FHIR Community Research

Index Jira issues and Zulip messages into SQLite for full-text search.

3|Updated Jan 21, 2026

Search Tags:#research #community #offline #jira #full-text-search #fhir #zulip

Ready to run

npx skills add https://github.com/jmandel/fhir-community-search --skill fhir-community-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: FHIR Community Research
Source: https://github.com/jmandel/fhir-community-search/tree/main
Command: npx skills add https://github.com/jmandel/fhir-community-search --skill fhir-community-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

HL7 FHIR research often requires stitching together disparate community discussions and issue trackers. This Skill provides a local, indexable workspace that aggregates Jira issues and Zulip messages for fast searching and cross-linking.

Core Features & Use Cases

Local full-text search over Jira issues and Zulip messages using pre-indexed SQLite databases.
Read-and-snap research patterns: search, snapshot, and explore across data sources.
Parallel research workflow: delegate searches to Jira and Zulip in parallel, then synthesize findings for humans.
Cross-linking and synthesis: connect issues, discussions, and related artifacts to build evidence-based insights.

Quick Start

Run a parallel Jira and Zulip research session on a topic of interest to gather initial results.

Frequently Asked Questions about FHIR Community Research

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

FAQPage Schema

How do I search HL7 FHIR community discussions from Jira and Zulip locally?▼

You can conduct local FHIR research by indexing Jira issues and Zulip messages into SQLite databases, then using full-text search to query and cross-link community discussions offline for fast, snapshot-based exploration.

Can I run parallel research queries across FHIR Jira issues and Zulip messages?▼

Yes, this Skill supports a parallel research workflow that delegates searches to Jira and Zulip simultaneously, then synthesizes the findings into context-rich results for cross-linking community discussions and issues.

Do I need Bun and Node.js to index FHIR community data for offline search?▼

Yes, this Skill requires Bun and Node.js to download data, build pre-indexed SQLite databases, and execute offline full-text search commands over FHIR Jira issues and Zulip messages.

What is the best way to synthesize insights from multiple HL7 FHIR issue trackers?▼

The best way is to use the snapshot-based research pattern: search across pre-indexed Jira and Zulip SQLite databases, snapshot relevant results, and cross-link artifacts to synthesize evidence-based insights for decision-making.

Are there limitations to using SQLite for offline FHIR community research?▼

A key limitation is that research relies on pre-indexed SQLite database snapshots, meaning results reflect previously downloaded data rather than real-time live updates from Jira or Zulip.