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Investigate and triage runtime incidents involving the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration in AEM as a Cloud Service environments only, using runtime-backed MCP evidence.
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SOC 職業分類に基づく
Single entry point for all AEM as a Cloud Service Workflow skills. Covers workflow model design, custom process step and participant chooser development, launcher configuration, workflow triggering, and production support including debugging stuck/failed workflows, triaging incidents with Cloud Manager logs, thread pool analysis, and Sling Job diagnostics for the Granite Workflow Engine.
Debug AEM Workflow issues on AEM as a Cloud Service including stuck workflows, failed steps, missing Inbox tasks, launcher failures, stale instances, thread pool exhaustion, queue backlogs, purge failures, and permissions errors. Use when the user reports workflow problems on Cloud Service, asks why a workflow is stuck or failed, needs step-by-step troubleshooting, or provides thread dumps, configuration output, or Sling Job console output for analysis.
Implement custom AEM Workflow Java components on AEM as a Cloud Service. Use when writing WorkflowProcess steps, ParticipantStepChooser implementations, registering services via OSGi DS R6 annotations, reading step arguments from MetaDataMap, accessing JCR payload via WorkflowSession adapter, reading and writing workflow metadata and variables, and handling errors with WorkflowException for retry behavior.
Design and create AEM Workflow models on AEM as a Cloud Service. Use when creating workflow models via the Workflow Model Editor or content package XML, defining step types (PROCESS, PARTICIPANT, DYNAMIC_PARTICIPANT, OR_SPLIT, AND_SPLIT), configuring step properties, declaring workflow variables, and deploying models through the Cloud Manager pipeline.
Triage AEM Workflow issues on AEM as a Cloud Service by classifying symptoms, gathering the right logs and metrics, and mapping to runbooks or Splunk searches. Use when the user asks for workflow activity/errors on a Cloud Service host, needs to classify a Jira ticket, or wants to know what to collect for workflow debugging.
Start AEM Workflows on AEM as a Cloud Service using all available triggering mechanisms. Use when starting workflows manually via the Timeline UI, programmatically via WorkflowSession.startWorkflow(), via the HTTP Workflow API, through Manage Publication, or passing initial metadata and payload to a workflow instance.
| name | incident-response |
| description | Investigate and triage runtime incidents involving the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration in AEM as a Cloud Service environments only, using runtime-backed MCP evidence. |
| license | Apache-2.0 |
| compatibility | Requires Dispatcher MCP configured for cloud variant (`AEM_DEPLOYMENT_MODE=cloud`). |
| allowed-tools | ["validate","lint","sdk","trace_request","inspect_cache","monitor_metrics","tail_logs"] |
| metadata | {"mcp-tool-contract":"core-7-tools"} |
Investigate cloud runtime incidents involving the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration with an evidence-first workflow.
Use only these Dispatcher MCP tools:
monitor_metricstail_logstrace_requestinspect_cachevalidatelintsdkmonitor_metrics).tail_logs, trace_request). To get the full log sequence for a specific request: use tail_logs to obtain entries (some include pid and tid from dispatcher debug lines), then call trace_request(pid=..., tid=...) to retrieve all log lines for that request. See mcp-tool-orchestration.md § Trace by pid:tid.inspect_cache).validate, lint, sdk).Use shared references to select incident evidence depth:
Always return: