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Skills › Atención al cliente

review-reputation

Responde reseñas de Google y redes, buenas y malas, con buen tono.

Watches what customers are saying in public and in private, then does something about it. Aggregates Google, Yelp, and Facebook reviews alongside disputes, tickets, and email into themes backed by verbatim quotes; drafts a reply to every review in the owner's own voice for approval; spots customers who have gone quiet or look likely to leave; and drafts win-back offers for the ones worth keeping. With Shopify connected, order and fulfillment patterns become a sentiment signal too. Works from pasted or exported reviews when nothing is connected. Use this whenever the owner asks about reviews, ratings, reputation, complaints, or repeat business — including "what are people saying about us," "did we get any bad reviews," "how do I respond to this one-star," "our rating dropped," "which customers have gone quiet," "who hasn't ordered in a while," "how do I win them back," or "are customers happy."

Descargar .zipVer en GitHub
Departamento
Atención al cliente
Fuente
Oficial · anthropics/knowledge-work-plugins › small-business
Autor
Anthropic
Licencia
Apache-2.0
Idioma
Inglés
Riesgo
Bajo

Cómo instalarla en Claude

  1. Descargue el .zip sin descomprimirlo.
  2. En Claude active Configuración › Capacidades › Crear y editar archivos.
  3. Vaya a Personalizar › Skills › Crear skill › Subir una skill y elija el archivo.

Instrucciones completas (SKILL.md)

Review and Reputation

Know what customers are saying, answer it in the owner's voice, and notice the ones quietly walking away.

Two jobs live here and they share the same evidence. The public one is reviews and ratings — visible, permanent, and read by everyone deciding whether to call. The private one is churn: the customer who has not ordered in seven months and has not complained about anything, because people rarely announce that they are leaving.

Step 1 — Set the window and gather everything

Default to the last 90 days. Reviews move slowly, and a 30-day window on a business with six reviews a quarter produces a report with nothing in it.

Read reference/sources.md for the query detail and the fallbacks. Pull in one pass:

If a source rate-limits or returns nothing, record it by name in the Sources section and continue. A named gap is information. A silent gap looks like good news and is not.

Step 2 — Extract themes with the customer's own words

Group the evidence into three to five recurring themes. Each theme carries a one-line label, a signal count, and two or three verbatim quotes tagged to their source.

Quote verbatim, always. Paraphrase is where this report loses its credibility — the owner needs to see what the customer actually wrote, not a summary of the mood. "Ordered two weeks ago and still nothing" lands. "Customers expressed shipping concerns" does not.

Rank by signal count, not by how loud any single complaint was.

Step 3 — Read the order data as sentiment

With Shopify connected, behavior often says more than words. Read reference/churn-signals.md for thresholds.

Late fulfillment, partial shipments, and repeat refunds against the same product or the same time window usually show up in reviews a few weeks later. Finding the pattern in the orders first is the only chance the owner gets to fix it before it becomes public.

Report what the data shows, never what it implies about a number you do not have. If refund reasons are not recorded, say they are unavailable rather than guessing at causes.

Step 4 — Draft a response to every review

Read [the shared voice profile](../../shared/voice-profile.md). Every skill writing in the owner's name reads the same file, so a correction made once holds everywhere. Without a profile, build one from their own writing and confirm it — a public review response in a guessed voice is embarrassing in a way a draft email is not.

Answer every review, not only the bad ones. Read reference/response-patterns.md for the shape of each.

Under 60 words for public responses. Anyone reading a paragraph-long reply assumes the business is arguing.

Approval gate. Nothing posts publicly without the owner reading it first. Present every draft together with the review it answers, and post only what the owner approves, one by one.

Step 5 — Find the customers who went quiet

A quiet customer is one whose gap since their last order or job has stretched well past their own normal rhythm — not past some industry average. Someone who buys quarterly and has been gone seven months is a churn signal. Someone who buys annually is not.

Read reference/churn-signals.md for how to set the rhythm per customer and which ones are worth chasing. Rank by what the relationship was worth, not by how long the silence has been. Fifteen names the owner will actually work beats a list of two hundred.

Flag anyone who left a negative review and then stopped ordering. That pairing is the clearest churn signal in the data and the one most worth a personal call.

Step 6 — Draft win-back offers worth sending

One message per customer, referencing something real about their history. A generic "we miss you" blast is what they already ignore from everyone else.

The offer has to be something the owner can honor. Never invent a discount, a credit, or a service the owner has not agreed to — confirm what is on the table before drafting, and say plainly when the right move is a call rather than a coupon.

Approval gate. Nothing sends without the owner's approval, per message.

Step 7 — Deliver the report

Structure it in this order:

A worked example is in reference/examples/example-report.md.

Alongside the chat summary, deliver the report per the owner's stored output preference — never default to a markdown file. Check the ## Business context block's Output preference (shared style guide rule, ../../shared/artifact-style.md):

Closing offer

Close with one line on what was found — the rating picture and the top theme. Then offer the most relevant next step with its exact trigger phrase, usually "win back quiet customers" (/reactivate) when the quiet list is worth working. At most two others from the router's table fit here, such as "a customer is upset" (ticket-deflector) or "weekly growth brief" (/marketing-monday). Never more than three offers, and never repeat one the owner declined earlier in the session.

What not to do

Reference files

Using a tool that isn't listed

The connectors named in this skill are the tested paths, not a wall. If the owner wants this flow to use a tool that isn't connected or listed, offer build-connector — it checks the connector directory first and connects through Zapier otherwise, never hand-building against a raw API. Once the connection exists, the tool joins this skill like any other optional connector, under the same approval gates.