.claude/skills/huawei-cloud-cloudrobo-dispatchRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Manage CloudRobo embodied-agent task dispatch (robo-dispatcher) — create embodied tasks that drive a robot via an exec/model and constraints, list/show tasks in a session, cancel tasks, and retrieve task results. Dispatch orchestrates robots (robot_id from cloudrobo-robot) with inference models (exec_model_id from cloudrobo-infer / cloudrobo-asset) inside a session. Triggers include: dispatch, dispatcher, task dispatch, embodied task, agent task, run task on robot, task scheduling, cancel task, task result, robo-d…
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These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/huawei-cloud-cloudrobo-dispatchRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/huawei-cloud-cloudrobo-dispatchRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/huawei-cloud-cloudrobo-dispatchRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @huaweicloudskill/huawei-cloud-cloudrobo-dispatchclawhub inspect @huaweicloudskill/huawei-cloud-cloudrobo-dispatch --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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sha256:945f8352d25a4d91fc48907dd4fa0ab997927322950b2dec6f0d7ec695b64fe2references/acceptance-criteria.mdreferences/cli-installation-guide.mdreferences/dataflow-diagram.mdreferences/iam-policies.mdreferences/validation-rules.mdreferences/verification-method.mdscripts/test-cli-commands.shskill-card.mdSKILL.mdtemplates/test-vars.json- Initial release of `huawei-cloud-cloudrobo-dispatch` skill for CloudRobo embodied-agent task management. - Supports creating, listing, monitoring (blocking wait), canceling, and retrieving results for robot tasks within a workspace session. - Integrates robots and execution models to run natural-language-driven tasks on target robots. - Enforces stop conditions (max run time, iteration limits) for dispatched tasks. - Provides detailed guidance for resolving required IDs (robot, session, exec model) and deploying services. - Documentation updated with workflow examples and key usage scenarios.