A specialized automation skill for aggregating public automotive data, vehicle specifications, and buying guides from the Dongchedi platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dongchedi
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 dongchedi 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 Dongchedi Skill?
The Dongchedi skill for Openclaw Skills is a technical integration designed to streamline the extraction and organization of public automotive information. It allows AI agents to navigate the Dongchedi ecosystem to retrieve detailed vehicle libraries, configuration pages, and expert reviews without manual intervention.
By leveraging this skill, developers can build workflows that monitor car model updates, aggregate dealership service entries, and compile comprehensive purchasing guides. It is strictly built for public data transparency, ensuring high-quality information retrieval for automotive research and comparison tasks.
Dongchedi Skill Use Cases
- Automating the collection of car model specifications and configuration links.
- Aggregating expert reviews and evaluation content for market research.
- Organizing dealership service portals and activity entry points for specific regions.
- Compiling FAQ and help center documentation for automotive service workflows.
- Extracting comparison data between different vehicle models for decision-making tools.
How Dongchedi Skill Works
- The agent accesses the Dongchedi vehicle library or specific guide pages via the skill protocol.
- It identifies and parses public metadata including model names, configurations, and evaluation summaries.
- The skill filters for region-specific data such as local dealership services and city-specific station info.
- It extracts structured links for official model pages, tool pages, and community discussion hubs.
- The compiled data is returned as a structured summary, avoiding absolute pricing to account for regional fluctuations.
Dongchedi Skill Setup
To enable the Dongchedi integration within your environment, ensure your agent is configured to use Openclaw Skills and install the package via the CLI:
# Install the automotive skill set
openclaw install skill-dongchedi
# Configure regional preferences if necessary
openclaw configure dongchedi --city-id default
Dongchedi Skill Data Schema & Taxonomy
The skill organizes extracted data into a structured format suitable for analysis. Key data fields include:
| Field Type | Description |
|---|---|
| Vehicle Entry | Direct links to model pages and configuration tables. |
| Guide Content | Summaries of evaluations, reviews, and professional ratings. |
| Service Links | URLs for dealership portals, activity pages, and FAQ entries. |
| Metadata | City-specific tags, tool identifiers, and comparison IDs. |
Dongchedi Skill Advanced Features
- Multi-agent support for concurrent model comparison across different car segments.
- Regional station filtering to prioritize data from specific geographic automotive hubs.
- Automated extraction of FAQ and help center schemas for building knowledge bases.
- Link-first preservation strategy to ensure all output remains verifiable through official Dongchedi sources.
SKILL.md
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