Dell Data Orchestration Engine

Plugin dell-data-orchestration-engine in dell/dell-harness-plugin. Commands read from the repo's manifest — 3 days ago.

Skills (6)

• build-dataloop-image-classifiers

  Plan and operate governed image-classification workflows in Dell Data Orchestration Engine (Dataloop), including dataset readiness, marketplace model selection, subsets, training, deployment, prediction, and annotation review. Use when a user requests an image classifier or model-assisted image labe

• build-dataloop-rag-workflows

  Plan, build, validate, and query governed document RAG pipelines in Dell Data Orchestration Engine (Dataloop). Use for PDF ingestion, chunking, embeddings, searchable output datasets, RAG pipeline graphs, installation, or bounded semantic queries. Do not use for a generic local vector database reque

• configure-dell-data-orchestration-engine

  Configure, authenticate, validate, and troubleshoot the Dell Data Orchestration Engine (Dataloop) Python SDK MCP integration. Use for Dataloop API-key setup, bundled MCP runtime installation, MCP profile selection, connection validation, TLS settings, or tool-catalog and authorization problems. Do n

• detect-and-handle-dataloop-pii

  Assess and handle personally identifiable information in authorized Dataloop datasets using aggregate reports, reviewed findings, metadata writeback, and filters. Use for PII inventory, remediation planning, or policy-driven exclusion. Do not use for PII in local files or non-Dataloop sources. Never

• explore-dataloop-datasets

  Discover, profile, and inspect authorized Dataloop projects, datasets, items, and annotations. Use when a user asks what data is available, wants dataset composition or quality evidence, needs a bounded item search, or wants to understand labels without changing data. Do not use for DDAE, Elastic, o

• operate-dataloop-pipelines

  Validate, install, run, inspect, and recover authorized Dell Data Orchestration Engine pipelines through Dataloop. Use when a user asks to validate a pipeline, start an approved execution, inspect execution status, stop (pause) or delete an installed pipeline, or terminate an exact stuck execution.

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