A comprehensive travel assistant skill providing real-time navigation, multi-platform taxi pricing, and intelligent POI discovery through the AMap API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amap-navigation
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 amap-navigation 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 AMap Navigation and Travel Assistant?
The AMap Navigation skill is a sophisticated integration for AI agents that leverages the AMap (Gaode Maps) Web Service API to provide localized travel intelligence. As a key addition to the library of Openclaw Skills, it enables agents to perform complex route planning, monitor real-time traffic conditions, and compare ride-hailing costs across different providers. This skill is specifically optimized for the Chinese market, ensuring high accuracy in address resolution and point-of-interest searching.
By integrating this skill, developers can offer users a seamless way to navigate urban environments. It bridges the gap between raw mapping data and actionable travel advice, supporting multiple modes of transport including driving, public transit, walking, and cycling. The inclusion of real-time congestion alerts and toll information makes it an essential tool for building reliable commuting assistants.
AMap Navigation and Travel Assistant Use Cases
- Planning the fastest driving route between two cities while avoiding traffic jams.
- Comparing taxi fares between Didi and AMap platforms for cost-effective travel.
- Searching for nearby amenities such as high-rated restaurants, gas stations, or parking lots.
- Generating multi-modal transit instructions for users needing to minimize walking or transfers.
How AMap Navigation and Travel Assistant Works
- The AI agent identifies a travel-related intent and extracts origin, destination, and preference parameters.
- The skill initiates a request to the AMap Web Service API using a secured API key from the environment configuration.
- The backend logic processes coordinate transformations and fetches real-time traffic or pricing data.
- The system evaluates multiple route alternatives based on user strategies like fastest time or shortest distance.
- A structured JSON response is generated, providing the AI agent with clear recommendations and step-by-step instructions for the user.
AMap Navigation and Travel Assistant Setup
To utilize this skill within the Openclaw Skills ecosystem, you must configure your environment variables first:
# 1. Register at lbs.amap.com and create a 'Web Service' application to get your API Key.
# 2. Add your credentials to the .env file in your project root:
AMAP_API_KEY=your_api_key_here
# 3. You can now test the navigation via the CLI:
node scripts/navigation.js --from "Origin Address" --to "Destination Address" --mode driving
AMap Navigation and Travel Assistant Data Schema & Taxonomy
The skill organizes its output into specific schemas based on the request type. Below is the metadata taxonomy for Openclaw Skills integration:
| Object | Key Fields | Description |
|---|---|---|
| Route | distance, duration, traffic, toll | Details for driving or transit paths including cost and congestion. |
| POI | name, address, rating, price | Information for points of interest including user reviews and business hours. |
| Estimate | platform, service, price, duration | Comparison data for different ride-hailing services. |
| Status | success, error_code, message | Standardized error handling and request validation status. |
AMap Navigation and Travel Assistant Advanced Features
- Multi-platform taxi price estimation supporting Didi, AMap, and various car tiers.
- Intelligent route strategy optimization including options for avoiding highways or tolls.
- High-performance POI searching with custom radius, sorting by distance, or filtering by rating.
- Real-time traffic integration providing congestion warnings and live arrival time adjustments.
- Built-in support for GCJ-02 coordinate systems for high-precision mapping in China.
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