Adobe Commerce integration. Manage data, records, and automate workflows. Use when the user wants to interact with Adobe Commerce data.
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Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/adobe-commerce/SKILL.mdAdobe Commerce is an e-commerce platform that allows businesses to build and manage online stores. It provides tools for product management, marketing, and order fulfillment. It is typically used by medium to large-sized businesses looking for a scalable and customizable e-commerce solution.
Official docs: https://developer.adobe.com/commerce/
Use action names and parameters as needed.
This skill uses the Membrane CLI to interact with Adobe Commerce. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.
Install the Membrane CLI so you can run membrane from the terminal:
npm install -g @membranehq/cli@latestmembrane login --tenant --clientName=<agentType>This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.
Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with: Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness
membrane login complete <code>Add --json to any command for machine-readable JSON output.
Use connection ensure to find an existing connection or create a new one automatically:
membrane connection ensure "adobe-commerce" --jsonThis will check if connection already exist and create a new one if missing
If the returned connection has state: "READY", proceed to searching for actions.
If the connection is in BUILDING state, poll until it's ready:
membrane connection get <id> --wait --jsonThe --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.
READY — connection is fully set up. Proceed to searching for actions.CLIENT_ACTION_REQUIRED — the user or agent needs to do something. The clientAction object describes the required action:
clientAction.type: "connect" (user needs to authenticate) or "provide-input" (more information needed).clientAction.description: human-readable explanation of what's needed.clientAction.uiUrl (optional): URL to a pre-built UI where the user can complete the action. Show this to the user when present.clientAction.agentInstructions (optional): instructions for the AI agent on how to proceed programmatically.
After the user completes the action, poll again with membrane connection get <id> --json to check if the state moved to READY.CONFIGURATION_ERROR or SETUP_FAILED — something went wrong. Check the error field for details.membrane connection list --jsonSearch using a natural language description of what you want to do:
membrane action list --connectionId=CONNECTION_ID --intent "QUERY" --limit 10 --jsonYou should always search for actions in the context of a specific connection.
Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).
Use npx @membranehq/cli@latest action list --intent=QUERY --connectionId=CONNECTION_ID --json to discover available actions.
If no suitable action exists, describe what you want — Membrane will build it automatically:
membrane action create "DESCRIPTION" --connectionId=CONNECTION_ID --jsonThe action starts in BUILDING state. Poll until it's ready:
membrane action get <id> --wait --jsonThe --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.
READY — action is fully built. Proceed to running it.CONFIGURATION_ERROR or SETUP_FAILED — something went wrong. Check the error field for details.membrane action run <actionId> --connectionId=CONNECTION_ID --jsonTo pass JSON parameters:
membrane action run <actionId> --connectionId=CONNECTION_ID --input '{"key": "value"}' --jsonThe result is in the output field of the response.
membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.88db8c5
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.