Ai Customer Service

What This Skill Does

The AI Customer Service skill, developed by dagangtj for the OpenClaw platform, is a comprehensive tool designed to help small and medium-sized businesses (SMBs) transition from manual support to AI-driven automation. At its core, the tool functions as a local-first knowledge base builder. It allows users to ingest existing business documentation—such as PDF manuals, text files, or FAQ web pages—and transform them into a structured JSON knowledge base. By parsing these inputs, the tool creates a searchable repository of Q&A pairs, keywords, and categories that can be utilized to power auto-reply systems. Unlike cloud-heavy solutions, this skill prioritizes data privacy by performing the majority of its processing locally on your machine, ensuring sensitive company information remains secure. It supports advanced configuration via a settings file, allowing businesses to adjust matching confidence thresholds and define custom fallback responses.

Installation

To integrate this skill into your environment, use the OpenClaw CLI tool. Ensure you have Node.js 18 or higher installed on your system before running the installation command:

clawhub install openclaw/skills/skills/dagangtj/ai-customer-service

Once installed, you can verify functionality by checking the help documentation or initializing a basic configuration file to map your business language and response parameters.

Use Cases

This skill is perfect for scenarios where business documentation is scattered across formats. Common applications include:

• Automating high-volume support queries like shipping statuses or return policies.
• Building a centralized internal knowledge base for support agents to query during live chats.
• Converting legacy website FAQ sections into a standardized digital format for chatbot deployment.
• Rapidly migrating support operations to AI without the need for complex database infrastructure.

Example Prompts

1. "OpenClaw, extract the FAQ from my company-policies.pdf file and save the knowledge base to local-kb.json."
2. "Crawl the support page at https://help.example-shop.com and generate a clean JSON knowledge base for my store."
3. "Test my current kb.json file against the query 'Where is my order?' and tell me if the confidence score meets the threshold."

Tips & Limitations

To get the best results, ensure your input PDFs are machine-readable (text-based) rather than scanned images or handwriting, as the tool relies on text extraction. While the tool is effective for structured data, it excels most when you provide clearly delineated FAQ sections. For enhanced semantic matching, the tool supports an optional integration with OpenAI, which is recommended if your customer queries are highly variable in phrasing. Always review the auto-generated JSON before deploying to a live site to ensure accuracy.