From iris-dev
Operates IRIS Interoperability (Ensemble) productions: check status, manage lifecycle, inspect queues, search messages, and recover faulted components.
How this skill is triggered — by the user, by Claude, or both
Slash command
/iris-dev:ensemble-productionThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Operate IRIS Interoperability (Ensemble) productions safely: check status before touching
Operate IRIS Interoperability (Ensemble) productions safely: check status before touching anything, use targeted tools for each operation type, and always verify after a change.
Check status first — call interop_production_status with full_status=true
to see which components are running, faulted, or disabled.
Check queues — call interop_queues if you suspect backlog or blocked messages.
High queue depth on a specific component indicates a bottleneck or fault in that component.
Search messages — call interop_message_search to find specific messages by body
content, session ID, sender, or time range. This is the fastest way to trace a failed
transaction end-to-end.
Check logs — call interop_logs filtered to the component and time window of interest.
Look for ERROR or WARNING severity entries.
interop_production_needs_update — if it returns false, no action needed.interop_production_update (hot-apply, no downtime).interop_production_status that all components are still running.Only restart if status shows the production is stopped or stuck:
# Graceful stop (waits for in-flight messages)
interop_production_stop(timeout=30, force=false)
# Start with the production class name
interop_production_start(production="MyApp.Productions.Main", namespace="MYNS")
# Confirm
interop_production_status(full_status=true)
If the production is in an error state (stuck, partially started), call interop_production_recover.
This performs the equivalent of the Management Portal "Recover" button.
| Tool | When to use |
|---|---|
interop_production_status | Always first — baseline state before any action |
interop_production_start | Start a stopped production |
interop_production_stop | Graceful or forced stop |
interop_production_update | Hot-apply config changes (no restart needed) |
interop_production_needs_update | Check before deciding whether to update |
interop_production_recover | Un-stick a faulted/partially-started production |
interop_logs | Component-level log entries (filter by component + severity) |
interop_queues | Queue depth per component — spot bottlenecks |
interop_message_search | Trace specific messages by content, session, or time |
Production must be running before HS.FHIRServer.Tools.DataLoader.SubmitResourceFiles().
Without a running production, DataLoader silently does nothing — no error, no resources loaded.
// Always start the production before loading FHIR data
Do ##class(Ens.Director).StartProduction("HS.FHIRServer.Production")
// Then load
Do ##class(HS.FHIRServer.Tools.DataLoader).SubmitResourceFiles(
"/tmp/ndjson", "FHIRServer", "/csp/healthshare/READYAI/fhir/r4", 1)
force=true) unless graceful stop has timed out. Force-stop drops
in-flight messages.interop_production_needs_update before interop_production_update — calling
update when not needed is a no-op, but it's good hygiene to confirm first.namespace parameter. Default is USER.
Productions in HSCUSTOM or application-specific namespaces require the correct namespace.update instead. Restart loses in-flight messages.When reporting production state:
Production:
MyApp.Productions.Main— RUNNING Components: 12 running, 0 faulted, 2 disabled Queue depth: BusinessProcess.OrderHandler: 0, BusinessOperation.SendHL7: 3
When tracing a message failure:
Session
12345: Failed atBusinessOperation.SendHL7— ERROR: Connection refused Fix: Check the outbound adapter host/port configuration for SendHL7
npx claudepluginhub intersystems-community/iris-agentic-devProvides accurate, verified facts about IRIS product capabilities — MCP native support, iFind full-text search, HL7/Interoperability, mirroring, IRIS for Health vs HealthShare. Use when AI invents or denies features.
Runs Intercom production checklist for auth, API errors/rate limits, webhooks, data handling, monitoring before deploying integrations to prod.
Executes Fireflies.ai production checklist for integrations: API keys, webhooks with signature verification, GraphQL health checks, monitoring, rollback.