菜单
Analyze e-commerce product reviews, ratings, and competitor feedback with privacy handling, VOC taxonomy, root-cause classification, evidence snippets, and prioritized improvement actions.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/Orkas-AI/Orkas-Awesome-AgentSkills --skill merch-review命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Capture, organize, search, and synthesize knowledge inside a Notion workspace. Use this skill whenever the user wants to save content to Notion, update a Notion knowledge base, or research a topic from internal Notion pages.
Work with Obsidian vaults and Web Clipper templates. Use this skill whenever the user asks to search, create, edit, move, rename, or delete Obsidian notes, maintain wikilinks, inspect vault paths, or generate an Obsidian Web Clipper JSON template.
Fetch public social posts and analyze social/campaign metrics. Use this skill whenever the user asks to collect public social discussion, analyze social sentiment inputs, calculate engagement/CTR/ROI, compare platforms/content, or turn social samples into traceable findings.
基于 SOC 职业分类
正在显示 SKILL.md
| name | merch-review |
| description_zh | 分析用户上传或合法导出的电商评论、评分、追评和竞品评价数据，输出情感分布、差评归因、痛点聚类、竞品评论对比、页面/客服/商品改进建议和优先级；适合"分析这批商品评论""找差评原因""对比竞品用户反馈"；触发词：商品评论、评论分析、差评归因、VOC、用户反馈、评价数据、竞品评论、口碑分析 |
| description_en | Analyze user-uploaded or legally exported e-commerce reviews, ratings, follow-up reviews, and competitor feedback to produce sentiment distribution, negative-review root causes, pain-point clusters, competitor comparisons, improvement actions, and priorities; For: "analyze these product reviews", "find why customers leave bad reviews", "compare competitor feedback"; Triggers: merch review, review analysis, negative reviews, VOC, customer feedback, rating data, competitor reviews, reputation analysis |
| description | Analyze e-commerce product reviews, ratings, and competitor feedback with privacy handling, VOC taxonomy, root-cause classification, evidence snippets, and prioritized improvement actions. |
| category | ecommerce |
用于电商评论和用户反馈数据分析。核心任务是从用户提供或合法导出的评论中识别口碑结构、差评原因、痛点主题和可执行改进方向。
不用于默认抓取受限平台评论、不绕过登录/反爬、不输出未脱敏个人信息、不保证建议一定提升评分或销量。
references/review-data-privacy.md。references/voc-taxonomy.md 聚类主题，并识别样本偏差。references/root-cause-and-actions.md 做差评归因和改进行动映射。references/voc-output-templates.md。