How do I install the Reply To Customer Review skill?

Run npx skillmds@latest add acaprino/reply-to-customer-review-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Reply To Customer Review safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Reply To Customer Review?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Reply To Customer Review free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Reply To Customer Review?

acaprino (@acaprino) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Reply To Customer Review by acaprino

Name: Reply To Customer Review
Author: acaprino

Reply To Customer Review

Drafts a ready-to-post answer, with brand, tone, language, and sector flags. TRIGGER WHEN: the user pastes a customer review (Airbnb, Booking, Tripadvisor, Amazon, Trustpilot, App Store, Google) and asks for a reply or response. DO NOT TRIGGER WHEN: writing general marketing copy (use content-marketer).

acaprino Updated Sep 17, 2026

File contents

Arguments: \"<review text>\" [--brand <name>] [--tone formal|friendly|casual] [--lang <code>] [--sector hospitality|ecommerce|auto]. Wherever <arguments> appears below, substitute the text the user typed after the skill name.

Reply to Customer Review

Invocation

Invoke the reply-to-customer-review skill and follow its full workflow.

Arguments

<review text>: The customer review to respond to (paste inline or provide after invocation)
--brand "Name": Business name to use in the response sign-off
--tone: Response tone -- formal, friendly, or casual (default: professional-empathetic, mapped to friendly)
--lang: Force output language using ISO code (default: same language as the review)
--sector: Force sector specialization -- hospitality, ecommerce, or auto for auto-detection (default: auto)

If invoked without arguments, prompts the user to paste a review.

Examples

/reply-to-customer-review "Camera sporca e personale scortese. Mai piu." --brand "Villa Serena" --tone friendly
/reply-to-customer-review The app crashes every time I try to checkout. Uninstalling.
/reply-to-customer-review --lang en "Prodotto arrivato rotto, assistenza inesistente"
/reply-to-customer-review "Amazing stay! The view was breathtaking and the host was incredibly welcoming." --brand "Casa Luna"

What it does

Analyzes the review: language, sentiment, severity, key points, sector
Generates an adaptive response calibrated to the review's tone and content
Outputs the response (ready to copy), analysis summary, and operational suggestions
Accepts follow-up refinements: "more formal", "shorter", "in English", etc.

---name: reply-to-customer-review-2description: Drafts a ready-to-post answer, with brand, tone, language, and sector flags. TRIGGER WHEN: the user pastes a customer review (Airbnb, Booking, Tripadvisor, Amazon, Trustpilot, App Store, Google) and asks for a reply or response. DO NOT TRIGGER WHEN: writing general marketing copy (use content-marketer).---> Arguments: `\"<review text>\" [--brand <name>] [--tone formal|friendly|casual] [--lang <code>] [--sector hospitality|ecommerce|auto]`. Wherever `<arguments>` appears below, substitute the text the user typed after the skill name.# Reply to Customer Review## InvocationInvoke the `reply-to-customer-review` skill and follow its full workflow.## Arguments- `<review text>`: The customer review to respond to (paste inline or provide after invocation)- `--brand "Name"`: Business name to use in the response sign-off- `--tone`: Response tone -- `formal`, `friendly`, or `casual` (default: professional-empathetic, mapped to `friendly`)- `--lang`: Force output language using ISO code (default: same language as the review)- `--sector`: Force sector specialization -- `hospitality`, `ecommerce`, or `auto` for auto-detection (default: auto)If invoked without arguments, prompts the user to paste a review.## Examples```/reply-to-customer-review "Camera sporca e personale scortese. Mai piu." --brand "Villa Serena" --tone friendly/reply-to-customer-review The app crashes every time I try to checkout. Uninstalling./reply-to-customer-review --lang en "Prodotto arrivato rotto, assistenza inesistente"/reply-to-customer-review "Amazing stay! The view was breathtaking and the host was incredibly welcoming." --brand "Casa Luna"```## What it does1. Analyzes the review: language, sentiment, severity, key points, sector2. Generates an adaptive response calibrated to the review's tone and content3. Outputs the response (ready to copy), analysis summary, and operational suggestions4. Accepts follow-up refinements: "more formal", "shorter", "in English", etc.

Frequently asked questions