system connections (cross_systems.md) into a prioritized patient story.
  • Data Preservation: preserves all sections from the agentic analysis (diagnoses, timeline, prognosis, supplement schedules, etc.).
  • Evidence-Driven: embeds inline citations from research findings to support medical claims [1], [2], [3].
  • Multi-Source Context: integrates findings from research.json and references to maintain source-of-truth fidelity.
  • Output Ready: produces a patient-facing narrative ready for care planning and discussion.

Quick Start

Provide a unified health narrative by combining analysis.md and cross_systems.md with extracted.md and research.json; preserve all sections and include citations.

Frequently Asked Questions about synthesizer

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

FAQPage Schema
How do I turn fragmented medical analysis into a single patient narrative?

To turn fragmented medical analysis into a single patient narrative, this Skill merges extracted data, analytical narratives, and cross-system connections into a unified, patient-facing health story. It preserves all agentic sections while embedding inline citations from research findings.

What is the best way to combine cross-system medical data for patient communication?

Combining cross-system medical data for patient communication involves integrating cross_systems.md, analysis.md, and extracted.md into a prioritized story. This ensures source-of-truth fidelity while producing an output ready for care planning and discussion.

How do I maintain source-of-truth fidelity when synthesizing medical analysis?

Maintaining source-of-truth fidelity when synthesizing medical analysis requires integrating findings from research.json and references alongside extracted data. This approach unifies data sources without losing critical details or medical claims.

Does the synthesized patient narrative preserve all original medical sections and supplement schedules?

Yes, the synthesized patient narrative preserves all sections from the agentic analysis, including diagnoses, timelines, prognoses, and supplement schedules. This ensures critical details are maintained while presenting a unified story.

Can I include inline citations for medical research findings in a patient-facing health narrative?

Yes, you can include inline citations for medical research findings in a patient-facing health narrative. The synthesis process embeds evidence-driven citations directly within the unified story to support medical claims and maintain source integrity.