Individual skill
review-reputation
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."
skills-imported/review-reputation/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 56
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
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SKILL.mdcore · 11,076 bytesSKILL.mdcore · 11,076 bytesSKILL.mdcore · 11,076 bytesSKILL.mdcore · 11,076 bytesSKILL.mdcore · 11,076 bytesreference/churn-signals.mddoc · 4,090 bytesreference/examples/example-report.mddoc · 4,883 bytesreference/gotchas.mddoc · 5,563 bytesreference/response-patterns.mddoc · 4,051 bytesreference/sources.mddoc · 4,910 bytes
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<!-- Provenance: adapted from anthropics/knowledge-work-plugins (Apache-2.0, (c) Anthropic).
Original skill: https://github.com/anthropics/knowledge-work-plugins/tree/main/small-business/skills/review-reputation. Changes for Muse AI: Claude/Cowork product refs -> Muse AI; MCP -> connector; CLAUDE.md -> MUSE.md; ${CLAUDE_PLUGIN_ROOT} -> this skill's directory; /plugin:command refs -> skill refs. -->
# 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.