Agent Skills: Mage Remote Run

Guidance for using the Mage Remote Run CLI to manage Adobe Commerce, Magento Open Source, and Mage-OS instances remotely. Use when a user needs to: inspect or manage a remote Adobe Commerce, Magento Open Source, or Mage-OS instance; get help with mage-remote-run commands, flags, filters, or workflow design; configure connections, authentication, MCP server mode, plugins, or the interactive console; suggest automation-friendly command examples for CI/CD, scripts, or agent integrations.

UncategorizedID: muench-dev/agent-skills/mage-remote-run

Install this agent skill to your local

pnpm dlx add-skill https://github.com/muench-dev/agent-skills/tree/HEAD/skills/mage-remote-run

Skill Files

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skills/mage-remote-run/SKILL.md

Skill Metadata

Name
mage-remote-run
Description
"Guidance for using the Mage Remote Run CLI to manage Adobe Commerce, Magento Open Source, and Mage-OS instances remotely. Use when a user needs to: inspect or manage a remote Adobe Commerce, Magento Open Source, or Mage-OS instance; get help with mage-remote-run commands, flags, filters, or workflow design; configure connections, authentication, MCP server mode, plugins, or the interactive console; suggest automation-friendly command examples for CI/CD, scripts, or agent integrations."

Mage Remote Run

Mage Remote Run is a CLI toolkit for operating Adobe Commerce, Magento Open Source, and Mage-OS environments remotely. It supports SaaS, Cloud/PaaS, and on-premise deployments with commands covering stores, customers, orders, products, inventory, shipments, webhooks, imports, and more. Output can be rendered as text, JSON, or XML.

Core guidance

  1. Prefer concrete mage-remote-run command examples over abstract descriptions.
  2. Match the command set to the deployment type when relevant (SaaS-only, Adobe Commerce-only, on-prem/PaaS-only).
  3. Mention --format json when machine-readable output may be useful.
  4. For write or delete actions, call out confirmation, force flags, or environment-specific limitations.
  5. If the user is working with AI tooling, consider MCP mode and its filtering model.

Reference files

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