kubeflow-pipeline-executor

# kubeflow-pipeline-executor ## Overview Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML operations. ## Capabilities - Pipeline definition and compilation - Component creation and reuse - Pipeline versioning - Artifact tracking and lineage - Kubernetes resource management - Pipeline scheduling and triggering - Caching for component outputs - Visualization of pipeline runs ## Target Processes - Model Training Pipeline - Distributed Training Orchestration - Model Deployment Pipeline - ML Model Retraining Pipeline ## Tools and Libraries - Kubeflow Pipelines - KFP SDK (v2) - Kubernetes - Argo Workflows ## Input Schema ```json { "type": "object", "required": ["action"], "properties": { "action": { "type": "string", "enum": ["compile", "run", "schedule", "list", "get-run", "delete"], "description": "KFP action to perform" }, "pipelinePath": { "type": "string", "description": "Path to pipeline definition file" }, "pipelineConfig": { "type": "object", "properties": { "name": { "type": "string" }, "description": { "type": "string" }, "parameters": { "type": "object" } } }, "runConfig": { "type": "object", "properties": { "experimentName": { "type": "string" }, "runName": { "type": "string" }, "arguments": { "type": "object" } } }, "scheduleConfig": { "type": "ob...