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agency-support-responder

Route customer inquiries across channels with SLA-driven response and escalation rules.

Updated Feb 11, 2026
Search Tags:#knowledge base#customer support#escalation#omnichannel#customer success#ticketing#csat
One-click install
npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-support-responder-augustoheiss
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agency-support-responder
Source: https://github.com/augustoheiss/LogicDefense/tree/main/.gemini/skills/agency-support-responder
Command: npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-support-responder-augustoheiss

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves slow, inconsistent, and reactive customer support by providing a structured, SLA-driven, omnichannel approach that increases first-contact resolution and customer satisfaction while reducing ticket backlog and churn.

Core Features & Use Cases

  • Omnichannel Routing & SLA Enforcement: Prioritize and route email, chat, phone, social, and in-app messages with response and escalation SLAs to meet business targets.
  • Issue Investigation & Knowledge Management: Produce reproducible troubleshooting steps, create and optimize knowledge base articles, and generate interactive troubleshooters to reduce repeat tickets.
  • Analytics & Proactive Outreach: Calculate CSAT, FCR, response and resolution time metrics, identify trends, and build targeted outreach lists for high-risk or high-value customers.
  • Use Case: A support manager uses the Skill to analyze last month's tickets, identify top recurring issues, update knowledge base articles, and produce an outreach list for customers with low CSAT scores.

Quick Start

Analyze a recent customer ticket thread, summarize the root cause, recommend a prioritized resolution plan, and draft a concise empathetic reply.

Frequently Asked Questions about agency-support-responder

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

FAQPage Schema
How do I automate omnichannel customer support and enforce SLA response rules?▼

Automate omnichannel customer support by routing email, chat, phone, social, and in-app messages through SLA-driven prioritization. This enforces response and escalation rules to meet business targets while reducing ticket backlog and increasing first-contact resolution.

What is the best way to analyze ticket trends and identify recurring support issues?▼

Analyze ticket trends by calculating CSAT, FCR, and resolution time metrics across your support interactions. This identifies top recurring issues, enabling you to update knowledge base articles and build targeted outreach lists for high-risk customers.

How do I improve first-contact resolution for technical troubleshooting inquiries?▼

Improve first-contact resolution by applying structured issue investigation to produce reproducible troubleshooting steps. Generating interactive troubleshooters and optimizing knowledge base articles reduces repeat tickets and increases customer satisfaction.

Can I consolidate multi-channel customer inquiries into a single SLA-driven ticketing system?▼

Yes, you can consolidate multi-channel customer inquiries into a single ticketing system. The approach prioritizes and routes email, live chat, phone, social media, and in-app messaging scenarios with enforced response and escalation SLAs.

How do I draft empathetic replies and resolution plans for escalated customer tickets?▼

Draft empathetic replies by analyzing the customer ticket thread, summarizing the root cause, and recommending a prioritized resolution plan. This structured troubleshooting approach ensures concise communication during escalations.

Does proactive customer outreach help reduce churn for high-risk accounts with low CSAT?▼

Proactive customer outreach reduces churn by building targeted lists for high-risk or high-value customers. Identifying accounts with low CSAT scores allows you to execute targeted outreach and resolve dissatisfaction before cancellation.

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