An AI-powered passenger assistant for Hellobike Hitch that manages price comparison, ride booking, and real-time trip tracking.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hello-hitch-skill
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 hello-hitch-skill 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 Hello Hitch Skill?
The Hello Hitch Skill is a comprehensive passenger-side assistant designed to handle the full lifecycle of carpooling and hitchhiking services via the Hellobike platform. It enables users to search for locations, compare different ride capacities, place orders, and track driver locations using simple natural language commands. This skill is part of the ecosystem of Openclaw Skills designed to bridge the gap between AI agents and real-world services.
By integrating directly with the Hello Hitch API, the skill provides high-fidelity ride management. It intelligently infers intent from everyday phrases like "I'm going home after work" and translates them into actionable ride requests, ensuring a seamless transit experience for users who value efficiency and automation.
Hello Hitch Skill Use Cases
- Comparing prices between carpool and private ride options for a specific route.
- Booking a ride in advance for a flight or a commute using natural language scheduling.
- Monitoring driver location and estimated arrival times without opening a separate app.
- Automating the invitation process for highly-rated drivers nearby.
- Generating secure payment links for WeChat or the Hellobike App after placing an order.
How Hello Hitch Skill Works
- The user provides a destination or departure point which the skill resolves into precise coordinates using integrated map tools.
- The skill calls the pricing engine to fetch real-time estimates and available ride types (shared vs. private).
- After the user selects a preferred option, the skill creates an order protected by a unique idempotency key to prevent duplicates.
- For rides requiring upfront payment, the skill generates a direct deep link to the mobile app or WeChat mini-program.
- The skill monitors the order status and can automatically trigger follow-up tasks, such as checking for driver acceptance or confirming when the passenger is on board.
Hello Hitch Skill Setup
To use this skill within your Openclaw environment, you must first obtain an API Key from the Hellobike AI Open Platform. Once you have the key, run the following commands in your terminal:
openclaw mcp set hitch-ai-platform '{"url":"https://hellohitchapi.hellobike.com/ai-openplatform/mcp","headers":{"Authorization":"YOUR_API_KEY"},"transport":"streamable-http"}'
openclaw gateway restart
Alternatively, you can manually edit your ~/.openclaw/openclaw.json file to include the hitch-ai-platform under the mcpServers section.
Hello Hitch Skill Data Schema & Taxonomy
The skill organizes ride data and location metadata to ensure accurate processing. Below is the primary data structure handled by the Openclaw Skills framework for this integration:
| Object | Key Fields | Description |
|---|---|---|
| Location | lat, lon, cityCode, address | Geospatial data for pickups and drop-offs |
| Order | orderGuid, status, priceTraceId | Unique identifiers for ride tracking and pricing |
| Capacity | capacityName, estimatedPrice | Options for shared or private ride types |
| Driver | driverNickname, vehiclePlate, score | Information about the matched driver |
Hello Hitch Skill Advanced Features
- Idempotency Protection: Uses unique keys for all state-changing operations to prevent duplicate orders during network retries.
- Automated Scheduling: Supports cron-based tasks to automatically initiate ride-hailing flows at specific times.
- Smart Status Polling: Automatically creates a background task to check order status 5 minutes after creation.
- Context-Aware Location Search: Real-time coordinate fetching that accounts for the user's changing physical location.
- Multi-Platform Link Generation: Generates both App deep links and WeChat mini-program links based on the specific requirements of the order.
SKILL.md
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