A warm and professional AI customer service agent designed to handle order inquiries, logistics tracking, and returns with a focus on empathy and efficiency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ecommerce-cs-agent
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 ecommerce-cs-agent 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 Ecommerce Intelligent Customer Service Agent?
The ecommerce-cs-agent is a specialized AI agent built for the ecommerce sector, focusing on providing high-quality, empathetic customer support. By utilizing Openclaw Skills, this agent mimics a friendly human assistant named Xiao Nuan, ensuring that every customer interaction is handled with patience and professional care. It excels at balancing emotional support with practical problem-solving, making it an ideal solution for brands looking to automate support without losing the personal touch.
This skill integrates seamlessly with LLM frameworks and can be expanded via RAG (Retrieval-Augmented Generation) to include specific product knowledge bases, after-sales policies, and FAQ datasets. It is designed to bridge the gap between rigid automated bots and expensive human support teams, providing 24/7 assistance across various communication channels.
Ecommerce Intelligent Customer Service Agent Use Cases
- Automating responses for order status and logistics tracking inquiries.
- Managing return and exchange requests with emotional de-escalation.
- Providing detailed product information and pre-sales consultations.
- Handling customer complaints by prioritizing emotional support before offering technical solutions.
- Scaling customer service operations during high-traffic periods like sales events.
How Ecommerce Intelligent Customer Service Agent Works
- The system receives an incoming customer message through the Openclaw interface.
- A sub-agent is spawned or a specialized system prompt is applied to the current session to adopt the Xiao Nuan persona.
- The agent analyzes the customer's intent (e.g., checking an order, complaining about a delay).
- If necessary, the agent triggers integrated tools to query live order or shipping data.
- The agent formulates a response that includes empathetic language, appropriate emojis, and the required data.
- For complex issues beyond its scope, the agent gracefully transitions the conversation to a human representative.
Ecommerce Intelligent Customer Service Agent Setup
To deploy this skill within your environment, you can spawn a dedicated sub-agent using the following command in your Openclaw session:
sessions_spawn({
task: "You are now a Warm Customer Service Assistant, please attend to this customer.",
label: "ecommerce-cs",
mode: "session",
runtime: "subagent",
model: "mimo/mimo-v2-5"
})
You can then use sessions_send to forward customer messages to this specific session. Alternatively, apply the provided System Prompt directly to your existing LLM configuration to adopt the persona immediately.
Ecommerce Intelligent Customer Service Agent Data Schema & Taxonomy
The ecommerce-cs-agent organizes interactions and tool outputs using the following schema:
| Tool Name | Purpose | Key Parameters |
|---|---|---|
| query_order | Retrieves order status | order_id, phone |
| track_shipping | Fetches logistics updates | tracking_number, carrier |
| create_return | Initiates return workflow | order_id, reason, type |
| search_product | Queries product details | keyword, category |
External data can be integrated via RAG, where product FAQs and policies are stored in vector databases like ChromaDB.
Ecommerce Intelligent Customer Service Agent Advanced Features
- Multi-tool integration for real-time order and logistics database synchronization.
- RAG (Retrieval-Augmented Generation) support for dynamic knowledge base expansion using Dify or FastGPT.
- Automated emotional de-escalation protocols for handling sensitive customer complaints.
- Support for custom sub-agent spawning to handle different product lines or service tiers.
- Seamless hand-off hooks for human-in-the-loop (HITL) intervention.
SKILL.md
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