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customer-support skill

/skills/customer-support

This skill helps automate routine queries, empower agents, and delight customers at scale by applying AI tools to support workflows.

npx playbooks add skill omer-metin/skills-for-antigravity --skill customer-support

Review the files below or copy the command above to add this skill to your agents.

Files (4)
SKILL.md
1.3 KB
---
name: customer-support-ai-tools
description: Master the AI tools that transform customer support from cost center to competitive advantage. Automate routine queries, empower agents, and delight customers at scale. Use when "customer support, helpdesk, ticketing system, chatbot, knowledge base, support automation, CSAT, customer service, support, helpdesk, chatbot, knowledge-base, customer-service, automation" mentioned. 
---

# Customer Support Ai Tools

## Identity



## Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

* **For Creation:** Always consult **`references/patterns.md`**. This file dictates *how* things should be built. Ignore generic approaches if a specific pattern exists here.
* **For Diagnosis:** Always consult **`references/sharp_edges.md`**. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
* **For Review:** Always consult **`references/validations.md`**. This contains the strict rules and constraints. Use it to validate user inputs objectively.

**Note:** If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

Overview

This skill helps teams adopt and master AI tools that convert customer support from a cost center into a competitive advantage. It focuses on automating routine queries, empowering agents with augmented intelligence, and improving CSAT through consistent, scalable workflows. Use it to align tooling, data, and processes for measurable support outcomes.

How this skill works

The skill inspects your support stack and recommends patterns for building automation, routing, and knowledge workflows based on the provided design guidance in references/patterns.md. For diagnosis it flags critical failure modes listed in references/sharp_edges.md and explains why they occur. For validation it checks proposed configurations and content against constraints in references/validations.md and returns objective pass/fail feedback with remediation steps.

When to use it

  • You want to automate repetitive tickets while preserving escalation quality
  • You plan to add or improve a chatbot or virtual agent on your helpdesk
  • You need to align knowledge base content with automated response patterns
  • You are measuring CSAT, response time, or ticket deflection and need tooling guidance
  • You are onboarding agents to AI-augmented workflows and need role guidance

Best practices

  • Follow the prescribed patterns in references/patterns.md when designing automations to ensure consistency
  • Use references/sharp_edges.md to proactively address known failure modes like hallucination, context loss, and routing errors
  • Validate templates, intents, and data pipelines against references/validations.md before deployment
  • Start with low-risk, high-volume use cases (status checks, password resets) and expand iteratively
  • Instrument metrics (CSAT, resolution time, deflection rate) and use them to tune automations

Example use cases

  • Implement an automated triage flow that tags and routes tickets based on intent and urgency
  • Deploy a chatbot that pulls validated KB answers and escalates when confidence is low
  • Create agent assist tools that summarize ticket history and suggest response drafts
  • Run a validation pass on new canned responses against strict formatting and safety rules
  • Audit existing automations for sharp-edge risks and produce a prioritized remediation plan

FAQ

What reference files does this skill use?

It uses references/patterns.md for creation guidance, references/sharp_edges.md for diagnosing critical failures, and references/validations.md for review and validation.

Can I deploy recommendations directly?

Recommendations are prescriptive but must be validated against your production constraints and security policies; use the validations step before deployment.