TTaskPromptPicPromptLab · Public library

PUBLIC LIBRARY

TaskPrompt

常见任务提示词，填入资料即可开始

TaskPrompt 官方任务提示词库。100个可填写的中文任务模板，覆盖会议整理、商务邮件、简历面试、每日计划、内容改写、营销简报、优先级、数据检查与问题澄清。

100 public works

选择任务，准备资料，填写变量，再复制到常用对话模型。输入输出示例帮助判断是否适用；示例为编辑演示，非模型实测。— TaskPrompt

PUBLIC LIBRARY

Prompt gallery

Browse images and reusable prompts shared by this creator.

100works

把文章改成社区讨论帖

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为每天的任务写清完成标准

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建立可复用的面试故事库

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为业务面试准备反问问题

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准备活动上线前检查清单

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写一份可解释的优先级决策说明

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检查优先级评分有没有假精确

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区分完全重复行和重复业务主键

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给小表格做一次数据质量初检

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为下次用户沟通准备澄清问题

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写一份可交给同事的数据问题报告

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核对纪要中哪些结论缺少依据

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检查日期和枚举字段格式

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追问一个面试故事的薄弱环节

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会议很多时安排可完成的工作

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核对简历中的数字和因果关系

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给数据问题排一个修复顺序

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把长文章改成邮件简报

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列出会议结束后仍未回答的问题

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把失败或反馈经历讲成成长回答

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从文章中提取可独立使用的观点卡

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把大任务拆成今天能开始的步骤

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为一段经历找到可量化的信息

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按目标岗位调整简历经历重点

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区分个人贡献和团队成果

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选择适合当前问题的优先级方法

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把项目经历压缩成一句简历要点

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把营销主张和证据对应起来

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把文章改成一分钟口播稿

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制作面试前十分钟速查卡

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写一封不施压的结束跟进邮件

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用影响与工作量做快速分组

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写一封有新信息的跟进邮件

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从会议中提取待办与负责人

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从职位要求预测面试问题

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把文章改成一篇社交短帖

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把会议记录整理成正式纪要

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整理会议决策与暂缓事项

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为商务邮件拟五个主题行

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整理一页问题澄清画布

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起草会后跟进消息

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检查今天的计划是否排得过满

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把同一产品改写为不同岗位的邮件

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检查简历里的空泛动词

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检查拓客邮件里的夸大和虚假个性化

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把产品资料整理成一页营销简报

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检查会议待办是否足够明确

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为同一篇文章设计不同开场

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从会议记录拟下次会议议程

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生成一轮可自练的模拟面试

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准备个人贡献相关的面试回答

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检查改写是否扭曲原文

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区分症状、原因与解决方案

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准备一分钟自我介绍

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检查表格缺失值及其影响

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为小预算活动挑选主渠道

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设计三次联系的邮件顺序

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设计数据质量的定期检查清单

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把功能需求还原成用户目标

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用中期反馈调整后两周活动

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检查金额与状态之间的逻辑冲突

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生成两种不同诉求角度的邮件

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列出团队尚未验证的假设

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把项目经历整理成STAR回答

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临时插单后重排今天的工作

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检查排名对估计变化有多敏感

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把产品功能改写成客户相关的邮件

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识别问题讨论中遗漏的相关人

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为活动定义成功指标与记录表

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用RICE比较几个候选项目

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用MoSCoW明确本期范围

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把待办放进紧急重要四象限

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把功能请求还原成待解决问题

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没有业绩数字也能写清工作价值

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为同一经历写三种简历表达

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把未完成任务带入明天的计划

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判断当前数据能否用于汇总

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写一个不预设功能的探索问题

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把文章拆成一组连续短帖

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把文章整理成图文轮播文案

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从长任务清单选今天最重要三件事

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在有限人日内选择本周工作

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把多段会议记录合成周度进展

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把实习经历写成可证明的能力

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把今天的任务排成时间表

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检查现有证据能支持多大结论

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按用户痛点组织三个营销角度

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生成下班前五分钟复盘清单

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按自己的精力安排深度工作

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把模糊抱怨改写成明确问题

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制定四周营销内容日历

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为表格制定可执行的校验规则

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检查活动计划是否超出资源

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把一篇文章做成跨渠道内容包

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写一份可以交接的活动执行单

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把工作职责改写成简历成果

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把冗长商务介绍压缩成短邮件

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在一周决策前制定最小取证计划

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给未参会同事写会议速读版

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写一封首次联系的商务邮件

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CREATOR EDITIONS

Collections

Series of works arranged by theme.

10 works会议整理

10 works商务拓客邮件

10 works简历成果表述

T

ABOUT THE CREATOR

The person behind the work

TaskPrompt 官方任务提示词库。100个可填写的中文任务模板，覆盖会议整理、商务邮件、简历面试、每日计划、内容改写、营销简报、优先级、数据检查与问题澄清。

选择任务，准备资料，填写变量，再复制到常用对话模型。输入输出示例帮助判断是否适用；示例为编辑演示，非模型实测。