Loop Returns for Openclaw

A powerful integration for automating Shopify returns, exchanges, and customer service workflows through a managed API interface.

gora050
v1.0.4
May 1, 2026
0
408
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install loop-returns

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install loop-returns using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Loop Returns?

The Loop Returns skill is a comprehensive integration designed for Shopify merchants to automate the post-purchase experience. By leveraging this skill within Openclaw Skills, developers and AI agents can programmatically manage Return Merchandise Authorizations (RMAs), store credits, and instant exchanges without the overhead of manual credential management.

Built on the Membrane framework, it provides a secure bridge to the Loop Returns API, handling complex authentication flows and token refreshes automatically. This allows for seamless interaction with merchant data, shipping labels, and warehouse status updates, ensuring that customer retention remains high while operational friction is minimized.

Loop Returns Use Cases

  • Automating the creation and tracking of Return Merchandise Authorizations (RMAs) for Shopify orders.
  • Retrieving real-time status updates on package inspections, weights, and warehouse receipts.
  • Synchronizing customer return history with external CRM or support platforms.
  • Managing complex exchange logic including store credit issuance and shipping method selection.
  • Generating activity logs and audit trails for package events and resolutions.

How Loop Returns Works

  1. Initialize the environment by installing the Membrane CLI and authenticating your agent.
  2. Create a secure connection to the Loop Returns domain, which handles OAuth or API key negotiation server-side.
  3. Use natural language intent discovery to find specific actions like listing returns or updating package statuses.
  4. Execute pre-built actions that come with built-in pagination and error handling.
  5. Optionally use the proxy request feature to call specialized Loop Returns endpoints while maintaining automated header injection.

Loop Returns Setup

First, install the necessary CLI tool globally:

npm install -g @membranehq/cli@latest

Authenticate your agent (replace <agentType> with openclaw):

membrane login --tenant --clientName=openclaw

Establish the connection to Loop Returns:

membrane connection ensure "https://www.loopreturns.com/" --json

Loop Returns Data Schema & Taxonomy

The skill organizes data into several core entities and an extensive package tracking taxonomy. Below is a high-level overview of the primary data objects:

Entity Group Primary Data Points
Core Objects Returns (RMAs), Orders, Customers, Products, Merchants
Logistics Warehouses, Shipping Methods, Return Centers, Labels
Package Metadata Dimensions, Weights, Conditions, Scan Events, Photos
System Activity Logs, Webhooks, Integrations, Roles, Teams

All interactions return structured JSON, allowing for deep inspection of package-level details such as Package Damages, Package Milestones, and Package Compliance.

Loop Returns Advanced Features

  • Intent-based Action Discovery: Find the right API function using natural language queries instead of browsing documentation.
  • Managed Proxy Layer: Perform raw API requests to any Loop Returns endpoint with automatic authentication injection.
  • Headless Authentication: Support for remote or CI/CD environments via manual authorization URL completion.
  • Long-polling Connection States: Use the --wait flag to synchronize asynchronous connection building in automated scripts.
  • Native JSON Output: Every command supports a --json flag for easy integration into multi-agent pipelines.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*