Introduction

In daily store operations, review responses are high-frequency yet low-value repetitive labor. Neutral and negative reviews require restrained yet sincere replies, while responding to positive reviews requires avoiding monotonous clichés. Furthermore, different platforms—such as Taobao, Tmall, Meituan, Douyin, Pinduoduo, and JD—have distinct tones and acceptable scripts. This Skill condenses the process of “seeing a review → generating a proper response” into a single paste action. It covers the recovery for neutral/negative reviews and expressions of gratitude for positive reviews across 30+ platforms, automatically adapting to the specific tone and style of each platform.

What is This

Skill Name: Negative Review Recovery & Multi-Platform Review Replies (Taobao/Meituan/Douyin/Pinduoduo/JD/Tmall etc. 30+ APPs).

Coordinate: @user_c0fe5980/meituan-douyin-dianping-reply. Sourced from the community, published by user_c0fe5980, categorized under business-ops, current version 8.0.3. It targets store operators, outsourced operators, and business owners, solving the daily pain point of “how to reply to negative reviews and recover store ratings,” while simultaneously generating thank-you responses for positive reviews.

According to the SkillHub page display, the rating is 100000, downloads are 1140, and installations are 0. The tag is requires_api_key=false, meaning the current materials do not indicate a need for an additional API Key.

Core Features

  1. Multi-platform Coverage: Supports 30+ platforms including Taobao, Tmall, Meituan, Douyin, Pinduoduo, JD, Xiaohongshu, Amazon, etc., providing a unified entry point for handling review responses.
  2. Two Scenarios for Replies: Generates recovery scripts for neutral/negative reviews and thank-you replies for positive reviews, avoiding a half-baked workflow that only handles negative feedback.
  3. Tone and Style Adaptation: Automatically adapts to the platform’s tone and distinguishes between 5 styles, reducing the reuse of the same boilerplate across different platforms.
  4. Compliance Boundaries: Explicitly avoids fake orders, inducing review modifications, or simulated login broadcasting; reply content stays within the scope of compliant scripts.
  5. Complex Sentiment Recognition: Supports the recognition of complex expressions such as transitions, irony, and double negatives, providing sentiment intensity and confidence levels.
  6. Edge Case Review: Prompts manual review for low-confidence or boundary samples, rather than using them directly as definitive conclusions.

Trigger conditions come from the official profile: Users needing to “reply to reviews / reply to negative reviews / guide neutral reviews / thank for positive reviews / review management / store rating maintenance,” or paste the original text of a review from any platform hoping to get a proper response.

Installation and Activation

Below is the source code coordinate displayed on the SkillHub page:

@user_c0fe5980/meituan-douyin-dianping-reply

Official Address:

https://api.skillhub.cn/user_c0fe5980/meituan-douyin-dianping-reply

SkillHub Page:

https://www.skillhub.cn/skills/user_c0fe5980/meituan-douyin-dianping-reply

The scraped materials only provide the source code coordinates and official address; there are no directly verifiable one-click installation commands, package manager installation commands, or SKILL.md configuration fields. Therefore, the specific installation steps for Cursor / Codex CLI / Claude Code are not written here to avoid fabrication. Please refer to the official address page for display details before activation. The tag requires_api_key=false indicates that the current materials do not show a need for API Key configuration, but whether there are other prerequisite configurations must be confirmed upon activation.

Typical Usage

Hand over the original review text directly to the Skill, allowing it to determine the platform, sentiment, and style, and then generate a reply draft. Reproducible request methods based on official trigger conditions are listed below:

  1. Negative Review Reply: Paste the original text of a neutral or negative review from any platform and specify the need for a recovery script.
  2. Neutral Review Guidance: Paste the original text of a neutral review and specify the need for a guidance reply.
  3. Positive Review Thanks: Paste the original text of a positive review and specify the need for a thank-you reply.
  4. Review Management / Store Rating Maintenance: Provide multiple reviews at once, allowing the Skill to generate replies separately based on platform tone and style.

When using it, retain the confidence levels and review prompts provided by the Skill. For texts involving irony, double negatives, or abnormal emotional intensity, perform manual review before publishing.

Applicable Scenarios and Notes

Suitable for store operators, outsourced operators, and business owners to batch-generate drafts for daily review replies, especially for scenarios involving multiple platforms where different tones are desired.

Three points to note: First, it generates reply drafts, not automatic sending capabilities, and the compliance boundaries do not include simulated login broadcasting. Second, for complex sentiment recognition on boundary samples, manual review is required; do not treat confidence levels as definitive conclusions. Third, the current materials do not show installation commands and configuration fields, so verify the official page before implementation.

Conclusion

The value of this Skill lies in transforming review responses from “thinking of scripts for every single one daily” to “pasting the original text to get a draft,” while retaining platform tone differences, compliance boundaries, and sentiment recognition review prompts. Official Address: https://api.skillhub.cn/user_c0fe5980/meituan-douyin-dianping-reply.