A comprehensive AI skill for managing logistics, delivery routes, and vehicle dispatching through the Logistia Route Planner SaaS.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install logistia-route-planner
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install logistia-route-planner 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 Logistia Route Planner?
Logistia Route Planner is a robust Openclaw Skills integration designed for dispatchers, drivers, and logistics managers. It bridges the gap between AI coding agents and complex delivery operations, allowing for the seamless management of routes, vehicles, and delivery stops. By leveraging this skill, developers and businesses can automate the planning of efficient routes and track fleet performance with minimal manual intervention.
Built on the Membrane framework, this skill removes the complexity of authentication and API management. It allows your AI agent to interact directly with Logistia data, ensuring that logistics workflows are optimized, secure, and highly scalable. Whether you are building a custom delivery dashboard or an automated dispatch bot, this integration provides the necessary tools to handle high-volume delivery tasks efficiently.
Logistia Route Planner Use Cases
- Automating daily delivery route optimization for fleet drivers.
- Managing vehicle and driver assignments dynamically based on real-time logistics data.
- Creating and updating delivery stops and depots through AI-driven commands.
- Tracking vehicle status and route progress within a centralized AI agent interface.
- Synchronizing logistics data between Logistia and other enterprise resource planning (ERP) tools.
How Logistia Route Planner Works
- The AI agent initiates a connection to the Logistia Route Planner via the Membrane CLI.
- Authentication is handled server-side, securing credentials and managing token refreshes automatically.
- The agent searches for specific logistics actions (like route creation or driver assignment) using natural language intent.
- Parameters are passed to the identified action, and the skill executes the request against the Logistia API.
- The skill returns structured JSON data, which the agent uses to inform the user or trigger subsequent logistics workflows.
Logistia Route Planner Setup
To start using this integration within your Openclaw Skills environment, follow these steps:
1. Install the Membrane CLI
npm install -g @membranehq/cli@latest
2. Authenticate your Agent
membrane login --tenant --clientName=openclaw
3. Connect to Logistia
membrane connection ensure "https://logistia.app/" --json
4. Verify Connection Status
If the connection is building, poll until it is ready:
membrane connection get <connection_id> --wait --json
Logistia Route Planner Data Schema & Taxonomy
The Logistia Route Planner skill organizes data around four primary entities to ensure clear metadata taxonomy:
| Entity | Description |
|---|---|
| Route | The primary delivery path containing a sequence of stops. |
| Stop | Specific geographic locations or delivery points within a Route. |
| Vehicle | Fleet assets used to execute the delivery routes. |
| Driver | Personnel assigned to specific Vehicles and Routes. |
| Depot | Starting or ending points for delivery cycles. |
Logistia Route Planner Advanced Features
- Natural Language Action Discovery: Find the right logistics tool by describing your intent rather than memorizing API endpoints.
- Transparent Proxy Requests: Directly access the Logistia API with automated header injection and credential management for edge cases.
- Automated Auth Lifecycle: No local storage of secrets; Membrane manages OAuth and API keys server-side.
- Headless Authentication Support: Optimized for remote servers and CI/CD environments via manual code verification.
- Real-time Polling: Built-in support for long-polling connection states to ensure stable agent-to-app communication.
SKILL.md
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