算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
aem-workflow【设计与创意】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 diagno…
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Route user requests to the appropriate specialist skill based on intent.
| User Intent | Skill | Path |
|---|---|---|
| Create a workflow model, add steps, design OR/AND splits, configure variables | Model Design | workflow-model-design/SKILL.md |
| Implement a custom WorkflowProcess step, ParticipantStepChooser, OSGi service registration | Development | workflow-development/SKILL.md |
| Start a workflow from code, HTTP API, Timeline UI, Manage Publication | Triggering | workflow-triggering/SKILL.md |
| Configure a launcher, auto-start on asset upload, overlay OOTB launcher | Launchers | workflow-launchers/SKILL.md |
| Workflow stuck, failed step, missing Inbox task, stale instances, thread pool exhaustion, purge | Debugging | workflow-debugging/SKILL.md |
| Classify a workflow incident, determine required logs, Splunk queries, data gathering checklist | Triaging | workflow-triaging/SKILL.md |
| End-to-end lifecycle or requests spanning multiple concerns | Orchestrator | workflow-orchestrator/SKILL.md |
| Constraint | Detail |
|---|---|
| No JMX | No retryFailedWorkItems, countStaleWorkflows, restartStaleWorkflows, purgeCompleted via JMX |
/libs is immutable | Never write to /libs; use /conf/global/ or /apps/ overlays |
| Model design-time path | /conf/global/settings/workflow/models/<id> |
| Model runtime path (for API calls) | /var/workflow/models/<id> |
| Launcher config path | /conf/global/settings/workflow/launcher/config/ |
| Service users | Always use workflow-process-service sub-service; never admin credentials |
| OSGi annotations | DS R6 (@Component, @Reference from org.osgi.service.component.annotations) |
| Deploy via | Cloud Manager pipeline — no Package Manager in production |