Negative Review Recovery

    1

    Turn negative marketplace reviews into trust-building opportunities with concise, fix-oriented replies.

    Free

    0 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    Review: "The headphones stopped charging after two days. Total waste of money." Cause: Faulty charging port batch. Offer: Full replacement.

    Your agent does

    Reply: "We're sorry your headphones stopped charging. We have a fresh batch ready and would like to send you a replacement immediately. Please message us so we can ship this out today."

    Internal Note: Batch 402 charging port failure. Flag for QC inspection.

    About this skill

    The problem

    Negative reviews on marketplaces like Amazon or Shopee kill conversion rates because brand responses often sound defensive or robotic. Support teams struggle to balance public reputation management with efficient internal tracking of product defects.

    What it does

    • Drafts professional, non-defensive responses to 1-2 star customer reviews.
    • Suggests specific resolution paths like replacements, guides, or refund workflows.
    • Moves sensitive details to private channels while maintaining a helpful public presence.
    • Generates internal root-cause notes to help product teams prevent recurring issues.
    • Enforces a strict 280-character limit for concise, mobile-friendly communication.

    Frameworks & tools

    Optimized for Amazon Seller Central, Shopee Seller Centre, and Lazada Seller Center marketplaces.

    Why this beats prompting it yourself

    Standard LLM responses are often wordy, overly apologetic, or argumentative. This skill follows a specific "fixes-first" structure that prioritizes future shopper trust and ensures every response includes an actionable internal feedback loop for your operations team.

    Use cases

    • Recovering trust after a shipping delay or damaged package.
    • Addressing technical product defects in consumer electronics (3C) listings.
    • Converting a frustrated buyer into a repeat customer via proactive support.
    • Standardizing the communication style across a remote support team.

    Known limitations

    Does not handle medical or safety-related liability claims. Requires the user to provide a specific resolution offer (refund, replace, or guide) for each case.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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