customer-support-autopilot

What This Skill Does

The Customer Support Autopilot is an advanced intelligent agent designed to streamline ticket management within enterprise environments. By integrating directly into support workflows, it classifies incoming tickets based on intent, sentiment, and urgency. It functions as a force multiplier for support teams by drafting context-aware responses that maintain brand voice while adhering to established internal policies. Beyond drafting, it actively monitors for high-risk indicators such as security threats, potential fraud, or billing disputes, ensuring that sensitive issues are flagged and escalated to the appropriate support tier (L1/L2/L3) immediately. By automating repetitive tasks, the skill significantly reduces mean time to resolution (MTTR) while maintaining high consistency and compliance.

Installation

To install this skill, use the ClawHub command-line interface. Ensure your environment has the necessary permissions to interface with your ticketing system. Run the following command in your terminal:

clawhub install openclaw/skills/skills/anugotta/customer-support-autopilot

After installation, consult the setup.md file within the source repository to configure your API keys and define your organization's specific policy guardrails.

Use Cases

• Automated Triage: Automatically tag and prioritize incoming emails or chat logs, routing critical billing inquiries to senior specialists while auto-replying to common technical FAQs.
• Risk Mitigation: Identifying and escalating cases involving legal threats, security vulnerabilities, or account takeover attempts before they escalate into larger incidents.
• Quality Assurance: Assisting agents by providing draft responses that incorporate mandatory policy clauses and relevant reference IDs, ensuring that no agent accidentally makes unauthorized promises.
• SLA Management: Tracking ticket aging and proactively notifying managers if a case is approaching its SLA deadline.

Example Prompts

1. "Analyze the latest ticket from user_id 8829 and draft a professional response regarding their billing discrepancy, while flagging it for L2 if they mention 'refund' or 'fraud'."
2. "Review the current queue for high-priority tickets, categorize them by sentiment, and recommend an escalation path based on our internal SLA policy."
3. "Summarize the recent thread regarding the API connectivity issue, propose a macro for troubleshooting, and calculate the projected resolution timeline."

Tips & Limitations

• Tips: Always verify that your macro database is up-to-date, as the agent relies on these for accuracy. Periodically audit the agent's confidence scores to determine where human-in-the-loop oversight is most needed.
• Limitations: The agent should not be used as a replacement for human judgment in high-stakes legal or human resources communications. It is designed as a decision-support tool rather than an autonomous decision-maker. Avoid granting the agent access to unencrypted sensitive user PII unless strictly compliant with your data privacy framework.