review-responder

Generate brand-aligned responses and triage urgent customer reviews across platforms.

364|53|Updated May 9, 2026
One-click install
npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills --skill review-responder-cosmicstack-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-responder
Source: https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/shop-restaurant/review-responder
Command: npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills --skill review-responder-cosmicstack-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps shop and restaurant teams monitor customer reviews across major platforms and produce timely, brand-aligned responses that protect reputation and reduce churn from unhappy customers.

Core Features & Use Cases

  • Multi-platform review triage: Classifies reviews by rating and urgency (crisis/critical/mixed/positive) to prioritize what needs attention first.
  • Personalized response drafting: Generates structured replies that acknowledge specifics, apologize when needed, and move negative conversations offline.
  • Reputation trend reporting: Summarizes sentiment over time with common themes and operational recommendations for internal follow-up.

Quick Start

Tell the skill which platforms you use and ask it to draft responses and a sentiment trend report for your most recent reviews.

Frequently Asked Questions about review-responder

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

FAQPage Schema
How do I draft responses to customer reviews across multiple platforms like Google and Yelp?

Drafting customer review responses across Google and Yelp requires classifying feedback by urgency and sentiment to generate structured, brand-aligned replies that acknowledge specifics and move negative conversations offline.

What is the best way to manage reputation and triage critical negative feedback for restaurants?

Reputation management for restaurants involves sentiment-based prioritization to triage critical negative feedback, categorizing reviews into crisis, critical, mixed, or positive tiers to address urgent issues first.

Can I generate a sentiment trend report from customer reviews and reservation platforms?

Generating a sentiment trend report from customer reviews and reservation platforms summarizes feedback themes over time, providing operational recommendations and internal escalation summaries for follow-up.

Does this review response approach support hospitality workflows for delivery and TripAdvisor reviews?

This review response approach supports hospitality workflows by monitoring delivery and TripAdvisor review sources, applying category-specific response templates with personalization hooks for various feedback types.

How do you handle mixed positive and negative reviews without alienating the customer?

Handling mixed reviews requires structured response templates with personalization hooks that acknowledge specific positive details while apologizing for shortcomings, attempting to retain the customer without sounding defensive.