Amap Traffic logo

Amap Traffic

Organization
agentbay-ai
amap-traffic

高德地图实时路况查询与最优自驾路线规划技能。基于高德交通态势API和路径规划API,提供实时拥堵信息和最快路线建议。

Overview

Publisheragentbay-ai
Repositoryagentbay-skills
Skill nameamap-traffic
Stars
50
Forks
5
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agentbay-ai on GitHub. Read the source before you install it.

Installation

Install the Amap Traffic AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentbay-ai/agentbay-skills/tree/main/amap-traffic
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentbay-ai/agentbay-skills.git /tmp/agentbay-skills
mkdir -p .claude/skills
cp -r /tmp/agentbay-skills/amap-traffic .claude/skills/amap-traffic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amap Traffic in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Amap Traffic on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Amap Traffic is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

高德实时路况与路线规划

概述

本技能通过高德地图API实现:

  1. 实时路况查询:获取指定道路/区域的拥堵状态
  2. 智能路线规划:基于实时路况计算最快自驾路线
  3. 多方案对比:提供时间、距离、费用等维度的路线比较

🔑 API Key 配置

  1. 访问 高德开放平台 创建 Key
  2. 在 OpenClaw Web 配置页面设置:
    地址: http://127.0.0.1:18789/skills
    配置文件字段: skills.entries.amap-traffic.AMAP_KEY in openclaw.json
    值: 你的高德API Key

注意: 本技能每次调用时都会重新读取 openclaw.json 中的最新 AMAP_KEY,支持前端动态更新密钥后立即生效。

API 使用说明

1. 实时路况查询

bash
curl "https://restapi.amap.com/v3/traffic/status/road?roadid={道路ID}&key={动态读取的AMAP_KEY}"

2. 智能路线规划(含实时路况)

bash
curl "https://restapi.amap.com/v3/direction/driving?origin={起点坐标}&destination={终点坐标}&strategy=2&key={动态读取的AMAP_KEY}"
  • strategy=2:优先考虑实时路况的最快路线

路况状态说明

  • 畅通:🟢 绿色(速度 > 40km/h)
  • 缓行:🟡 黄色(20-40km/h)
  • 拥堵:🔴 红色(< 20km/h)
  • 严重拥堵:🟣 紫红色(< 10km/h)

资源

scripts/

包含高德实时路况查询和路线规划的核心脚本。

scripts/amap_traffic.py

Python 脚本,实现完整的实时路况查询和最优路线规划功能。 每次执行时都会从 /home/admin/.openclaw/openclaw.json 读取最新的 AMAP_KEY, 确保前端动态更新密钥后立即生效。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Amap Traffic AI skill do?

高德地图实时路况查询与最优自驾路线规划技能。基于高德交通态势API和路径规划API,提供实时拥堵信息和最快路线建议。

Why use Amap Traffic on TypingMind?

Because you install it once and use it with any model. Amap Traffic is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Amap Traffic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentbay-ai/agentbay-skills/tree/main/amap-traffic. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Amap Traffic?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Amap Traffic?

As many as you like. As long as a model supports skills, you can use Amap Traffic with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Amap Traffic AI skill free?

It is published on GitHub by agentbay-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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