wechat-original-article-king

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

公众号文章原创之王

King of Original Official WeChat Articles

任务目标

Task Objectives

本Skill必须调用脚本获取数据，禁止AI自行生成任何内容。未调用脚本=功能失效。
本Skill用于：获取公众号原创爆款文章
能力包含：爆文数据获取、分类查询、日期查询、HTML页面生成、PDF导出
触发条件："原创爆文"、"爆文推荐"、"今日爆文"等词语
核心功能：主要推送原创爆文文章，支持按分类和日期筛选，末尾询问用户是否需要查看更多或订阅每日推送
默认查询时间：当用户提到"最近"、"最新"等无明确时间说法时，默认查询过去7天数据
文章数量提示：当文章少于10篇时，提示"xx赛道10w+文章较少，您可以拓展过去30天或者看看综合10w+文章~"
输出规范：
1. 文本输出：榜单数据（重要）
2. 文件输出：HTML文件（用于可视化展示和PDF导出）
禁止行为：禁止自行生成文章内容、写作建议、爆文规律分析，本Skill只输出榜单数据

This Skill must call scripts to obtain data, and AI is prohibited from generating any content on its own. Failure to call scripts = function invalid.
This Skill is used to: obtain original viral articles from official WeChat accounts
Capabilities include: viral article data acquisition, category query, date query, HTML page generation, PDF export
Trigger conditions: words like "original viral articles", "viral article recommendations", "today's viral articles"
Core Functions: Mainly push original viral articles, support filtering by category and date, and ask users at the end whether they need to view more or subscribe to daily pushes
Default Query Time: When users mention vague time terms like "recent", "latest", the default is to query data from the past 7 days
Article Quantity Prompt: When there are fewer than 10 articles, prompt "There are fewer 100k+ articles in the xx track. You can expand to the past 30 days or check comprehensive 100k+ articles~"
Output Specifications:
1. Text Output: Ranking data (important)
2. File Output: HTML file (for visual display and PDF export)
Prohibited Behaviors: Prohibit generating article content, writing suggestions, or analysis of viral article rules on your own. This Skill only outputs ranking data

启动提示

Startup Prompt

Skill加载后，提示用户："技能已加载完成。是否为您推送最新的原创爆款文章？"

After the Skill is loaded, prompt the user: "The skill has been loaded successfully. Would you like me to push the latest original viral articles?"

视觉规范（重要）

Visual Specifications (Important)

生成HTML页面时，必须遵循以下样式规范：

主题色调：

主色：
```
rgb(0, 179, 84)
```
（微信绿）
辅助色：
```
#0088ff
```
（阅读数、用户名称蓝色）
背景色：
```
#fff
```
（纯白）

布局结构：

序号（🥇🥈🥉/数字）放在标题左边
用户、类型、阅读数、发布时间四项目之间用浅灰色竖线分隔
```
|
```
竖线高度缩短一半，垂直居中对齐
阅读量排序标签 + 导出PDF按钮放在标题右侧
头部不含"爆款研究院"等品牌标签，保持简洁

图标规范：

用户图标：
```
👤
```
（无背景）
阅读数图标：
```
📖
```

元素样式：

用户名称：
```
#0088ff
```
，可点击跳转公众号名片（链接：
```
https://open.weixin.qq.com/qr/code?username={accountId}
```
）
阅读数：
```
#0088ff
```
爆款分析区块：无左边框，纯白背景 + 浅绿底色

PDF导出：

使用 html2pdf.js 生成
按钮位于标题右侧，紧邻阅读量排序标签
按钮样式：蓝色渐变背景，白色文字，12px字号
自适应单页模式：PDF尺寸根据内容实际大小自动调整，所有内容在一页完整展示，禁用分页分割
PDF配置要点：
```
pagebreak: { mode: 'none' }
```
、
```
margin: 0
```
、根据内容高度/宽度计算纸张尺寸、添加
```
page-break-inside: avoid
```
样式

When generating HTML pages, the following style specifications must be followed:

Theme Colors:

Primary Color:
```
rgb(0, 179, 84)
```
(WeChat Green)
Secondary Color:
```
#0088ff
```
(blue for read counts and usernames)
Background Color:
```
#fff
```
(pure white)

Layout Structure:

Serial numbers (🥇🥈🥉/numbers) are placed to the left of the title
The four items: user, type, read count, publish time are separated by light gray vertical lines
```
|
```
The vertical line height is shortened by half and aligned vertically centered
Read count sorting label + Export PDF button are placed to the right of the title
No brand labels like "Viral Research Institute" in the header, keep it concise

Icon Specifications:

User Icon:
```
👤
```
(no background)
Read Count Icon:
```
📖
```

Element Styles:

Username:
```
#0088ff
```
, clickable to jump to the official account business card (link:
```
https://open.weixin.qq.com/qr/code?username={accountId}
```
)
Read Count:
```
#0088ff
```
Viral Analysis Block: No left border, pure white background + light green bottom background

PDF Export:

Generate using html2pdf.js
The button is located to the right of the title, next to the read count sorting label
Button style: blue gradient background, white text, 12px font size
Adaptive Single-Page Mode: PDF size automatically adjusts according to the actual content size, all content is displayed completely on one page, pagination splitting is disabled
PDF Configuration Key Points:
```
pagebreak: { mode: 'none' }
```
,
```
margin: 0
```
, calculate paper size based on content height/width, add
```
page-break-inside: avoid
```
style

前置准备

Preparations

无需额外依赖，脚本使用Python标准库

No additional dependencies required, scripts use Python standard libraries

数据时间说明

Data Time Instructions

数据同步时间：每日19:30同步
同步数据范围：前一天（T-1）的数据
查询数据范围：
- 当前时间 < 19:30：查询 T-2 数据（前天）
- 当前时间 >= 19:30：查询 T-1 数据（昨天）
输出标注：数据更新时间=T-1日期，查询数据日期=T-2日期
默认查询时间：当用户提到"最近"、"最新"等无明确时间说法时，默认查询过去7天

Data Synchronization Time: Synchronized daily at 19:30
Synchronized Data Range: Data from the previous day (T-1)
Query Data Range:
- Current time < 19:30: Query T-2 data (the day before yesterday)
- Current time >= 19:30: Query T-1 data (yesterday)
Output Labeling: Data update time = T-1 date, query data date = T-2 date
Default Query Time: When users mention vague time terms like "recent", "latest", the default is to query data from the past 7 days

操作步骤

Operation Steps

1. 用户意图识别（智能体处理）

1. User Intent Recognition (Handled by Agent)

智能体首先识别用户输入的意图类型：

分类查询：用户输入具体分类（如"科技"、"健康养生"、"财经"等） → 匹配分类，输出该分类 Top20 → 参考分类映射表进行分类匹配
日期查询：用户输入具体日期（如"5月3日的原创爆款"、"昨日爆文"） → 输出指定日期的爆文Top20
时间范围查询：用户输入"最近"、"最新"等无明确时间说法 → 默认查询过去7天的数据，输出Top20
直接查询：用户输入类似以下词语：
- "今日爆文"、"今日原创文章"、"原创文章"
- "最新爆文"、"爆文推荐"、"原创爆文"
- "热门爆文"、"每日爆文"、"爆文榜单" → 输出最新原创爆款文章 Top20
模糊输入：用户输入不明确 → 直接推送今日原创热门文章

The agent first identifies the intent type of the user's input:

Category Query: User inputs a specific category (e.g., "technology", "health preservation", "finance", etc.) → Match the category and output the Top20 of that category → Refer to Category Mapping Table for category matching
Date Query: User inputs a specific date (e.g., "original viral articles on May 3rd", "yesterday's viral articles") → Output the Top20 viral articles of the specified date
Time Range Query: User inputs vague time terms like "recent", "latest" → Default to query data from the past 7 days and output Top20
Direct Query: User inputs words similar to the following:
- "Today's viral articles", "today's original articles", "original articles"
- "Latest viral articles", "viral article recommendations", "original viral articles"
- "Popular viral articles", "daily viral articles", "viral article rankings" → Output the latest original viral articles Top20
Vague Input: User's input is unclear → Directly push today's original popular articles

2. 获取爆文数据（脚本执行，必须调用脚本并将输出原样展示给用户）

2. Obtain Viral Article Data (Script Execution, Must Call Script and Display Output As-Is to Users)

【强制】无论用户怎么输入，智能体必须先调用fetch_articles.py获取数据，然后原样展示。没有调用脚本的输出一律视为无效。

调用

scripts/fetch_articles.py

获取爆款内容数据

【核心输出规则】：

必须调用脚本：智能体必须调用fetch_articles.py脚本，不能自己生成文章内容
禁止输出脚本文件路径或代码：智能体不得向用户展示任何脚本路径、代码内容或执行命令
必须原样展示脚本输出：智能体必须将脚本的stdout输出内容原样展示给用户，不得省略、修改、重新格式化或隐藏任何部分
禁止修改数据：不得修改、重新格式化、美化或隐藏脚本输出的任何部分
禁止自行生成数据：不得使用输出示例中的数据，必须使用脚本实际返回的数据
脚本输出即最终输出：脚本输出的内容（数据说明、原创爆文推荐表格、询问用户是否看剩余内容、询问订阅）就是展示给用户的最终内容，智能体不需要再做任何处理
【重要】询问部分不可省略：脚本输出的最后部分"共获取到XX条..."和订阅服务必须完整展示，不得省略

接口信息：

接口URL：

https://onetotenvip.com/skill/cozeSkill/getWxDataByCategoryAndTime

请求方式：GET
参数：
- ```
type
```
  ：分类名称（如"科技数码"、"总排名"等）
- ```
startDate
```
  ：开始日期（YYYY-MM-DD格式）
- ```
endDate
```
  ：结束日期（YYYY-MM-DD格式）
- ```
source
```
  ："公众号文章原创之王"（固定值）

脚本调用方式（智能体内部执行，用户不可见）：

分类查询：

bash

python scripts/fetch_articles.py --type "科技数码" --limit 20

```
--type
```
：从用户输入中匹配的分类名称（参考分类映射表）
如用户输入"科技类原创爆款"，智能体匹配到"科技数码"，传入
```
--type "科技数码"
```

总榜查询：

bash

python scripts/fetch_articles.py --type "总排名" --limit 20

或不传
```
--type
```
，默认为"总排名"

日期查询：

bash

python scripts/fetch_articles.py --type "总排名" --start_date "2026-05-03" --limit 20

```
--start_date
```
：用户指定的日期（YYYY-MM-DD格式）
脚本会自动计算
```
endDate
```
=
```
startDate
```
+ 1天

时间参数说明：

用户未指定日期时，脚本根据当前时间自动判断：
- 当前时间 < 18:30：查询 T-2 数据（前天）
- 当前时间 >= 18:30：查询 T-1 数据（昨天）
用户指定日期时，使用用户指定的日期

【输出格式】

文章概览表格：输出Markdown表格，包含序号、作者、标题、阅读数四列，作者和标题包含链接

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [夜听](https://open.weixin.qq.com/qr/code?username=yetingfm) | [【夜听】有一种感情，叫不再联系](https://mp.weixin.qq.com/s?...) | 10w+ |
| 2 | [罗辑思维](https://open.weixin.qq.com/qr/code?username=luojisw) | [李璞：普通人如何实现财务自由？](https://mp.weixin.qq.com/s?...) | 10w+ |

输出示例（仅展示格式，实际数据以脚本返回为准）：

最新一期数据：

💡 数据说明
公众号原创文章推荐将在每日19点30分准时更新昨日文章数据，以下数据为获取时间时的快照，和实时数据有所差别。

非常抱歉🙏，最新的是前天的数据，我将为您查询最接近您需求的2026年05月12日原创文章。

📊 原创爆文推荐
最近30天的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [作者A](链接) | [文章标题](链接) | 10w+ |
...

导出功能：输出生成HTML榜单页面，表格内容支持导出 PDF 格式，自动生成并打开

共获取到50条爆款原创热门文章,当前展示前20条。

📬 订阅服务
是否需要订阅具体赛道的账号表现？我们支持：
人文资讯、知识百科、健康养生、时尚潮流、美食餐饮、乐活生活、旅游出行、搞笑幽默、情感心理、体育娱乐、美容美体、文摘精选、民生资讯、财富理财、科技数码、创投商业、汽车交通、房产楼市、职场发展、教育考试、学术研究、企业品牌、总排名
订阅推送 — 每天19点30分推送最新公众号原创文章
暂不需要 — 仅本次查询

指定日期查询（日期在有效范围内）：

💡 数据说明
公众号原创文章推荐将在每日19点30分准时更新昨日文章数据，以下数据为获取时间时的快照，和实时数据有所差别。

📊 原创爆文推荐
2026年05月03日当天的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [作者A](链接) | [文章标题](链接) | 10w+ |
...

用户查询"今日爆款"（今日数据未更新）：

💡 数据说明
公众号原创文章推荐将在每日19点30分准时更新昨日文章数据，以下数据为获取时间时的快照，和实时数据有所差别。

非常抱歉🙏，最新的是前天的数据，我将为您查询最接近您需求的2026年05月12日原创文章。

📊 原创爆文推荐
2026年05月12日当天的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [作者A](链接) | [文章标题](链接) | 10w+ |
...

用户查询"最近7天"（查询时间范围超出最新数据）：

💡 数据说明
公众号原创文章推荐将在每日19点30分准时更新昨日文章数据，以下数据为获取时间时的快照，和实时数据有所差别。

非常抱歉🙏，最新的是前天的数据，我将为您查询最接近您需求的时间范围。

📊 原创爆文推荐
2026年05月06日至2026年05月12日的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [作者A](链接) | [文章标题](链接) | 10w+ |
...

特殊情况 - 用户查询时间早于回溯日期：

💡 数据说明
公众号原创文章推荐将在每日19点30分准时更新昨日文章数据，以下数据为获取时间时的快照，和实时数据有所差别。

非常抱歉🙏，最新的是昨天的数据，我将为您查询最接近您需求的2026年05月08日原创文章。

📊 原创爆文推荐
2026年05月08日当天的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [作者A](链接) | [文章标题](链接) | 10w+ |
...

特殊情况 - 用户查询时间早于回溯日期：

💡 数据说明
公众号原创文章推荐将在每日19点30分准时更新昨日文章数据，以下数据为获取时间时的快照，和实时数据有所差别。

非常抱歉🙏，目前最多支持回溯「过去30天」（最早至2026年04月15日），我将为您查询最接近您需求的时间范围~

📊 原创爆文推荐
2026年04月15日当天的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [作者A](链接) | [文章标题](链接) | 10w+ |
...

【重要】必须使用脚本实际返回的数据，不得使用上述示例数据！

【重要】只要数据查询日期和用户询问日期不一致，就必须在数据说明后显示提示信息：

查询日期 > 最新日期：

非常抱歉🙏，最新的是{查询日期}的数据，我将为您查询最接近您需求的{查询日期}原创文章。

查询日期 < 回溯日期：

非常抱歉🙏，目前最多支持回溯「过去30天」（最早至{回溯日期}），我将为您查询最接近您需求的时间范围~

【Mandatory】No matter what the user inputs, the agent must first call fetch_articles.py to obtain data, then display it as-is. Any output without calling the script is considered invalid.

Call

scripts/fetch_articles.py

to obtain viral content data

【Core Output Rules】:

Must Call Script: The agent must call the fetch_articles.py script, and cannot generate article content on its own
Prohibit Outputting Script File Paths or Code: The agent must not show users any script paths, code content, or execution commands
Must Display Script Output As-Is: The agent must display the stdout output content of the script to users as-is, without omitting, modifying, reformatting, or hiding any part
Prohibit Modifying Data: Do not modify, reformat, beautify, or hide any part of the script output
Prohibit Generating Data on Your Own: Do not use data from output examples, must use the actual data returned by the script
Script Output is Final Output: The content output by the script (data description, original viral article recommendation table, asking users whether to view remaining content, asking about subscription) is the final content displayed to users, and the agent does not need to do any further processing
【Important】Do Not Omit the Inquiry Part: The last part of the script output "A total of XX items obtained..." and the subscription service must be displayed completely, without omission

Interface Information:

Interface URL:

https://onetotenvip.com/skill/cozeSkill/getWxDataByCategoryAndTime

Request Method: GET
Parameters:
- ```
type
```
  : Category name (e.g., "technology and digital", "overall ranking", etc.)
- ```
startDate
```
  : Start date (YYYY-MM-DD format)
- ```
endDate
```
  : End date (YYYY-MM-DD format)
- ```
source
```
  : "King of Original Official WeChat Articles" (fixed value)

Script Calling Method (Executed Internally by Agent, Invisible to Users):

Category Query:

bash

python scripts/fetch_articles.py --type "technology and digital" --limit 20

```
--type
```
: Category name matched from user input (refer to the category mapping table)
For example, if the user inputs "original viral articles in technology category", the agent matches "technology and digital" and passes
```
--type "technology and digital"
```

Overall Ranking Query:

bash

python scripts/fetch_articles.py --type "overall ranking" --limit 20

Or do not pass
```
--type
```
, default is "overall ranking"

Date Query:

bash

python scripts/fetch_articles.py --type "overall ranking" --start_date "2026-05-03" --limit 20

```
--start_date
```
: Date specified by the user (YYYY-MM-DD format)
The script will automatically calculate
```
endDate
```
=
```
startDate
```
+ 1 day

Time Parameter Instructions:

When the user does not specify a date, the script automatically judges based on the current time:
- Current time < 18:30: Query T-2 data (the day before yesterday)
- Current time >= 18:30: Query T-1 data (yesterday)
When the user specifies a date, use the date specified by the user

【Output Format】

Article Overview Table: Output a Markdown table containing four columns: serial number, author, title, read count. The author and title include links

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Ye Ting](https://open.weixin.qq.com/qr/code?username=yetingfm) | [【Ye Ting】A kind of relationship called no longer contact](https://mp.weixin.qq.com/s?...) | 100k+ |
| 2 | [Luoji Siwei](https://open.weixin.qq.com/qr/code?username=luojisw) | [Li Pu: How can ordinary people achieve financial freedom?](https://mp.weixin.qq.com/s?...) | 100k+ |

Output Example (Only shows format, actual data is subject to script return):

Latest Issue Data:

💡 Data Description
Official WeChat original article recommendations will be updated daily at 19:30 with data from the previous day. The following data is a snapshot at the time of acquisition, and there may be differences from real-time data.

We're sorry 🙏, the latest data is from the day before yesterday. I will query the original articles closest to your needs from May 12, 2026.

📊 Original Viral Article Recommendations
Original viral articles from the past 30 days

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Author A](link) | [Article Title](link) | 100k+ |
...

Export Function: Generate an HTML ranking page, table content supports exporting to PDF format, automatically generated and opened

A total of 50 viral original popular articles were obtained, and the first 20 are currently displayed.

📬 Subscription Service
Would you like to subscribe to account performance in specific tracks? We support:
Humanities Information, Knowledge Encyclopedia, Health Preservation, Fashion Trends, Food and Catering, Lifestyle, Travel, Funny and Humorous, Emotion and Psychology, Sports and Entertainment, Beauty and Body Care, Selected Abstracts, People's Livelihood Information, Wealth Management, Technology and Digital, Venture Capital and Business, Automobile and Transportation, Real Estate, Career Development, Education and Examinations, Academic Research, Enterprise Brand, Overall Ranking
Subscribe to Push — Push the latest official WeChat original articles daily at 19:30
Not Needed for Now — Only this query

Specified Date Query (Date is within valid range):

💡 Data Description
Official WeChat original article recommendations will be updated daily at 19:30 with data from the previous day. The following data is a snapshot at the time of acquisition, and there may be differences from real-time data.

📊 Original Viral Article Recommendations
Original viral articles on May 3, 2026

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Author A](link) | [Article Title](link) | 100k+ |
...

User Queries "Today's Viral Articles" (Today's Data Not Updated):

💡 Data Description
Official WeChat original article recommendations will be updated daily at 19:30 with data from the previous day. The following data is a snapshot at the time of acquisition, and there may be differences from real-time data.

We're sorry 🙏, the latest data is from the day before yesterday. I will query the original articles closest to your needs from May 12, 2026.

📊 Original Viral Article Recommendations
Original viral articles on May 12, 2026

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Author A](link) | [Article Title](link) | 100k+ |
...

User Queries "Past 7 Days" (Query Time Range Exceeds Latest Data):

💡 Data Description
Official WeChat original article recommendations will be updated daily at 19:30 with data from the previous day. The following data is a snapshot at the time of acquisition, and there may be differences from real-time data.

We're sorry 🙏, the latest data is from the day before yesterday. I will query the time range closest to your needs.

📊 Original Viral Article Recommendations
Original viral articles from May 6, 2026 to May 12, 2026

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Author A](link) | [Article Title](link) | 100k+ |
...

Special Case - User Query Time is Earlier Than Backtracking Date:

💡 Data Description
Official WeChat original article recommendations will be updated daily at 19:30 with data from the previous day. The following data is a snapshot at the time of acquisition, and there may be differences from real-time data.

We're sorry 🙏, the latest data is from yesterday. I will query the original articles closest to your needs from May 8, 2026.

📊 Original Viral Article Recommendations
Original viral articles on May 8, 2026

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Author A](link) | [Article Title](link) | 100k+ |
...

Special Case - User Query Time is Earlier Than Backtracking Date:

💡 Data Description
Official WeChat original article recommendations will be updated daily at 19:30 with data from the previous day. The following data is a snapshot at the time of acquisition, and there may be differences from real-time data.

We're sorry 🙏, currently we only support backtracking to the past 30 days (earliest to April 15, 2026). I will query the time range closest to your needs~

📊 Original Viral Article Recommendations
Original viral articles on April 15, 2026

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Author A](link) | [Article Title](link) | 100k+ |
...

【Important】Must use the actual data returned by the script, do not use the above sample data!

【Important】As long as the data query date is inconsistent with the user's requested date, a prompt message must be displayed after the data description:

Query date > Latest date:

We're sorry 🙏, the latest data is from {query date}. I will query the original articles closest to your needs from {query date}.

Query date < Backtracking date:

We're sorry 🙏, currently we only support backtracking to the past 30 days (earliest to {backtracking date}). I will query the time range closest to your needs~

3. 生成HTML页面（自动执行）

3. Generate HTML Page (Automatic Execution)

【重要】每次输出表格数据后，必须自动调用generate_hot_html.py生成HTML页面并打开，无需用户额外触发。

调用脚本读取临时JSON文件数据，填充HTML模板，生成公众号风格的HTML页面：

脚本位置：

scripts/generate_hot_html.py

参数说明：

```
temp_file
```
: 临时JSON文件路径（默认：
```
temp_articles.json
```
）
```
output
```
: 输出文件路径（建议：
```
{分类}_热门榜单.html
```
）
```
display_count
```
: 要展示的文章数量（重要：必须与对话中展示的数量一致）

命令示例：

bash

python scripts/generate_hot_html.py --temp_file temp_articles.json --output "原创爆文_榜单.html" --display_count 20

【Important】After outputting table data each time, must automatically call generate_hot_html.py to generate and open the HTML page, no additional user trigger required.

Call the script to read data from the temporary JSON file, fill the HTML template, and generate an official WeChat-style HTML page:

Script Location:

scripts/generate_hot_html.py

Parameter Instructions:

```
temp_file
```
: Temporary JSON file path (default:
```
temp_articles.json
```
)
```
output
```
: Output file path (recommended:
```
{category}_Hot Ranking.html
```
)
```
display_count
```
: Number of articles to display (Important: Must be consistent with the number displayed in the conversation)

Command Example:

bash

python scripts/generate_hot_html.py --temp_file temp_articles.json --output "Original Viral Articles_Ranking.html" --display_count 20

4. 订阅服务

4. Subscription Service

主动询问用户是否需要订阅特定分类：

是否需要订阅具体赛道的账号表现？我们支持：
人文资讯、知识百科、健康养生、时尚潮流、美食餐饮、乐活生活、旅游出行、搞笑幽默、情感心理、体育娱乐、美容美体、文摘精选、民生资讯、财富理财、科技数码、创投商业、汽车交通、房产楼市、职场发展、教育考试、学术研究、企业品牌、总排名

用户选择订阅后：

订阅成功后：每天19:30推送最新一期原创爆文数据
暂不需要 - 仅本次查询

Actively ask users whether they need to subscribe to specific categories:

Would you like to subscribe to account performance in specific tracks? We support:
Humanities Information, Knowledge Encyclopedia, Health Preservation, Fashion Trends, Food and Catering, Lifestyle, Travel, Funny and Humorous, Emotion and Psychology, Sports and Entertainment, Beauty and Body Care, Selected Abstracts, People's Livelihood Information, Wealth Management, Technology and Digital, Venture Capital and Business, Automobile and Transportation, Real Estate, Career Development, Education and Examinations, Academic Research, Enterprise Brand, Overall Ranking

After the user chooses to subscribe:

After successful subscription: Push the latest issue of original viral article data daily at 19:30
Not Needed for Now — Only this query

注意事项

Notes

【核心规则】禁止向用户输出脚本路径、代码或执行命令，直接展示脚本运行结果
榜单数据为实时获取，可能因网络或API状态有所延迟
首次展示前20条，超过20条时提示用户是否全部展示
分类冷门时提示"该领域暂无爆款数据，建议换个方向或查看最新原创爆文"
HTML内容一致性：HTML中的文章内容必须与对话中展示的内容完全一致
数据说明：输出时必须注明数据库更新日期和查询的日期

【Core Rule】Prohibit outputting script paths, code, or execution commands to users, directly display the script running results
Ranking data is obtained in real-time, and may be delayed due to network or API status
Display the first 20 articles initially, prompt users whether to display all when there are more than 20 articles
When the category is niche, prompt "There is no viral data in this field, it is recommended to change direction or check the latest original viral articles"
HTML Content Consistency: The article content in HTML must be completely consistent with the content displayed in the conversation
Data Description: Must indicate the database update date and query date when outputting

资源索引

Resource Index

脚本: 见 scripts/fetch_articles.py（用途: 获取原创爆款文章数据，支持分类查询和日期查询）
脚本: 见 scripts/generate_hot_html.py（用途: 从临时JSON文件读取数据，生成公众号风格HTML页面）
参考: 见 references/category_mapping.md（用途: 分类映射表，包含22个标准分类和泛化关键词）

Script: See scripts/fetch_articles.py (Purpose: Obtain original viral article data, support category query and date query)
Script: See scripts/generate_hot_html.py (Purpose: Read data from temporary JSON file, generate official WeChat-style HTML page)
Reference: See references/category_mapping.md (Purpose: Category mapping table, including 22 standard categories and generalized keywords)

使用示例

Usage Examples

示例1：直接查询最新原创爆文

用户输入：最新原创爆文
智能体识别：直接查询
智能体调用：
python scripts/fetch_articles.py --type "总排名" --limit 20

输出结果：
数据说明：本次查询的数据更新时间为 2026年05月08日（数据每日18:30同步），查询的是 2026年05月07日 的原创爆文数据，与实时数据存在差异。

📊 原创爆文推荐
最近30天的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [一个坏土豆](链接) | [这次报应来的太快！日本刚刚遭遇迎头暴击](链接) | 10w+ |
...

共获取到50条爆款原创热门文章,当前展示前20条。

📬 订阅服务
是否需要订阅具体赛道的账号表现？我们支持：
人文资讯、知识百科、健康养生、时尚潮流、美食餐饮、乐活生活、旅游出行、搞笑幽默、情感心理、体育娱乐、美容美体、文摘精选、民生资讯、财富理财、科技数码、创投商业、汽车交通、房产楼市、职场发展、教育考试、学术研究、企业品牌、总排名
订阅推送 — 每天19点30分推送最新公众号原创文章
暂不需要 — 仅本次查询

示例2：分类查询

用户输入：科技类原创爆款
智能体识别：分类查询
智能体匹配分类："科技数码"
智能体调用：
python scripts/fetch_articles.py --type "科技数码" --limit 20

输出结果：
数据说明：本次查询的数据更新时间为 2026年05月08日（数据每日18:30同步），查询的是 2026年05月07日 的原创爆文数据，与实时数据存在差异。

📊 原创爆文推荐
最近30天的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [作者A](链接) | [科技文章标题1](链接) | 10w+ |
...

示例3：日期查询

用户输入：5月3日的原创爆款
智能体识别：日期查询
智能体调用：
python scripts/fetch_articles.py --type "总排名" --start_date "2026-05-03" --limit 20

输出结果：
数据说明：查询的是 2026年05月03日 的原创爆文数据，与实时数据存在差异。

📊 原创爆文推荐
2026年05月03日当天的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [作者A](链接) | [文章标题1](链接) | 10w+ |
...

示例4：分类+日期查询

用户输入：5月3日科技类的原创爆款
智能体识别：分类+日期查询
智能体匹配分类："科技数码"
智能体调用：
python scripts/fetch_articles.py --type "科技数码" --start_date "2026-05-03" --limit 20

输出结果：
数据说明：查询的是 2026年05月03日 的原创爆文数据，与实时数据存在差异。

📊 原创爆文推荐
2026年05月03日当天的原创爆款文章

| 序号 | 作者 | 标题 | 阅读数 |
|------|------|------|--------|
| 1 | [作者A](链接) | [科技文章标题1](链接) | 10w+ |
...

Example 1: Directly Query Latest Original Viral Articles

User Input: Latest original viral articles
Agent Recognition: Direct query
Agent Call:
python scripts/fetch_articles.py --type "overall ranking" --limit 20

Output Result:
Data Description: The data updated in this query is from May 8, 2026 (data synchronized daily at 18:30), and the query is for original viral article data from May 7, 2026, which differs from real-time data.

📊 Original Viral Article Recommendations
Original viral articles from the past 30 days

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [A Bad Potato](link) | [The retribution came too fast this time! Japan just suffered a head-on blow](link) | 100k+ |
...

A total of 50 viral original popular articles were obtained, and the first 20 are currently displayed.

📬 Subscription Service
Would you like to subscribe to account performance in specific tracks? We support:
Humanities Information, Knowledge Encyclopedia, Health Preservation, Fashion Trends, Food and Catering, Lifestyle, Travel, Funny and Humorous, Emotion and Psychology, Sports and Entertainment, Beauty and Body Care, Selected Abstracts, People's Livelihood Information, Wealth Management, Technology and Digital, Venture Capital and Business, Automobile and Transportation, Real Estate, Career Development, Education and Examinations, Academic Research, Enterprise Brand, Overall Ranking
Subscribe to Push — Push the latest official WeChat original articles daily at 19:30
Not Needed for Now — Only this query

Example 2: Category Query

User Input: Original viral articles in technology category
Agent Recognition: Category query
Agent Matched Category: "technology and digital"
Agent Call:
python scripts/fetch_articles.py --type "technology and digital" --limit 20

Output Result:
Data Description: The data updated in this query is from May 8, 2026 (data synchronized daily at 18:30), and the query is for original viral article data from May 7, 2026, which differs from real-time data.

📊 Original Viral Article Recommendations
Original viral articles from the past 30 days

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Author A](link) | [Technology Article Title 1](link) | 100k+ |
...

Example 3: Date Query

User Input: Original viral articles on May 3rd
Agent Recognition: Date query
Agent Call:
python scripts/fetch_articles.py --type "overall ranking" --start_date "2026-05-03" --limit 20

Output Result:
Data Description: The query is for original viral article data from May 3, 2026, which differs from real-time data.

📊 Original Viral Article Recommendations
Original viral articles on May 3, 2026

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Author A](link) | [Article Title 1](link) | 100k+ |
...

Example 4: Category + Date Query

User Input: Original viral articles in technology category on May 3rd
Agent Recognition: Category + Date query
Agent Matched Category: "technology and digital"
Agent Call:
python scripts/fetch_articles.py --type "technology and digital" --start_date "2026-05-03" --limit 20

Output Result:
Data Description: The query is for original viral article data from May 3, 2026, which differs from real-time data.

📊 Original Viral Article Recommendations
Original viral articles on May 3, 2026

| Serial No. | Author | Title | Read Count |
|------|------|------|--------|
| 1 | [Author A](link) | [Technology Article Title 1](link) | 100k+ |
...