Automate and enhance help desk operations using AI-driven ticket routing, sentiment analysis, and knowledge base integration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install supportforge-api
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install supportforge-api using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The SupportForge API Skill is a robust technical integration designed to bring intelligent automation to customer service departments. By utilizing this skill within Openclaw Skills, developers can deploy advanced AI to handle ticket classification, prioritize urgent inquiries based on sentiment, and generate context-aware responses that draw from internal knowledge bases.
This skill acts as a bridge between raw customer communications and efficient resolution. It allows for the seamless handling of high-volume inquiries while ensuring that high-value or frustrated customers are escalated to the correct department immediately. It is ideal for teams looking to reduce response times and improve overall customer satisfaction through structured, AI-assisted support workflows.
To get started with this skill for Openclaw Skills, you must first provision an API key. Use the following command to register your email:
curl -X POST https://supportforge.vosscg.com/v1/keys \
-H "Content-Type: application/json" \
-d '{"email":"[email protected]"}'
Once you receive your api_key, save it securely in your configuration environment. For all subsequent requests, include the key in the X-API-Key header.
The skill organizes support data into structured objects to ensure high accuracy in response generation. Below is the primary taxonomy:
| Component | Description | Key Attributes |
|---|---|---|
| Ticket Object | Represents the customer inquiry | id, subject, customer_email, priority |
| Classification | AI analysis of the ticket | category, sentiment, urgency_score, intent |
| KB Result | Knowledge base match | article_id, confidence, url, excerpt |
| Analytics | Support performance data | resolution_rate, avg_response_time, trending_issues |
| Routing | Logical path for the ticket | recommended_department, assigned_agent |
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