🐒 What are everyone doing with Wukong?

• Some salespeople use it to compress 3 days of work into 20 minutes;
• Some financial personnel use it to reset the manual proofreading of data reports to zero;
• Some R&D personnel use this sentence to internationalize the entire front-end project;
• Some people also turn it into a bedtime story avatar and a “pep-talking reader”. 用法：打开钉钉文档后，Ctrl/Cmd + F 搜"谈参 / 周报 / 合同 / 代码"——直接跳到你岗位的卡片。 Usage: After opening the DingTalk document, Ctrl/Cmd + F searches for “Talk/Weekly Report/Contract/Code” - jump directly to the card for your position.

🗂 Table of contents quick overview

🎯 01 · Sales interview · Before customer visit

The most frequent scene for salespeople - the “last ten minutes” before going out.

01 · Get one page of customer intelligence in 10 minutes

🎯 场景：客户拜访前，快速产出一份能直接打印带进会议室的情报单 😩 痛点：拜访前一晚通宵写谈参，翻官网、搜新闻、扒财报，搞到半夜 🪄 一句话提示词：帮我写 [客户名] 的拜访谈参，按 30 秒概览 + 人物画像 + 近期动态 + 风险预案 + 话术预案的结构输出，要求一张 A4 能装下 🎯 Scenario: Before a customer visit, quickly produce an information sheet that can be printed directly and brought into the conference room 😩 Pain point: The night before the visit, I stayed up all night writing discussion notes, browsing the official website, searching for news, and picking up financial reports until midnight 🪄 One sentence prompt: 帮我写 [客户名] 的拜访谈参，按 30 秒概览 + 人物画像 + 近期动态 + 风险预案 + 话术预案的结构输出，要求一张 A4 能装下

✨ Effect: An information card with character portraits and speech suggestions will be produced in 3 minutes.

02 · Customer Intelligence Assistant

🎯 场景：把互联网公开信息 + 过往拜访记录 + 听记资料 整合成一张情报卡 😩 痛点：信息散落在五六个地方，每次拜访前要手动拼，耗时且容易漏 🪄 一句话提示词：基于这个客户名，从公开资料、我的拜访记录和历史听记里汇总一份客户情报助手报告，聚焦近期动态、关键人物和潜在需求 🎯 Scenario: Integrate public information on the Internet + past visit records + audio-visual data into an intelligence card 😩 Pain point: Information is scattered in five or six places, and it has to be manually assembled before each visit, which is time-consuming and easy to miss 🪄 One-sentence prompt: 基于这个客户名，从公开资料、我的拜访记录和历史听记里汇总一份客户情报助手报告，聚焦近期动态、关键人物和潜在需求

✨ Effect: Generate a multi-source intelligence card in 3 minutes, and use it regularly before each visit

03 · Key customer inventory and opportunity identification 🔥🔥

🎯 场景：按区域/行业批量盘点负责地界内的所有客户，识别售卖机会和上下级关系 😩 痛点：每个客户都要单独查收入利润、中标信息、组织架构，盘点一次要耗掉一整周 🪄 一句话提示词：帮我盘点 [省份/行业] 的重点客户，按行业分类，列出每家近年营收利润、中标记录、上下级单位关系，并分析可能的合作机会 🎯 Scenario: Take a batch inventory of all customers within the responsible area by region/industry, identify sales opportunities and superior-subordinate relationships 😩 Pain Points: Each customer must separately check the revenue and profit, bid winning information, and organizational structure. One inventory takes a whole week 🪄 One sentence prompt: 帮我盘点 [省份/行业] 的重点客户，按行业分类，列出每家近年营收利润、中标记录、上下级单位关系，并分析可能的合作机会

✨ Effect: One inventory covers dozens to hundreds of customers, and automatically outputs opportunity point evaluations

04 · Urban Industry Analysis (New Market Development)

🎯 场景：进入新城市前，先摸清当地主导产业和重点企业 😩 痛点：换个城市等于从零开始，一家家查企业太费时 🪄 一句话提示词：帮我分析 [城市名] 的主导产业分布和 Top 企业清单，按产业集群整理，标注各企业规模和代表产品 🎯 Scenario: Before entering a new city, first find out about the local leading industries and key enterprises 😩 Pain point: Changing a city means starting from scratch, and checking companies one by one is too time-consuming 🪄 One sentence prompt: 帮我分析 [城市名] 的主导产业分布和 Top 企业清单，按产业集群整理，标注各企业规模和代表产品

✨ Effect: Create a city industry portrait in one sentence, and sales staff can use it to “open the city with one click”

05 · Quotation generation with one click 🔥

🎯 场景：客户要报价，快速出一份专业报价方案 😩 痛点：手搓报价像算盘时代，每次都要翻模板、改价格、调排版 🪄 一句话提示词：根据客户 [客户名] 的需求 [需求描述]，按我的报价模板生成专业报价方案，包含分项明细、总价、交付周期和付款条件 🎯 Scenario: The customer wants a quotation, and a professional quotation plan is quickly produced 😩 Pain point: The hand-made quotation is like the abacus era, where you have to turn over the template, change the price, and adjust the layout every time 🪄 One sentence prompt: 根据客户 [客户名] 的需求 [需求描述]，按我的报价模板生成专业报价方案，包含分项明细、总价、交付周期和付款条件

✨ Results: It took half an hour to rub hands, but now a standard format quotation is produced in a few seconds.

06 · Visit location intelligence scan

🎯 场景：下午两点要去见客户，先对周边路况、周边生态、客户办公楼特征有个底 😩 痛点：上车才开始临时搜，紧张且不专业 🪄 一句话提示词：扫描一下 [客户地址] 周边的办公环境、附近的餐厅茶室、到访建议的交通方式和时长 🎯 Scenario: I’m going to see a client at 2pm. I need to have a basic understanding of the surrounding road conditions, surrounding ecology, and the characteristics of the client’s office building. 😩 Pain Point: I started a temporary search just after I got in the car, nervous and unprofessional 🪄 One sentence prompt: 扫描一下 [客户地址] 周边的办公环境、附近的餐厅茶室、到访建议的交通方式和时长

✨ Effect: Get complete location information 10 minutes before the visit, and even have options for lunch

💼 02 · Sales interview · During and after communication

After meeting customers, how to quickly accumulate value?

07 · Listening → Interactive Demo 🔥🔥🔥

🎯 场景：和客户边聊边录音，结束后直接把听记转成可点可交互的原型 Demo 😩 痛点：客户说"我想要个这样的东西"，回来要等研发排期一周才能给 Demo 🪄 一句话提示词：把这个听记链接里的客户需求提炼出来，按功能模块生成一个可交互的轻应用 Demo，突出客户强调的 3 个核心场景 🎯 Scenario: Record while chatting with the customer, and after the end, directly convert the recording into a clickable and interactive prototype Demo 😩 Pain point: The customer said “I want something like this”, and they have to wait for a week for the development schedule before they can give the demo 🪄 One sentence prompt: 把这个听记链接里的客户需求提炼出来，按功能模块生成一个可交互的轻应用 Demo，突出客户强调的 3 个核心场景

✨ Effect: Demo in 1 minute, second communication on the spot, full customer satisfaction

08 · Fully automatic pre-sales solution (3 days → 20 minutes) 🔥🔥

🎯 场景：接到客户 RFP，一天内要交一份完整方案 😩 痛点：以前收集行业信息 + 竞品对比 + 写方案要耗 3 天 🪄 一句话提示词：基于这份客户需求 [贴需求]，按"现状分析 / 解决方案 / 实施路径 / 价值量化 / 风险应对"五段式，生成完整售前方案，字数 3000+✨ 效果：3 天工作压缩到 20 分钟，用它连续拿下多单 🎯 Scenario: Receive a customer RFP and have to submit a complete plan within one day 😩 Pain point: It used to take 3 days to collect industry information + compare competing products + write a plan 🪄 One sentence prompt: 基于这份客户需求 [贴需求]，按"现状分析 / 解决方案 / 实施路径 / 价值量化 / 风险应对"五段式，生成完整售前方案，字数 3000+✨ Effect: 3 days of work are compressed to 20 minutes, use it to win multiple orders continuously

09 · Automatic creation of customer files

🎯 场景：每次和客户沟通完，自动把听记关键信息沉淀进客户档案 😩 痛点：沟通多了完全记不住谁说过啥，下次见面还要重新翻 🪄 一句话提示词：把这个听记链接里的客户 [客户名] 信息抽取到客户档案中，包括对方关心的议题、顾虑、决策链和下一步动作 🎯 Scenario: After each communication with the customer, the key information of the audio recording is automatically stored in the customer file 😩 Pain point: After communicating too much, I can’t remember who said what, and I have to read it again next time I meet 🪄 One sentence prompt: 把这个听记链接里的客户 [客户名] 信息抽取到客户档案中，包括对方关心的议题、顾虑、决策链和下一步动作

✨ Effect: Files continue to accumulate automatically. You can review them in 30 seconds before your next visit.

10 · Chat screenshot → Structured requirements

🎯 场景：客户只在微信里沟通，没法用钉钉听记，只有一堆聊天截图 😩 痛点：截图太多，手动摘要既慢又容易遗漏要点 🪄 一句话提示词：识别这几张聊天截图里的对话内容，整理出客户的核心诉求、痛点、异议和下一步动作，输出成结构化的需求文档 🎯 Scenario: Customers only communicate in WeChat and cannot use DingTalk to take notes. There are only a bunch of chat screenshots 😩 Pain point: There are too many screenshots, and manual summarization is slow and easy to miss key points 🪄 One-sentence prompt: 识别这几张聊天截图里的对话内容，整理出客户的核心诉求、痛点、异议和下一步动作，输出成结构化的需求文档

✨ Effect: dozens of screenshots turned into a clear demand list in 1 minute

11 · Partner/Customer “Kwakwaka”

🎯 场景：写合作总结或给客户反馈时，需要一段"商业互吹"文案 😩 痛点：写得太肉麻像假话，写得太平淡又没感情 🪄 一句话提示词：根据我和 [伙伴/客户名] 的合作记录和他们的亮点行为，生成一段真诚有温度的"优势总结"，用于公开致谢/年终总结 🎯 Scenario: When writing a summary of cooperation or giving feedback to customers, a piece of “business bragging” copywriting is needed 😩 Pain Points: The writing is too cheesy and lies, the writing is too bland and emotionless 🪄 One sentence prompt: 根据我和 [伙伴/客户名] 的合作记录和他们的亮点行为，生成一段真诚有温度的"优势总结"，用于公开致谢/年终总结

✨ Effect: Upgraded from business cliché to “the kind of praise that makes people want to collect it”

📊 03 · Data and Reports

12 · FBI report → DingTalk Excel automatic transfer 🔥🔥

🎯 场景：每天从业务报表系统把数据同步到钉钉 Excel，供团队查看 😩 痛点：人工下载 → 清洗 → 粘贴 → 格式化，每天 30 分钟起，还容易抄错 🪄 一句话提示词：每天早上 9 点，把 [报表系统] 的昨日关键指标数据拉取并自动写入钉钉 Excel [表链接]，按部门分 sheet，带日环比标注 🎯 Scenario: Synchronize data from the business reporting system to DingTalk Excel every day for the team to view 😩 Pain points: Manual downloading → cleaning → pasting → formatting, starting from 30 minutes a day, and it is easy to copy mistakes 🪄 One sentence prompt: 每天早上 9 点，把 [报表系统] 的昨日关键指标数据拉取并自动写入钉钉 Excel [表链接]，按部门分 sheet，带日环比标注

✨ Effect: Completely unattended, efficiency soars

13 · Market analysis output in minutes

🎯 场景：对比几家竞品/市场细分，做一份带洞察的市场分析 😩 痛点：以前查资料做分析要花好几天，对比维度还不齐 🪄 一句话提示词：帮我做 [行业/赛道] 的市场分析报告，对比 [A、B、C] 三家公司的产品定位、用户规模、商业化路径，最后给出关键洞察 🎯 Scenario: Compare several competing products/market segments and do a market analysis with insights 😩 Pain point: In the past, it took several days to search for information and do analysis, and the comparison dimensions were still uneven 🪄 One sentence prompt: 帮我做 [行业/赛道] 的市场分析报告，对比 [A、B、C] 三家公司的产品定位、用户规模、商业化路径，最后给出关键洞察

✨ Effect: A multi-dimensional comparison document will be produced in a few minutes. You can ask Wukong to let it self-correct and iterate.

14 · AI intelligent interpretation of table data

🎯 场景：表格数据太多看不过来，要快速拿到"现在该做什么"的建议 😩 痛点：打开表格两眼一抹黑，得人工挑出异常项 🪄 一句话提示词：读一下这张 AI 表格 [表链接] 的最新数据，找出 3 个值得我关注的异常点，并给出下一步行动建议 🎯 Scenario: There is too much data in the table to see, and you need to quickly get suggestions on “what to do now” 😩 Pain point: When you open the table, your eyes go blank, and you have to manually pick out the abnormal items 🪄 One sentence prompt: 读一下这张 AI 表格 [表链接] 的最新数据，找出 3 个值得我关注的异常点，并给出下一步行动建议

✨ Effect: Upgraded from “looking at data” to “pushed conclusion”

15 · Monthly perspective on cost fluctuations

🎯 场景：本月运维成本涨了，要快速定位钱花到哪了 😩 痛点：传统排查耗时半天，维度单一，隐蔽波动容易漏 🪄 一句话提示词：分析 [项目] 近 3 个月的成本明细，按资源类型/部门/时间维度拆解，识别异常波动并给出优化建议 🎯 Scenario: Operation and maintenance costs have increased this month, and we need to quickly locate where the money has been spent. 😩 Pain Point: Traditional troubleshooting takes half a day, has a single dimension, and hidden fluctuations are easy to leak 🪄 One-sentence prompt: 分析 [项目] 近 3 个月的成本明细，按资源类型/部门/时间维度拆解，识别异常波动并给出优化建议

✨ Effect: Switch from “blind man and elephant” to “one-click perspective”, and provide conclusions supported by data directly to the boss

16 · Performance list automatically generated

🎯 场景：月底/季末要出一份团队排名榜单推送到群里 😩 痛点：手工统计打榜耗时且容易有争议 🪄 一句话提示词：基于 [数据源] 本月数据，生成团队 Top10 榜单，按个人/小组两个维度排名，带可视化条形图 🎯 Scenario: At the end of the month/season, a team ranking list will be published and pushed to the group 😩 Pain point: Manual statistics are time-consuming and prone to disputes 🪄 One sentence prompt: 基于 [数据源] 本月数据，生成团队 Top10 榜单，按个人/小组两个维度排名，带可视化条形图

✨ Effect: A visualized list will appear in a few seconds and posted directly to the group

📝 04 · Documents, PPT and diagrams

17 · One-click generation of screencast PPT

🎯 场景：临时接到周会/月会汇报任务，10 分钟要出一份能投屏的 PPT 😩 痛点：排版花 1 小时，讲的内容只有 5 分钟 🪄 一句话提示词：把我这份周报内容做成投屏 PPT，风格简洁正式，每页不超过 3 个要点，封面用深色大标题 🎯 Scenario: Temporarily received a weekly/monthly meeting reporting task, and a PPT that can be projected on the screen needs to be produced in 10 minutes 😩 Pain point: It takes 1 hour to type and the content is only 5 minutes 🪄 One sentence prompt: 把我这份周报内容做成投屏 PPT，风格简洁正式，每页不超过 3 个要点，封面用深色大标题

✨ Effect: Even temporary meetings can be held calmly

18 · HTML version of exquisite PPT

🎯 场景：给客户做方案汇报，要视觉质感，不要模板化廉价感 😩 痛点：AI 生成的 PPT 经常"乍一看炫酷，仔细看很丑"，缺乏品牌元素 🪄 一句话提示词：基于 [主题] 做一份方案 PPT，输出为 HTML 格式，风格科技感 + 叙事感，参考顶级咨询/发布会的结构，封面要有视觉冲击 🎯 Scenario: Make a project report to a client, with a visual quality, not a templated and cheap feeling 😩 Pain point: AI-generated PPT is often “cool at first glance, but ugly upon closer inspection” and lacks brand elements 🪄 One sentence prompt: 基于 [主题] 做一份方案 PPT，输出为 HTML 格式，风格科技感 + 叙事感，参考顶级咨询/发布会的结构，封面要有视觉冲击

✨ Effect: The visual quality is aligned with the level of a large company’s press conference

19 · Screenshot → PPT page

🎯 场景：收集到一堆 PDF 片段、网页截图、产品图素材，想融合进自己的方案 PPT 😩 痛点：材料风格不统一，手搓排版太慢；时间紧只能直接贴张截图凑合，方案显得很"拼凑" 🪄 一句话提示词：把我上传的这些截图/素材，融合成一页结构清晰的方案 PPT：统一配色和字体风格，按"背景—方案—亮点"布局，关键信息用图标和色块突出，整体要干净专业、不要拼贴感 🎯 Scenario: I have collected a bunch of PDF fragments, web page screenshots, and product image materials, and want to integrate them into my own plan PPT 😩 Pain points: The material style is not uniform, and hand-type typesetting is too slow; time is tight and I can only post screenshots directly, and the plan looks very “cobbled together” 🪄 One sentence prompt: 把我上传的这些截图/素材，融合成一页结构清晰的方案 PPT：统一配色和字体风格，按"背景—方案—亮点"布局，关键信息用图标和色块突出，整体要干净专业、不要拼贴感

✨ Effect: Scattered materials are merged into a unified style plan page with one click

20 · Markdown / HTML to PDF

🎯 Scenario: Long documents generated by AI need to be shared or archived and need to be exported to high-quality PDF 😩 Pain Points: Directly exported garbled characters and inconsistent fonts 🪄 一句话提示词：把这份 Markdown 文档转成 PDF，A4 纸张，中文字体统一，封面页独立，页眉页脚带页码 🪄 One sentence prompt: 把这份 Markdown 文档转成 PDF，A4 纸张，中文字体统一，封面页独立，页眉页脚带页码

✨ Effect: No need to worry about format deformation when sharing files

21 · Hand-drawn style architecture diagram 🔥

🎯 场景：画系统架构图或业务流程图，想要手绘风格更有辨识度 😩 痛点：手动画拖框连线对齐调色耗时 2 小时，PPT 自带图示千篇一律 🪄 一句话提示词：帮我画一张 [业务] 的架构图，手绘风格，模块之间用箭头标注数据流向，核心组件用醒目颜色突出 🎯 Scenario: Drawing system architecture diagram or business flow chart, want the hand-drawn style to be more recognizable 😩 Pain point: It takes 2 hours to manually drag the frame to connect, align and color, the PPT comes with the same icons 🪄 One sentence prompt: 帮我画一张 [业务] 的架构图，手绘风格，模块之间用箭头标注数据流向，核心组件用醒目颜色突出

✨ Effectiveness: 2 hours → 2 minutes, highly readable

22 · Business process diagram visualization

🎯 场景：给客户讲业务流程，用流程图比纯文字清晰十倍 😩 痛点：纯文字介绍客户听得云里雾里 🪄 一句话提示词：根据我这段业务描述，画一张清晰的流程图，关键决策节点高亮，分支用不同颜色 🎯 Scenario: Explain the business process to customers, using flowcharts is ten times clearer than plain text 😩 Pain point: Customers are confused by the pure text introduction 🪄 One sentence prompt: 根据我这段业务描述，画一张清晰的流程图，关键决策节点高亮，分支用不同颜色

✨ Effect: Customers can understand it at a glance and feel great

23 · Picture → Editable Document

🎯 场景：手头只有图片形式的资料（拍照、扫描、截图），想转成可编辑文档 😩 痛点：OCR 识别后格式全乱，表格变成一锅粥 🪄 一句话提示词：把这张图里的内容还原成 Word 文档，保留原有的标题层级、表格结构和排版 🎯 Scenario: I only have information in the form of pictures (photographs, scans, screenshots), and I want to convert them into editable documents 😩 Pain point: After OCR recognition, the format is completely messed up, and the table becomes a pot of porridge 🪄 One sentence prompt: 把这张图里的内容还原成 Word 文档，保留原有的标题层级、表格结构和排版

✨ Effect: The picture turns back into a structured document in a few seconds

🎤 05 · Meetings and Auditions

24 · Structured output of meeting minutes

🎯 场景：1 小时部门会结束，拿到一份又长又乱的听记 😩 痛点：自己整理纪要需 30 分钟，还容易漏掉待办 🪄 一句话提示词：把这个听记链接转成会议纪要，分议题 → 决策 → 待办 → 风险四个板块，待办要标出负责人和截止时间 🎯 Scenario: The 1-hour department meeting ends, and I get a long and messy audio record 😩 Pain point: It takes 30 minutes to organize the minutes by myself, and it is easy to miss the to-dos 🪄 One sentence prompt: 把这个听记链接转成会议纪要，分议题 → 决策 → 待办 → 风险四个板块，待办要标出负责人和截止时间

✨ Effect: A structured note that can be forwarded directly is produced in 5 minutes

25 · Accurate excerpts from verbatim manuscripts

🎯 场景：2 小时的客户沟通或大佬分享，只想摘取其中关键人的原话用于学习 😩 痛点：整场摘要，拿不到指定发言人的逐字稿 🪄 一句话提示词：从这个听记里提取 [某发言人] 的所有发言，保留逐字稿，按时间顺序排列 🎯 Scenario: 2 hours of customer communication or big boss sharing, I just want to extract the original words of the key people for learning 😩 Pain point: The entire summary, the verbatim draft of the designated spokesperson cannot be obtained 🪄 One sentence prompt: 从这个听记里提取 [某发言人] 的所有发言，保留逐字稿，按时间顺序排列

✨ Effect: The boss’s golden words are not missed, making it easy to learn over and over again.

26 · Government official document style minutes 🔥

🎯 场景：和政企客户开会后，要出一份符合公文格式的会议纪要 😩 痛点：普通纪要太随意，政府文件要特定格式和措辞 🪄 一句话提示词：把这个听记按政府公文纪要格式整理：标题、时间、地点、出席人员、议题、决议事项、后续工作，措辞正式 🎯 Scenario: After a meeting with government and enterprise clients, a meeting minute must be produced that conforms to the official document format 😩 Pain point: Ordinary minutes are too casual, and government documents require specific format and wording 🪄 One sentence prompt: 把这个听记按政府公文纪要格式整理：标题、时间、地点、出席人员、议题、决议事项、后续工作，措辞正式

✨ Effect: You can directly follow the official document circulation process

27 · Smart booking of meeting rooms 🔥🔥

🎯 场景：临时要约会议，查闲忙、订会议室、发通知 😩 痛点：多步操作要在三个系统之间切换 🪄 一句话提示词：明天下午 2-3 点帮我订一间能容纳 8 人的会议室，参会人是 [名单]，生成日程并发送通知 🎯 Scenario: Make a temporary meeting appointment, check availability, reserve a conference room, and send notifications 😩 Pain point: Multi-step operation requires switching between three systems 🪄 One-sentence word prompt: 明天下午 2-3 点帮我订一间能容纳 8 人的会议室，参会人是 [名单]，生成日程并发送通知

✨ Effect: Complete the multi-system operation that originally took 3 minutes in one sentence

28 · Intelligent Meeting Assistant

🎯 场景：多人跨部门的会议协调，要同时满足所有人档期 😩 痛点：一个个问档期、来回协调，沟通成本高 🪄 一句话提示词：帮我协调 [多人] 下周找一个 1 小时的共同空档开会，主题是 [主题]，自动发起日程邀请 🎯 Scenario: Multi-person, cross-department meeting coordination must meet everyone’s schedule at the same time 😩 Pain point: Asking about schedules one by one, coordination back and forth, high communication cost 🪄 One sentence prompt: 帮我协调 [多人] 下周找一个 1 小时的共同空档开会，主题是 [主题]，自动发起日程邀请

✨ Effect: End-to-end replacement of “Conference Secretary”

📅 06 · Weekly · Daily · To-do

29 · Automatic weekly report

🎯 场景：周五下午要交周报，从一周的聊天记录和文档里自动汇总 😩 痛点：回忆这周做了啥要半小时，写周报又得半小时 🪄 一句话提示词：基于我本周的群聊记录、听记和产出文档，自动生成周报，分"本周完成 / 下周计划 / 风险与求助"三个板块 🎯 Scenario: The weekly report is due on Friday afternoon, automatically summarized from the chat records and documents of the week 😩 Pain point: It takes half an hour to recall what you did this week, and another half hour to write the weekly report 🪄 One sentence prompt: 基于我本周的群聊记录、听记和产出文档，自动生成周报，分"本周完成 / 下周计划 / 风险与求助"三个板块

✨Effectiveness: Submission will be completed in 5 minutes on Friday afternoon

30 · Daily work briefing 🔥

🎯 场景：每天下班前，把当天做过的事自动存档成记忆 😩 痛点：年终总结时根本记不起来这一年干了啥 🪄 一句话提示词：每天 17:30 自动生成今日工作简报，从日程、听记、群聊中提取关键事件，存到我的记忆档案里 🎯 Scenario: Before leaving get off work every day, automatically archive what you did that day into memory 😩 Pain point: You can’t remember what you did this year during the year-end summary 🪄 One sentence prompt: 每天 17:30 自动生成今日工作简报，从日程、听记、群聊中提取关键事件，存到我的记忆档案里

✨ Effect: Automated personal work files, continuously accumulated every day

31 · To-do automatic organization

🎯 场景：从日程、群聊、听记中自动扒出待办事项 😩 痛点：散落各处的待办，手动整理容易漏 🪄 一句话提示词：扫描我昨天的日程、群聊@我的消息、以及听记，生成一份待办清单，按紧急程度排序 🎯 Scenario: Automatically extract to-do items from schedules, group chats, and listening notes 😩 Pain point: To-do items are scattered everywhere, and it is easy to miss them when sorted manually 🪄 One-sentence word prompt: 扫描我昨天的日程、群聊@我的消息、以及听记，生成一份待办清单，按紧急程度排序

✨ Effect: Open DingTalk in the morning and see what you need to do today

32 · Scheduling & reminding the robot sooner or later

🎯 场景：轮值主持人/值班人员，每周按群成员轮换，每天定时提醒 😩 痛点：排班表要自己维护，忘记发通知是常事 🪄 一句话提示词：帮我在 [群名] 里设置值班轮换，每周一位群成员，每天早上 8:30 自动在群里 @ 本周值班人提醒拉早会 🎯 Scenario: Rotating host/duty staff, rotating by group members every week, regular reminder every day 😩 Pain point: The schedule needs to be maintained by yourself, forgetting to send notifications is common 🪄 One sentence prompt: 帮我在 [群名] 里设置值班轮换，每周一位群成员，每天早上 8:30 自动在群里 @ 本周值班人提醒拉早会

✨ Effect: Shift schedule + daily reminder + automatic request for leave in case of conflict, one-stop hosting

📰 07 · Intelligence and Content Operations

33 · Regular push of industry information

🎯 场景：关心某个行业的每日动态，但不想自己刷新闻 😩 痛点：微信公众号刷着刷着就半小时过去了 🪄 一句话提示词：每天早上 8 点，帮我抓取 [行业] 最新动态，按"政策 / 技术 / 资本 / 竞品"四类整理，推送到我的单聊 🎯 Scenario: Care about the daily trends of a certain industry, but don’t want to read the news yourself 😩 Pain point: Half an hour passed after scrolling through the WeChat public account 🪄 One sentence prompt: 每天早上 8 点，帮我抓取 [行业] 最新动态，按"政策 / 技术 / 资本 / 竞品"四类整理，推送到我的单聊

✨ Effect: Complete a day of industry news in 3 minutes on the commute

34 · Capture and summary of public account articles

🎯 场景：想追某个公众号的所有文章，拿到要点但不想逐篇看 😩 痛点：公众号反爬严，通用工具抓不到 🪄 一句话提示词：追踪 [公众号名] 的最新 10 篇文章，每篇提炼核心观点 + 亮点金句，按时间倒序整理 🎯 Scenario: I want to follow all the articles of a certain official account and get the key points but don’t want to read them one by one. 😩 Pain point: The official account is blocked and cannot be caught by general tools 🪄 One sentence prompt: 追踪 [公众号名] 的最新 10 篇文章，每篇提炼核心观点 + 亮点金句，按时间倒序整理

✨ Effect: Get the essence of one size at once

35 · Group chat information extraction🔥

🎯 场景：群太多看不过来，想定时拿到每个群的重点消息摘要 😩 痛点：日活 10+ 群每天爆上千条，不看怕错过、看完又耗时 🪄 一句话提示词：每天 17:30 扫描我关注的这几个群 [群名]，提取今日重点消息（决策、求助、关键信息），按群分类推送给我 🎯 Scenario: There are too many groups to watch, and I want to get a summary of the key news of each group regularly 😩 Pain point: The group with 10+ daily active messages generates thousands of messages every day, and I am afraid of missing out if I don’t read it, and it takes time to read it 🪄 One sentence prompt: 每天 17:30 扫描我关注的这几个群 [群名]，提取今日重点消息（决策、求助、关键信息），按群分类推送给我

✨ Effect: Let AI “watch the group” for you, and no key messages will be missed

36 · Xiaohongshu/blogger style migration

🎯 场景：喜欢某位博主的写作风格，想让自己的文章也有那个味儿 😩 痛点：模仿半天还是"自己的味道" 🪄 一句话提示词：分析 [博主名] 过去 10 篇爆款内容的写作套路和用词风格，用这套风格帮我改写这段文字 🎯 Scenario: I like the writing style of a certain blogger and want my articles to have that flavor 😩 Pain point: After a long time of imitating, I still have “my own taste” 🪄 One sentence prompt: 分析 [博主名] 过去 10 篇爆款内容的写作套路和用词风格，用这套风格帮我改写这段文字

✨ Effect: The popular writing paradigm works for you

37 · AI Daily · Knowledge Base Continuous Archiving

🎯 场景：每天看到的好内容（URL、截图、笔记）分散在各处，想自动归档成个人知识库 😩 痛点：收藏了也不看，一搜还找不到 🪄 一句话提示词：把我今天收藏/转发/评论过的链接和文档，自动归档到我的知识库，按主题分类并生成摘要 🎯 Scenario: The good content (URLs, screenshots, notes) I see every day is scattered everywhere, and I want to automatically archive it into a personal knowledge base 😩 Pain point: I don’t read it even after collecting it, and I can’t find it even after searching 🪄 One sentence prompt: 把我今天收藏/转发/评论过的链接和文档，自动归档到我的知识库，按主题分类并生成摘要

✨ Effect: Searching your own brain is more accurate than searching your browser favorites

⚙️ 08 · R&D and Technology

38 · AI workflow visual orchestration 🔥🔥🔥

🎯 场景：把一个多步骤自动化任务可视化编排出来，像画流程图一样把 AI 串起来 😩 痛点：复杂任务靠一个长 prompt 搞定，调试和复用都难 🪄 一句话提示词：帮我把 [业务流程] 拆成可视化的 AI 工作流节点，每个节点明确输入、动作、输出，支持条件分支和循环 🎯 Scenario: Visually arrange a multi-step automation task and string together AI like a flowchart 😩 Pain point: Complex tasks are completed with a long prompt, making debugging and reuse difficult 🪄 One-sentence prompt: 帮我把 [业务流程] 拆成可视化的 AI 工作流节点，每个节点明确输入、动作、输出，支持条件分支和循环

✨ Effect: Change the AI workflow from “black box with long prompt” to “visual drag and drop”

39 · Code batch transformation

🎯 场景：整个前端项目要做多语言适配，或统一代码规范改造 😩 痛点：几十个文件手改，改完还得自测，要人命 🪄 一句话提示词：把这个前端仓库 [仓库名] 的中文硬编码全部提取成国际化 key，生成语言包，并在代码里替换为 i18n 调用 🎯 Scenario: The entire front-end project needs multi-language adaptation or unified code standard transformation 😩 Pain point: Dozens of files are manually modified, and self-testing is required after the modification, which is life-threatening 🪄 One-sentence prompt: 把这个前端仓库 [仓库名] 的中文硬编码全部提取成国际化 key，生成语言包，并在代码里替换为 i18n 调用

✨ Effect: The original physical work of a week can be completed in 1 hour

40 · Log troubleshooting/error reporting

🎯 场景：线上出 bug，日志一堆看不出问题根因 😩 痛点：自己 grep 半天定位不出来，还得拉人支援 🪄 一句话提示词：这是 [时间段] 的异常日志 [贴日志]，帮我定位报错根因，给出排查方向和可能的修复方案 🎯 Scenario: There is a bug online, and there are a lot of logs and the root cause of the problem cannot be found. 😩 Pain point: I can’t locate it with grep for a long time, and I have to recruit support 🪄 One sentence prompt: 这是 [时间段] 的异常日志 [贴日志]，帮我定位报错根因，给出排查方向和可能的修复方案

✨ Effect: From “finding a needle in a haystack” to “AI guiding the way”, the troubleshooting efficiency is doubled

41 · Fully automated R&D process

🎯 场景：从需求沟通 → 代码开发 → 评审 → 部署，全流程串起来 😩 痛点：每个环节都在不同系统里，上下文割裂 🪄 一句话提示词：根据这份需求文档，帮我在代码仓里建分支、生成初版代码、提交评审并触发部署流水线 🎯 Scenario: From requirement communication → code development → review → deployment, the whole process is strung together 😩 Pain point: Each link is in a different system, and the context is separated 🪄 One sentence prompt: 根据这份需求文档，帮我在代码仓里建分支、生成初版代码、提交评审并触发部署流水线

✨ Effect: End-to-end automation, R&D only needs to focus on core logic

🤝 09 · Legal · Compliance · Procurement

42 · Contract Review Assistant

🎯 场景：收到客户合同或供应商合同，要快速识别风险条款 😩 痛点：法务排期长，自己又看不出关键坑 🪄 一句话提示词：审查这份合同，标注高风险条款（金额、违约、知识产权、保密、排他），给出修改建议和我方立场 🎯 Scenario: When receiving a customer contract or supplier contract, you must quickly identify risk clauses 😩 Pain point: The legal schedule is long, and you can’t see the key pitfalls 🪄 One sentence prompt: 审查这份合同，标注高风险条款（金额、违约、知识产权、保密、排他），给出修改建议和我方立场

✨ Effect: A round of self-examination is conducted before legal affairs take over, and the efficiency is doubled.

43 · Tender Scoring

🎯 场景：作为采购方打分，或作为投标方自检 😩 痛点：打分表几十项，人工打容易主观漂移 🪄 一句话提示词：按这份评分标准，给这份标书逐项打分，给出扣分理由和改进建议 🎯 Scenario: Scoring as a purchaser, or self-inspection as a bidder 😩 Pain point: There are dozens of items in the scoring table, and manual scoring is prone to subjective drift 🪄 One sentence prompt: 按这份评分标准，给这份标书逐项打分，给出扣分理由和改进建议

✨ Effect: objective scoring + structured improvement suggestions

44 · Privacy Policy / User Agreement Drafting

🎯 场景：产品要上线前，要有一份合规的隐私政策 😩 痛点：法律文本不敢自己写，请外部律师又贵 🪄 一句话提示词：基于我的产品 [功能描述]，起草一份符合个保法的隐私政策，突出数据收集范围、使用目的和用户权利 🎯 Scenario: Before the product is launched, a compliant privacy policy must be in place 😩 Pain point: I dare not write the legal text myself, and hiring an external lawyer is expensive 🪄 One sentence prompt: 基于我的产品 [功能描述]，起草一份符合个保法的隐私政策，突出数据收集范围、使用目的和用户权利

✨ Effect: Go through the legal review process after generation, greatly saving lawyers time

45 · Procurement basis is generated with one click 🔥🔥

🎯 场景：采购前需要出一份"采购依据"供领导审批 😩 痛点：手动调研三家供应商 + 整理报价 + 写依据文档，耗时 1 小时起 🪄 一句话提示词：针对 [采购品类]，帮我调研三家主流供应商的报价和服务对比，生成一份标准的采购依据文档 🎯 Scenario: Before purchasing, a “purchasing basis” needs to be issued for leadership approval 😩 Pain point: Manually research three suppliers + organize quotations + write basis documents, which takes at least 1 hour 🪄 One sentence prompt: 针对 [采购品类]，帮我调研三家主流供应商的报价和服务对比，生成一份标准的采购依据文档

✨ Effect: 1 hour → 10 minutes, the approval rate is significantly improved

46 · Government subsidy declaration

🎯 场景：申报地方政府的补贴资质，要整理大量案例材料 😩 痛点：一次申报要几十份材料，格式要求还严格 🪄 一句话提示词：基于 [地市] 的申报要求，从我们的历史案例里匹配 5 个最契合的案例，按标准模板整理成申报材料 🎯 Scenario: To apply for local government subsidy qualifications, a large amount of case materials need to be compiled 😩 Pain point: Dozens of materials are required for one application, and the format requirements are strict 🪄 One-sentence prompt: 基于 [地市] 的申报要求，从我们的历史案例里匹配 5 个最契合的案例，按标准模板整理成申报材料

✨ Effect: From “combing human flesh for a week” to “packing in one afternoon”

👥 10 · HR and Personnel

47 · Automation of the entire recruitment process 🔥🔥

🎯 场景：从发职位 → 收简历 → 匹配候选人 → 安排面试，一条龙 😩 痛点：每个环节都在不同系统里切来切去 🪄 一句话提示词：发布 [岗位] 职位，帮我筛选过去一周进来的简历，按匹配度打分，对 Top 5 候选人自动发起面试邀约 🎯 Scenario: Post a job → Receive resumes → Match candidates → Arrange interviews, one-stop service 😩 Pain points: Each link involves switching between different systems 🪄 One sentence prompt: 发布 [岗位] 职位，帮我筛选过去一周进来的简历，按匹配度打分，对 Top 5 候选人自动发起面试邀约

✨ Effect: The originally scattered recruitment links can be solved in one sentence

48 · Resume batch analysis

🎯 场景：一次收到几十份简历，要快速筛出 Top 10 😩 痛点：逐份翻阅累到眼瞎，还可能漏掉好候选人 🪄 一句话提示词：分析这批简历 [附件]，按 [岗位] 的 JD 匹配度打分，输出 Top 10 候选人的亮点对比表 🎯 Scenario: Receive dozens of resumes at a time and need to quickly filter out the Top 10 😩 Pain Points: Reading through them one by one makes you blind, and you may miss good candidates 🪄 One sentence prompt: 分析这批简历 [附件]，按 [岗位] 的 JD 匹配度打分，输出 Top 10 候选人的亮点对比表

✨ Effect: From “blind screening” to “structured scoring”

49 · One-sentence application for leave/approval/reimbursement

🎯 场景：日常要提交请假、报销、出差等各种 OA 审批 😩 痛点：钉钉里找表单、填字段、选审批人，每次 3 分钟 🪄 一句话提示词：帮我提交明天上午半天的年假申请，审批人选我的直属领导，理由写"家里有事" 🎯 Scenario: Daily submission of various OA approvals such as leave, reimbursement, business trip, etc. 😩 Pain point: Find the form on DingTalk, fill in the fields, and select the approver, 3 minutes each time 🪄 One sentence prompt: 帮我提交明天上午半天的年假申请，审批人选我的直属领导，理由写"家里有事"

✨ Effect: Complete the approval process directly in one sentence

50 · Interview Arrangement & Notification Sending

🎯 场景：候选人筛选完后，要发面试通知、约时间、订会议室 😩 痛点：邮件 + 电话 + 日程，来回拉扯很多次 🪄 一句话提示词：给候选人 [姓名] 发面试通知，时间定在 [日期时间]，面试官 [名单]，预订会议室并发邀请 🎯 Scenario: After candidates are screened, they need to send out interview notices, make appointments, and book conference rooms 😩 Pain points: emails + phone calls + schedules, many times of back and forth 🪄 One sentence prompt: 给候选人 [姓名] 发面试通知，时间定在 [日期时间]，面试官 [名单]，预订会议室并发邀请

✨ Effect: HR upgraded from “Secretary” to “Strategy”

🎨 11 · Imagination and creative gameplay

In addition to “working”, Wukong can also do some warm and interesting things.

51 · Personal personality portrait analysis

🎯 场景：基于自己最近的聊天记录，做一次人格侧写 😩 痛点：做性格测试要花时间一题一题答 🪄 一句话提示词：分析我最近一周的聊天风格和语言习惯，推演我的 MBTI 类型，给出性格画像和生活建议 🎯 Scenario: Do a personality profile based on your recent chat history 😩 Pain point: Doing the personality test takes time to answer each question 🪄 One sentence prompt: 分析我最近一周的聊天风格和语言习惯，推演我的 MBTI 类型，给出性格画像和生活建议

✨ Effect: AI profiling for free answers, entertaining and insightful at the same time

52 · Zen of Wukong (AI Meditation)

🎯 场景：工作焦虑、开会前需要稳住心态，想要一段定制的冥想引导 😩 痛点：刷冥想 App 太套路化，不贴合当下情境 🪄 一句话提示词：基于我今天的状态 [状态描述]，生成一段 5 分钟的冥想引导词，用低沉温暖的语气，结尾给一句积极自我暗示 🎯 Scenario: Anxious at work, need to calm down before a meeting, and want a customized meditation guide 😩 Pain point: The meditation app is too routine and does not fit the current situation 🪄 One sentence prompt: 基于我今天的状态 [状态描述]，生成一段 5 分钟的冥想引导词，用低沉温暖的语气，结尾给一句积极自我暗示

✨ Effect: AI version of mindful companionship

53 · Bedtime story clone

🎯 场景：出差在外，想用自己的声音和风格给孩子讲睡前故事 😩 痛点：孩子想听爸爸/妈妈讲故事，但你不在身边 🪄 一句话提示词：用我的讲话风格，生成一个关于 [主题] 的教育性睡前故事，10 分钟篇幅，适合 [年龄] 的孩子 🎯 Scenario: I am on a business trip and want to tell my child a bedtime story in my own voice and style 😩 Pain point: The child wants to listen to his father/mother telling stories, but you are not around 🪄 One sentence prompt: 用我的讲话风格，生成一个关于 [主题] 的教育性睡前故事，10 分钟篇幅，适合 [年龄] 的孩子

✨ Effect: The AI version of “I” continues to accompany you and makes your family feel warm

💡 Advice for newbies on the road

Step 1: Pick a card that is most relevant to your position, copy the prompt word directly into Wukong and run it.

Step 2: Record 3 situations where you thought “Wow, this is so easy” and fine-tune the prompt words into your own template.

Step 3: Precipitate your prompt word template into a skill, and the complete process can be triggered in one sentence.