customer-support

Route support requests into triage, response drafting, KB publishing, escalation, and research modes.

415|44|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/notque/vexjoy-agent --skill customer-support-notque
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-support
Source: https://github.com/notque/vexjoy-agent/tree/main/skills/business/customer-support
Command: npx skills add https://github.com/notque/vexjoy-agent --skill customer-support-notque

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Customer support triage, response drafting, escalation packaging, knowledge base publishing, and lightweight customer context research—so every interaction produces evidence-based next steps instead of vague or prematurely closed outcomes.

Core Features & Use Cases

  • Mode-based support workflow: TRIAGE, RESPOND, KB, ESCALATE, and RESEARCH with clear mode detection signals.
  • Evidence-first gatekeeping: priority, routing, and response quality checks designed to prevent unsafe claims and premature closure.
  • Publish-ready knowledge base articles: generates KB entries (How-to, Troubleshooting, FAQ, Known Issue) with formatting and search optimization.
  • Structured escalations: packages impact, reproduction steps, and severity so engineering or leadership can act quickly.
  • Research briefs with attribution: synthesizes findings with confidence scoring and source attribution.

Quick Start

Use customer-support to triage a new support ticket for prioritization, route the right team, draft the initial customer response, and include internal notes for what must be verified before sending.

Frequently Asked Questions about customer-support

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I triage customer support tickets for priority routing and response drafting?

Ticket triage evaluates incoming support requests to determine priority and assign routing paths. It applies evidence-based gatekeeping checks to categorize severity, route to appropriate teams, and generate initial response drafts with internal verification notes.

What is the best way to draft customer support responses with proper tone calibration?

Response drafting applies strict output gates for tone calibration and commitment boundaries. It generates customer messages across different relationship stages while verifying closure readiness to prevent unsafe claims and premature ticket resolution.

How do I convert resolved support tickets into searchable knowledge base articles?

Knowledge base publishing converts ticket resolutions into publish-ready KB entries. It generates How-to, Troubleshooting, FAQ, and Known Issue formats with search optimization applied for immediate publication.

How do I package an escalation brief with reproduction steps for engineering handoff?

Escalation packaging structures impact, severity, and reproduction steps into a brief for engineering handoff. It compiles structured context to ensure teams can act quickly on escalated support tickets.

Can I use customer research to synthesize support context with source attribution and confidence scoring?

Research mode synthesizes customer context findings with confidence scoring and source attribution. It produces research briefs providing evidence-based background for support interactions.

What are the limitations of automated ticket triage for customer support workflows?

Automated triage requires mode-specific reference guidance and cannot bypass strict output gates for tone calibration or commitment boundaries. It depends on structured input and reference materials to route tickets accurately across relationship stages.