Tao/Tmall Detail & CS Script Op
Neg reviews/returns to detail & CS scripts
Tao/Tmall Detail & CS Script Op
Neg reviews/returns to detail & CS scripts
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Description
Diagnosed negative reviews and found the problems, then what? This Skill directly converts buyer negative reviews/return reasons into actionable solutions: 7-dimension page rating, title/main image/detail page FAQ restructuring, four types of CS scripts (pre-sale, objection handling, expectation management, post-sale), high-risk expression compliance replacement. The gap where the detail page says A but customer service says B is the root cause of negative reviews and returns — this locks both sides consistent. Honesty first: only make conservative judgments when materials are insufficient, never fabricate.
Why we love this skill
This skill takes a unique approach, turning e-commerce negative reviews and return reasons into the basis for detail page optimization and customer service script restructuring. Through a rigorous seven-step diagnostic process, it ensures the output solutions are actionable and compliant.
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ResearchNegative Review & Return Diag
Negative reviews are piling up and returns won't come down, but you can't tell if the issue is in specifications, ingredients, or after-sales service? Paste your negative reviews and 'Ask Everyone' comments here, and in 10 minutes get a problem map: 9 categories of feedback → detail page gaps → P0/P1/P2 modification priorities. It does one thing—helps you see the problem clearly, without fabrication or hard selling. Want to know exactly how to fix it and what it will look like? After the diagnosis, directly connect to the flagship 'E-commerce Detail Page & Customer Script Optimization Tool' for fully consistent tone—no need to repaste materials.
Xiaohongshu Comment Manager
A full-scenario comment management tool for brands, Xiaohongshu shop operators, and creators. This Skill is more than simply "helping you reply to comments." It is a complete comment operations system with the following core capabilities: 💬 Categorized reply script library: Generates 5+ differentiated replies for each comment type (positive feedback/agreement, product inquiries, skeptical or argumentative comments, mild complaints, and promotional spam). Every reply matches the brand voice while remaining professional, appropriate, and personable. Switch between friendly and enthusiastic, professional and objective, humorous and disarming, and other styles. 🚨 Crisis PR templates: Provides complete response workflows for negative comments and potential public-opinion issues—step one: offer a sincere apology (without deflecting or arguing); step two: explain the situation (state the facts objectively); step three: offer a solution (return/exchange, compensation, or follow-up); step four: guide the user to direct messages (moving a public dispute into private communication). Each template is reviewed for public-opinion safety to help avoid a second misstep where further explanations make the situation worse. 📌 Pinned comment plans: Generates three types of pinned comments for different goals—information supplements (product specifications, usage instructions, or purchase links), engagement prompts (polls, questions, or requests for submissions to spark discussion), and conversion prompts (limited-time offers, exclusive benefits, or direct-message redemption). These help turn the comment section from a "passive reply area" into an "active conversion area." 📊 Operations strategy recommendations: Provides an overall comment management strategy, including reply priority (negative comments > inquiries > positive feedback), suggested response times (within 2 hours for negative comments, 4 hours for inquiries, and 24 hours for positive feedback), a sensitive-word alert list, and recommendations for identifying and handling fake engagement. Whether you run a brand shop receiving hundreds of comments a day, manage a personal brand that needs reputation support, or are a small or midsize creator looking to increase comment engagement, this Skill can help you build a professional, efficient comment management system—turning the comment section into an asset for your brand reputation rather than a liability.
E-Commerce Thesis Check Guide
Stuck on your e-commerce undergraduate thesis? Does your current status section read like a company intro? Is your strategy section just the classic "strengthen promotion, improve service" four-piece set? Did you only realize two weeks before your defense that your title doesn't match your content? This skill is a revision workbench designed for e-commerce undergraduates. Its 13 commands help you check: whether the title is correct, whether the framework holds up, whether the paragraph arguments have loopholes, whether sentences are smooth, whether the same indicator has inconsistent definitions across chapters, why the defense teacher asks a certain question, and where follow-up questions might come from. In a word: AI won't write your thesis for you, but it helps you see where the problems are, how to fix them, and what to do next. What it cares about most: It will not fabricate data for you, will not write company facts for you, and will not write entire paragraphs of text for you. All revision suggestions leave a placeholder like 【Please replace with your real data】 so that you fill in with the authentic materials you collected yourself—so the thesis you submit is yours, not AI's. When checking sentence by sentence, each sentence's issues are categorized into two types: 【Structural issues】 that need content addition or rewriting, and 【Language issues】 that are suitable for polishing—so you won't use smooth wording to mask empty content, and you can clearly see which sentences are truly revised after editing. Coverage: mainstream e-commerce directions such as online marketing, store operations, short videos, live streaming sales, cross-border, private domains, agricultural product e-commerce, and more. From first draft self-check, chapter-by-chapter proofreading, version comparison to defense preparation, multiple rounds of follow-up. 【For advisors】 Teachers supervising e-commerce undergraduate theses can also use it this way: have students first run /check to diagnose the four layers of issues—framework, evidence, paragraphs, sentences—and then come for a meeting with the diagnostic report. This way, your grading time can focus more on judgment and direction rather than reading through everything to find problems. The /compare command can also directly compare the student's first draft and second draft to see if the revisions are adequate. Not suitable for: master's/doctoral theses, journal submissions, or non-e-commerce undergraduate theses. v2.2.1 early version. Feedback from students and advisors is welcome to help us make this revision workbench even smoother.
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
