huawei-cloud-cloudrobo-dataset

Windows / PowerShell: Examples use bash syntax. To run on Windows PowerShell:

• Flatten \ line continuations to a single line, or end lines with a backtick.
• Set env vars with $env:NAME="value" instead of export NAME="value".
• Single-quoted JSON '{"a":"b"}' works as-is.

Overview

The cloudrobo-dataset skill manages the full lifecycle of CloudRobo data processing (proc-tasks) and data evaluation (eval-tasks). It covers algorithm query, task CRUD operations, status polling, log retrieval (system + job) and download, output data preview, frame extraction, algorithm discovery from the asset marketplace, processing→evaluation pipeline orchestration, batch task management, and failure diagnosis.

Applicable scenarios: Task management (CRUD + restart), troubleshooting (log retrieval + error analysis), algorithm discovery, result verification (preview + frames), pipeline orchestration, batch management, analytics.

Architecture:

Agent / LLM
    │
    ├── CLI  →  cloudrobo dataset proc <command>     (proc-tasks)
    │           cloudrobo dataset eval <command>     (eval-tasks)
    ├── SDK  →  DatasetClient (Python)
                    │
                    ▼
              cloudrobo-service (REST API)
              /v1/data-eng/proc-tasks/*
              /v1/data-eng/eval-tasks/*

All operations target the cloudrobo-service backend and require a workspace_id (default workspace is used unless --workspace-id overrides it). Algorithm and dataset discovery is a cross-package operation that calls the cloudrobo-asset-manager service via cloudrobo asset.

Prerequisites

See references/cli-installation-guide.md for CLI installation, AK/SK authentication, and workspace configuration. All dataset operations require a valid workspace_id (default or explicit --workspace-id).

Workflow

Interactive Task Creation

All interactive creation workflows follow the Interaction Rules: at most one tool call per turn, display query results before asking the next question.