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.