SmartRoutes Integration for Openclaw

A powerful logistics and route optimization skill that connects AI agents to the SmartRoutes API for automated fleet and delivery management.

gora050
v1.0.2
Apr 3, 2026
0
359
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install smartroutes

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 smartroutes 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 SmartRoutes Integration?

The SmartRoutes skill enables AI agents to seamlessly interact with the SmartRoutes platform, a premier route optimization and scheduling software. By leveraging this Openclaw Skills integration, developers and logistics teams can automate the planning of efficient routes, track driver progress, and manage complex delivery schedules through a unified interface.

Built on top of the Membrane framework, this skill removes the complexity of authentication and credential management. It provides a secure bridge to manage Organizations, Users, and Filters, ensuring that logistics data is always accessible and actionable for your AI-driven workflows.

SmartRoutes Integration Use Cases

  • Automating daily delivery route generation and stop assignments.
  • Real-time driver tracking and vehicle management for fleet operations.
  • Dynamic territory management and route adjustments based on live logistics data.
  • Synchronizing SmartRoutes scheduling data with external CRMs or ERP systems.
  • Querying optimization results to provide stakeholders with accurate delivery ETAs.

How SmartRoutes Integration Works

  1. Authentication: The skill uses the Membrane CLI to handle Oauth flows, storing credentials securely in the local environment.
  2. Connection Establishment: A connection is initialized between the Openclaw Skills environment and the SmartRoutes API using a specific connector ID.
  3. Action Discovery: The agent queries available actions (e.g., creating a route or listing drivers) to understand the required input schemas.
  4. Execution: Commands are dispatched via the Membrane proxy which automatically injects authentication headers and handles token refreshes.
  5. Data Processing: Results are returned in a structured JSON format, allowing the AI agent to parse and act upon logistics data immediately.

SmartRoutes Integration Setup

To get started with SmartRoutes in your Openclaw Skills environment, follow these steps:

  1. Login to Membrane:
npx @membranehq/cli@latest login --tenant
  1. Search for the SmartRoutes Connector:
npx @membranehq/cli@latest search smartroutes --elementType=connector --json
  1. Create a Connection:
npx @membranehq/cli@latest connect --connectorId=CONNECTOR_ID --json
  1. Verify Connection:
npx @membranehq/cli@latest connection list --json

SmartRoutes Integration Data Schema & Taxonomy

The skill interacts with several core entities within the SmartRoutes ecosystem. Data is typically exchanged in JSON format following the schema defined by specific Membrane actions.

Entity Description
Routes Primary objects containing optimization data and sequence.
Stops Individual delivery or service locations within a route.
Drivers User profiles assigned to specific vehicles and routes.
Territories Geographic boundaries used for organizing delivery zones.
Optimizations The logical results of the SmartRoutes calculation engine.

SmartRoutes Integration Advanced Features

  • Direct API Proxying: Send custom requests to any SmartRoutes endpoint using npx @membranehq/cli@latest request when standard actions don't cover a specific edge case.
  • Automatic Credential Refresh: Never worry about expired tokens; the underlying Membrane layer manages the full Auth lifecycle server-side.
  • Schema Discovery: Use the --intent flag to dynamically discover action schemas, allowing for highly flexible and adaptive AI agent behavior.
  • Headless Environment Support: Full support for remote or containerized environments using manual code completion for authentication.

SKILL.md


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