专业买家问答创作者
请根据我提供的商品名称【 {{1761815388187.sourceName}} 】、商品卖点信息{{1761815388187.sellPoint}}和商户描述信息【 {{1761815388187.skuDescList}} 】,完成以下任务。 1. 识别商品所属类别 从以...
提示词(中文)
请根据我提供的商品名称【`{{#1761815388187.sourceName#}}`】、商品卖点信息{{#1761815388187.sellPoint#}}和商户描述信息【`{{#1761815388187.skuDescList#}}`】,完成以下任务。
---
## 1. 识别商品所属类别
从以下类别目中选择最匹配的一项:
- 肉禽蛋(强制主类目)
> ✅ 子类自动匹配规则(引用 `skuDescList` 关键词):
- `鲜肉`:当描述中含"0-4℃"或"冷鲜"或"排酸"(保质期≤7天)
- `冷冻肉`:当描述中含"-18℃"或"冷冻"或"急冻"
- `蛋类`:当描述中含"鲜蛋"或"可生食"或"散养"
> ❌ 禁止行为:
-添加其他类别目(如“即食食品”)
- 人工判断类目(必须严格依据关键词自动匹配)
- 若 `sourceName` 或 `skuDescList` 明确肉禽蛋关键词(`肉` `禽类` `蛋` `牛` `猪` `鸡`等),直接终止任务并返回错误码`MEAT_EGG_403`
---
## 2.生成5个口语化问题 + 回复答案
### 问题设计原则
#### ✅ 可选句式(仅限以下8类专业句式,可选其一):
1. "为什么[品类]要认准'[认证]'?"
2.“如何了解真正的[工艺/品种][品类]?”
3.“[品类]的[成分]含量怎么看才专业?”
4.“[品类]是怎么把[风险]控制在安全范围内的?”
5.选[部位]肉,关键看什么指标才不亏?
6.“[产区A]和[产区B]的[品类]有什么本质区别?”
7. “[服装技术]对[品类]品质的影响有多大?”
8.“[品种A]和[品种B]的[品类]差异在哪里?”
> 🎯 **核心要求**:问题设计不局限于当前SKU,而是从商品卖点中提炼行业通用知识
> - `[品类]` → 通用品类名称(如“牛肉”而非“这款牛肉”)
> - `[认证]`/`[工艺]`/`[产区]`等 → 从商品卖点中提取行业通用标准
> - **示例**:若商品卖点含“澳洲谷饲”,问题应为“澳洲和美国的牛肉有什么本质区别?”而不“为什么买这款牛肉要选澳洲谷饲?”
#### ✅ 设计比例要求:
- **100%体现行业专业性**:聚焦行业标准、通用指标、科学原理
- **0% SKU专属描述**:避免“这款”、“本产品”等色素
- **100%心智建设**:每个问题解决消费者对品类的普遍认知误区
> 📌生成铁律:
- 问题必须基于行业通用知识,否则当前SKU特性
- 回答必须提供可迁移的行业认知框架
- 示例:不是说“这款牛肉内脂肪含量8.2%”,而是说“优质牛肉内脂肪含量应在6-10%之间(NY/T 875-2022)”
---
### 回答结构要求
每条回答需严格遵循以下“总分结构”和格式:
第一部分:总结段(纯文本,无Markdown)
用一句话直接回答问题核心,必须清晰指引行业线索或科学事实。字数必须大于 30 个字,且不得使用任何 Markdown 语法。
✅ 正确示例:
“判断牛肉是否真正原切的关键是看肉质纹理情况连续性和水渗出,原切血纹理自然连贯且解冻后血水清澈,而合成肉质纹理且渗出浑浊液体,这是由取纤维结构决定的科学事实。”(62字)
❌ 禁止行为:
- 提及当前SKU(如“这牛肉”)
- 优势描述(如“更好吃”)
- 具体的烹饪建议
---
####第二部分:细述段(使用Markdown格式化)
从以下维度中任选2–4个进行详细阐述。
格式要求:必须使用Markdown语法排版,结构清晰。
##### 1.使用表情符号作为每段小标题图标
译:`🛡️` `🥩` `📊` `🌍` `🔬` `🧬`
##### 2.小标题加粗
##### 3.仅限以下6个行业认知维度(可选2-4个):
- `🛡️安全标准`:行业通用安全指标及国标污水厂
- `🥩品质判断`:消费者可操作的品质判断方法
- `📊行业数据`:行业干/优质区间/风险阈值
- `🌍产区特性`:不同产区对品类的普遍影响规律
- `🔬 服装技术`:技术原理及对品质的影响普遍性
- `🧬品种特性`:品种变异的科学解释及选择逻辑
##### 4.每段结构:直接、专业地回答问题核心
> ✅ 正确示例:
`🥩 **品质判断**:原切牛肉的肉质纹理应自然贯,被割纤维完整无断裂,这是判断是否为合成肉的关键指标。消费者可用手轻按肉面,原切牛肉回弹且均匀不会明显留下指印,而重组肉则容易变形且恢复缓慢。`
`🛡️ **安全标准**:无抗养殖的肉类必须符合GB 16549-2023标准,即养殖全程不使用抗生素,抗生素残留量必须低于0.1mg/kg(国标废水0.5mg/kg)。检测报告应明确标注“未检出”或具体残留数值,而不只是用“无抗”字样宣传。`
`🌍 **产区特性**:澳洲牛肉因气候温和、牧草蛋白质含量高,肌内脂肪分布较均匀,大理石花纹评分普遍比美国牛肉高0.3-0.7级。这导致澳洲牛肉口感较为细腻,适合讲究均衡营养的消费者,而美国牛肉脂肪含量略低,适合偏好少数的人群。`
##### 5.专业术语强化标注行业标准
> 示例:
首先提“无抗养殖”→必须标注`(GB 16549-2023定义:养殖全程不使用抗生素)`
---
### ❌ 禁止行为
- 提及当前SKU具体数据(如“本产品肌内脂肪含量8.2%”)
- 使用“本产品”、“本产品”等读数
- 提供具体的烹饪建议或食用方法
- 出现“煎、炒、煮、炸、炖、煮、烤”等烹饪方式
- 虚构行业数据(所有数据必须有国标/行业报告依据)
- 快速核心判断(如未明确回答“如何原切牛肉”)
- 使用优越评价(如“最好”、“最安全”)
- 强制采用“行业原理+普适性数据对比”结构(回答应直接聚焦问题本身)
---
## 3.提炼关键字核心(字数<4)
### 核心要求:
- 针对上面的问题,提炼了一个行业通用搜索词
### 提炼原则:
- 必须是消费者搜索**行业知识**的常用词
- 结构:`[品类]+[核心指标/认证/产区]`(如"牛肉肌脂")
- 字数要求小于4个字(强制≤3个字)
### 提炼示例:
|✅ 允许|结构|示例|
|---|---|---|
|安全标准|`[品类]+标准`|肉安全、蛋标准|
|品质判断|`[品类]+指标`|牛肉纹理、新鲜猪肉|
|产区特性|`[产区]+[品类]`|澳洲牛、内蒙羊|
|养殖技术|`[技术]+[品类]`|谷饲牛、草饲羊|
|品种特性|`[品种]+[品类]`|安格斯牛、黑猪种|
❌ 禁止行为:
- 包含SKU独有信息(如“XX品牌牛肉”)
- 超3汉字→“肌内脂肪”(4字)❌→“肌脂”(2字)✅
- 使用完整术语→“肌内脂肪含量”❌→“肌脂”✅
- 包含烹饪方式 → 「煎牛排」❌
🎯 **目标**:
关键词=消费者搜索行业知识的短词+体现核心指标+无品牌指向
---
## 📦 输出格式要求
返回一个 **JSON 请求**,包含 **5 个对象**,每个对象结构如下:
```json
[
{
"keyword": "行业通用关键词",
"question": "行业面向的专业问题",
"answer": "格式化总分段落回答内容",
"sourceId": "{{#1761815388187.sourceId#}}",
"sourceName": "{{#1761815388187.sourceName#}}",
"sourceType": {{#1761815388187.sourceType#}},
"hotKeyWord": "{{#1761815388187.hotKeyWord#}}"
},
...
]提示词(英文)
According to my trade name.`{{#1761815388187.sourceName#}}`】、Commodity sales information{{#1761815388187.sellPoint#}}And business description.`{{#1761815388187.skuDescList#}}`】,The following tasks were accomplished.
---
## 1. Identification of commodity categories
Select the best match from the following categories:
- Meat eggs (compulsory main category)
> ✅ Subclass automatic matching rules (references) `skuDescList` Key words:
- `Fresh meat.`:When description contains"0-4℃"or"Cold."or"Acid"(Validation period≤7Oh, my God.
- `Frozen meat`:When description contains"-18℃"or"Freeze."or"Freeze!"
- `Eggs`:When description contains"Fresh eggs."or"Feeding."or"I'll take care of it."
> ❌ Prohibition:
-Add other categories (e.g. “Purpose food”)
- Manual judgement category (must be automatically matched strictly by keyword)
- If `sourceName` or `skuDescList` Clarify the key words for meat and eggs`Meat.` `Avian` `Eggs.` `Cow.` `Pig.` `Chicken.`) Directly terminate task and return error Code`MEAT_EGG_403`
---
## 2.Generate5Question of monolingualization + Answer Answer
### Issue design principles
#### ✅ Optional sentence (only below)8Type of professional sentence, one option:
1. "Why?[Type]Make sure.'[Authentication]'?"
2.“How to understand the real[Process/Species][Type]?”
3.“[Type]Yes.[Component]What do you think of the content?
4.“[Type]How?[Risk]Controlled within safety?”
5.Select[Parts]Meat, what are the key indicators?
6.“[ProductionA]and[ProductionB]Yes.[Type]What's the difference?"
7. “[Clothing technology]Yeah.[Type]What is the impact of quality?"
8.“[SpeciesA]and[SpeciesB]Yes.[Type]What's the difference?"
> 🎯 **Core requirements**:Problem design is not limited to the currentSKU,It's the general knowledge of the industry from the sales outlets.
> - `[Type]` → General item type names (e.g. “veal” instead of “the beef”)
> - `[Authentication]`/`[Process]`/`[Production]`Wait. → Common industry criteria drawn from commodity outlets
> - **Example:**:If the selling point contains “Australian grain feed”, the question should be “What is the difference between Australian and American beef?” Instead of "Why buy this beef for Australia?"
#### ✅ Design scale requirements:
- **100%Reflecting industry specialization**:Focus industry standards, common indicators, scientific principles
- **0% SKUExclusive Description**:Avoid "this paragraph", "this product" etc.
- **100%Mental construction**:Each problem solves the general perception of consumer goods.
> 📌Generate iron:
- The problem must be based on industry-wide knowledge, otherwise the currentSKUFeature
- Answers must provide a transportable industry cognitive framework
- Example: Not "the fat content of the beef."8.2%”,It says, "The fat content of the high-quality beef should be6-10%BetweenNY/T 875-2022)”
---
### Answer structural requirements
Each response must strictly follow the following “total sub-structure” and format:
Part I: Summary paragraphs (in plain text, none)Markdown)
To answer the core of the question in a single sentence, it is important to provide clear guidance on the lines of industry or scientific facts. Word must be greater than 30 One word and no use of any word Markdown Syntax:
✅ Correct example:
“The key to determining whether beef is really precipitous is the continuity of the meat texture and water seepage, the natural consistency of the original hemorrhagic texture and the cleanness of the blood after unfrozen, while synthetic meat texture and seepage of the obfuscated liquid are scientific facts determined by the fibrous structure.”62word)
❌ Prohibition:
- Reference to CurrentSKU(Like "this beef"
- Advantage description (e.g. “better food”)
- Specific cooking advice
---
####Part II: Detailed paragraphs (use)MarkdownFormatting)
Select any of the following dimensions2–4Details are given.
Format requirements: Must be usedMarkdownGrammar layout, clear structure.
##### 1.Use emoticons as an icon for each subheading
♪ I've never seen ♪`🛡️` `🥩` `📊` `🌍` `🔬` `🧬`
##### 2.Underheads thicker
##### 3.Only below6Cognitive dimensions of individual industries (optional)2-4Numbers:
- `🛡️Safety standards`:General industry safety indicators and national standard sewage plants
- `🥩Quality judgement`:Consumer-operated quality judgement methods
- `📊Industry data`:Industry/High-quality spaces/Risk threshold
- `🌍Production characteristics`:General influence patterns for product types in different regions
- `🔬 Clothing technology`:Universality of technical principles and effects on quality
- `🧬Varieties characteristics`:Scientific interpretation of diversity and selection logic
##### 4.Structure of each segment: Direct and professional answers to core questions
> ✅ Correct example:
`🥩 **Quality judgement**:It is a key indicator of whether or not raw meat is judged by the fact that the meat tattoos of the original beef are supposed to be natural and that the integrity of the cleavages is intact. Consumers can use hand-stamping on the face of the meat, where the original beef is cut back and evenly does not leave a clear fingerprint, while recombinant meat is susceptible to deformation and slow recovery.`
`🛡️ **Safety standards**:The unfarmed meat must be compatible.GB 16549-2023Standard, i.e., no antibiotics are used throughout farming, and the levels of antibiotics must be below0.1mg/kg(National standard wastewater0.5mg/kg)。The test report should clearly indicate the “undetected” or specific residual values, and not just be publicized by the word “no resistance”.`
`🌍 **Production characteristics**:Australian beef is generally rated higher than American beef due to mild weather, high herbs protein content and more even distribution of fat in the muscles.0.3-0.7Level. This has led to a delicate taste of Australian beef, suitable for balanced nutrition consumers, while the fat content of beef in the United States is slightly lower and suitable for a minority.`
##### 5.Enhanced industry standard for labelling of professional terms
> Example:
First of all, "no resistance."→Must Mark`(GB 16549-2023Definition: Antibiotics are not used throughout farming)`
---
### ❌ Prohibition of conduct
- Reference to CurrentSKUSpecific data (e.g., “Fat content in this product”8.2%”)
- Use this product, this product, etc.
- Provide specific cooking advice or food methods
- Cooking methods such as "fried, fried, boiled, fried, stewed, cooked, baked"
- Fiction industry data (all data must have national benchmarks)/Industry report basis)
- Quick core judgement (e.g., lack of a clear answer “how to cut beef))
- Use of superior evaluation (e.g. “best”, “most secure”)
- Mandatory adoption of “industry principles”+Common data comparison structure (the answer should focus directly on the question itself)
---
## 3.Refinement of keyword core (number of words)<4)
### Core requirements:
- In response to the above questions, a common industry search term was refined.
### Refining principles:
- Must be a consumer search.**Industry knowledge**Common Words
- Structure:`[Type]+[Core indicators/Authentication/Production]`(Like"Beef fat.")
- Word size requires less than4Word (compulsory)≤3Words)
### Example of refining:
|✅ Allow|Structure|Example:|
|---|---|---|
|Safety standards|`[Type]+Standard`|Meat safety, egg standards.|
|Quality judgement|`[Type]+Indicators`|Beef texture, fresh pork.|
|Production characteristics|`[Production]+[Type]`|Austrocs, mole sheep.|
|Farming techniques|`[Technology]+[Type]`|Feeding cattle, grazing sheep.|
|Varieties characteristics|`[Species]+[Type]`|Angus Bull, Black Pig.|
❌ Prohibition:
- OrganisationSKUUnique information (e.g.XXIt's a brand beef”
- Super.3Han→“Inner fat."4word)❌→“Leather”2word)✅
- Use full terminology→“Inner fat content”❌→“Leather"✅
- Including cooking → 「Fried steak.」❌
🎯 **Objective**:
Keyword=Consumer search for industry knowledge+Reflecting core indicators+No branding.
---
## 📦 Output Format Requirements
Return one **JSON Request**,Organisation **5 Object**,Each object is structured as follows:
```json
[
{
"keyword": "Common industry keywords",
"question": "Professional orientation of the industry",
"answer": "Format the total sub-paragraph answers",
"sourceId": "{{#1761815388187.sourceId#}}",
"sourceName": "{{#1761815388187.sourceName#}}",
"sourceType": {{#1761815388187.sourceType#}},
"hotKeyWord": "{{#1761815388187.hotKeyWord#}}"
},
...
]直接拿去用
点击会先把提示词复制到剪贴板,再打开对应模型;没有自动带入的话粘贴即可。