.claude/skills/huawei-cloud-cloudrobo-model-workflowRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Model development orchestration Skill covering asset query, model training, inference deployment, and real-robot evaluation in any combination. Supports full end-to-end pipeline or partial stages (e.g., train+deploy only, deploy+eval only). When user requirements involve two or more stages, prefer this Skill over individual module Skills. Triggers include: "用XX机器人训练XX任务", "so101 插笔", "训练部署", "部署评测", "训练评测部署", "模型开发流程", "端到端训练", "训练推理评测", "只训练不评测", "训练完部署", "model workflow", "end-to-end training", "train and deploy…
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.claude/skills/huawei-cloud-cloudrobo-model-workflowRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/huawei-cloud-cloudrobo-model-workflowRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/huawei-cloud-cloudrobo-model-workflowRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @huaweicloudskill/huawei-cloud-cloudrobo-model-workflowclawhub inspect @huaweicloudskill/huawei-cloud-cloudrobo-model-workflow --version 1.0.1This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:ec6dbe4eaaffee19bf6b910a9267ef2fce5596c0dd5a956cf71ade887187cf8creferences/acceptance-criteria.mdreferences/cli-installation-guide.mdreferences/constraints.mdreferences/dataflow-diagram.mdreferences/fault-recovery.mdreferences/iam-policies.mdreferences/model-ext-metadata.mdreferences/openpi-rename-map.mdreferences/pipeline-templates.mdreferences/robot-selection-guide.mdreferences/verification-method.mdskill-card.mdSKILL.mdhuawei-cloud-cloudrobo-model-workflow v1.0.1 - Initial release of a unified orchestration Skill for multi-stage model development workflows on CloudRobo. - Supports asset query, model training, inference deployment, real-robot evaluation, and flexible combinations (e.g., train+deploy, deploy+eval, end-to-end). - Provides strict data flow and stage dependency contracts for robust automation and user guidance. - Enforces CLI-only operation (no Python SDK), with usage and platform-specific notes for Windows/PowerShell. - Explicit user prompting for model/dataset selection and hyperparameter confirmation/customization. - Includes input requirement tables and example CLI usage for data/assets at each stage. - Preferred solution for scenarios covering two or more workflow stages versus individual module Skills.