Tencent Map API Integration for Openclaw

A comprehensive integration of Tencent Map Web Services for advanced location search, route planning, and coordinate transformations.

coreyleung-art
v1.0.0
Feb 2, 2026
6
2.9k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install qqmap

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 qqmap 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 Tencent Map API Integration?

The Tencent Map API skill enables AI agents to interact with professional geospatial data services provided by Tencent LBS. By utilizing this Openclaw Skills integration, developers can equip their agents with the ability to perform complex location-based tasks such as finding businesses, calculating travel times, and converting between physical addresses and geographic coordinates. It is designed to be a bridge between LLM reasoning and real-world spatial data.

This skill is particularly valuable for applications requiring localized knowledge within China, offering high-precision data for POI (Points of Interest) and optimized routing algorithms for various transport modes. Whether you are building a travel assistant or a logistics automation tool, this integration provides the necessary infrastructure for robust map-based workflows.

Tencent Map API Integration Use Cases

  • Searching for specific business categories or venues within a targeted city or administrative region.
  • Automatically converting latitude and longitude coordinates into readable street addresses for reporting.
  • Calculating optimal travel routes for driving, walking, or public transportation between two points.
  • Discovering nearby services and amenities within a specific radius of a given coordinate.
  • Geocoding unstructured address strings into precise GPS coordinates for database mapping.

How Tencent Map API Integration Works

  1. The AI agent triggers a specific map command with required parameters like keywords, coordinates, or addresses.
  2. The skill executes a bash script that interfaces with the Tencent Map Web Service API using authenticated requests.
  3. The API key stored in the environment variables authorizes the request to Tencent's servers.
  4. Geographic data is retrieved and processed to ensure it meets the expected functional output.
  5. The skill returns a standardized JSON object containing the status and the requested geospatial information back to the agent.

Tencent Map API Integration Setup

To use this skill within the Openclaw Skills framework, follow these steps:

  1. Obtain an API Key by registering at the Tencent LBS Console.
  2. Ensure your environment has curl and python3 installed.
  3. Set your API Key as an environment variable:
export TENCENT_MAP_KEY="YOUR_TENCENT_MAP_KEY"

Tencent Map API Integration Data Schema & Taxonomy

The skill provides structured responses for all operations. The following table describes the standard response fields:

Key Description
status Success or error code (0 for success)
message Status description or error message
result The core payload containing POIs, route paths, or address components
count The number of results returned (for search queries)

All data is delivered in a clean JSON format, making it easy for AI agents to parse and utilize in subsequent reasoning steps.

Tencent Map API Integration Advanced Features

  • Advanced pagination support for large-scale POI searches (up to 20 results per page).
  • Multi-modal routing engine supporting driving, walking, and transit logic.
  • Support for regional scoping to narrow down search results to specific districts or cities.
  • High-resolution reverse geocoding for precise address decomposition.
  • Lightweight bash and python implementation for low-latency performance within the Openclaw Skills ecosystem.

SKILL.md


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