ChatGPT prompt word collection, 2026 summary of practical templates for writing copywriting and programming learning

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📅 2026-05-25 11:33:09 👤 DouWen Editorial 💬 8 comments 👁 2

From its popularity in 2023 to 2026, ChatGPT has transformed from an early adopter toy into a productivity tool in daily work. But for the same ChatGPT, some people write official account manuscripts with a strong sense of rhythm, while others can only get a few clichés at the beginning. The difference is mostly not in the model itself, but in the prompt words. A clearly written prompt with clear roles and specific constraints can improve the output quality of ChatGPT by an order of magnitude. The problem is that most people have not systematically organized their commonly used prompt words. They write them out every time, and the effect is sometimes good or bad. This article is classified according to several high-frequency scenarios such as writing, learning, work, programming, translation, thinking, creativity, and role-playing. It summarizes the prompt word templates that can be directly reused, leaving replaceable interfaces for each.

1. Writing prompt words can be used in the public account Xiaohongshu

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The key to writing prompts is not to let the model play freely, but to clearly explain the target reader, style, and word count. The model is written-oriented by default. If you don't actively set it, you will get a manuscript that looks complete but is boring to read.

Public account rewriting template:

Please play the role of a senior public account editor and help me change the following paragraph into a more rhythmic and colloquial expression. The target readers are working women aged 25-35. The number of words should be within 800 words. The paragraphs should be short and appropriate to start with a rhetorical question. The tone is close to chatting with best friends but retains a professional feel. Original text:[paste original text]

The Little Red Book style needs to be shorter, more fragmented, and more colloquial:

Help me rewrite this product experience into a Xiaohongshu style note. The title should have a hook, the text should be within 300 words, change a paragraph every two to three sentences, and add first-person feelings. The tone is authentic and natural. Original text:[Paste experience]

First, give the model a clear identity and reader portrait, and then add style and word count constraints.

2 Learning prompt words to explain unfamiliar concepts in an understandable way

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Using ChatGPT as a personal teacher is the easiest way for ordinary users to gain value. By default, the model will be explained in a textbook way, but the best learning results are often explained with analogies and examples.

Template to explain unfamiliar concepts:

Please explain "[concept]" clearly in the most popular way. It is divided into three steps: the first step is to use analogies in life to give me an intuitive feeling, the second step is to give a rigorous definition, and the third step is to give two examples, one of which should reflect the boundary of this concept. No more than 600 words, assuming that I am a high school student who has never been exposed to this field.

Question practice is an underrated use:

Based on the [knowledge points] just discussed, please ask 5 questions to test my understanding, with increasing difficulty and mixed question types (concept analysis + application + an open discussion question). I will give you the reference answer after I finish the answer. Don’t give the answer all at once.

3 work prompt words, one-click output of weekly meeting minutes emails

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The goal of work prompt words is to be efficient, compliant, and not to step into the wrong trap. Scenes that are repeated every week such as meeting minutes and external emails are worth pondering.

Meeting minutes template:

Below is the transcript of a meeting I just finished, with the topic [Topic]. Please organize it into a structured minutes, including three parts: topics and conclusions, to-do items (indicate the person responsible and deadline), and open issues to be followed up. Keep your style concise, don't expand, don't add content that wasn't mentioned in the meeting. Original text: [pasted transcript]

External email polishing template:

Please polish the following email, addressed to [Customer/Partner Role], for the purpose of [Explain Purpose]. The tone should be polite but professional, not overly polite, put the core appeal in the first two paragraphs, and give a clear next step at the end. Original text:[paste draft]

The discipline is to state the background, readers, and goals clearly at once.

4 programming prompt words, can be used from reading code to writing tests

The upper limit of ChatGPT's capabilities in programming scenarios is determined by the accuracy of the prompt word. Asking generally "Is there a problem with this code?" and asking specifically "Will there be a race condition under concurrency?" will give completely different answers.

Code explanation template:

I can’t understand the following [language] code. Please explain it line by line, focusing on: what problem is solved, the meaning of the key variables, and whether there are any boundary conditions. The last one or two sentences summarize the overall design idea. Code:[paste]

debug template:

An error was encountered when running this code [paste error]. Code [paste], environment [system/version]. Please first list the most likely causes in order of likelihood, then provide troubleshooting steps, and finally provide repair suggestions.

Unit test template:

Please generate unit tests for the following function, using [Test Framework] to cover normal input, boundary values, abnormal input, concurrency or race conditions (if applicable). Explain clearly what to test for each use case. Function:[paste]

5 Prompt words for translation polishing, say goodbye to machine translation

Asking directly for "translation into English" often results in a version that is literally correct but sounds stilted.

Chinese-English academic polishing template:

Please translate the following Chinese paragraph into academic English. The scenario is [paper abstract/journal submission]. The terminology should be accurate, the sentence structure should comply with English academic standards, and literal translation should be avoided. After translation, list three non-literal adjustments separately and explain why. Original text:[paste]

Colloquial rewriting template:

This text is too written and sounds awkward when placed in a video script. Please rewrite it into a more colloquial version that is suitable for anchors to pronounce naturally in front of the camera. Sentences should be short, and oral connectives should be used appropriately, but should not be wordy. Original text:[paste]

The key is to make it clear who it is for and in which scenario.

6. Think about dismantling prompt words and let ChatGPT help you clarify your thoughts.

ChatGPT is useful in helping people clarify their thoughts. It doesn't make decisions for you, but it forces you to complete the dimensions you need to consider.

Decision framework template:

I am faced with a choice [describe decision], and there are [list 2-3 alternatives] as candidates. Please build a decision-making framework: list the key dimensions (at least 6), do a brief analysis of each solution for each dimension, and finally do not give a conclusion, just leave the analysis process to my own judgment.

Opposite opinion template:

My point is [description]. Please play the role of a well-intentioned but strict opponent and list three arguments from the strongest opposition position that would make me reconsider. Arguments should be specific, supported by facts, and not emotional.

The goal is not to have the model give a standard answer, but to act as a mirror.

7 creative brainstorming prompt words, named Slogan, ten at a time

In creative scenarios, the key is to give the model space to diverge and set clear screening criteria.

Name the brainstorming template:

Please generate 10 candidate names for [Product/Project Description]. 2-4 words each, in both Chinese and English, and must be catchy. Use one sentence after each to explain the naming idea. Then mark which ones are suitable for young users and which ones are more suitable for professional users.

Slogan template:

Please write 5 candidate slogans for [product/brand]. Each slogan should not exceed 12 words. The styles are: rational and professional, emotional resonance, humorous and relaxed, call to action, and literary and artistic restraint. Each short description captures the selling point.

8 role-playing prompt words, which can be used to simulate the interviewer’s psychological listening

Letting ChatGPT enter a specific role can unlock many experiences that cannot be obtained by simply asking questions. The key is to set your identity, tone, and boundaries clearly.

Mock interviewer template:

You are a senior interviewer in [industry/company] and are interviewing me for [position]. Please ask questions according to the real interview rhythm. First introduce yourself and explain the key points of this round of interviews, and then start to ask questions. Only ask one question at a time. After I answer, I will give a brief comment and the next question. There are about 6 questions in the entire simulation, and overall feedback and improvement suggestions will be given after the end.

Psychological listening template:

I want to talk to you about my recent feelings. Please act as a gentle listener and don’t rush to give me advice. Listen to me first and use questions as appropriate to help me explain my feelings clearly. If there are obvious cognitive biases or absolute expressions in the description, you can give gentle reminders, but do not give condescending conclusions.

A common misunderstanding is that if you only set character names and no boundaries, the dialogue will quickly slip back to the default mode. What you should do and what you shouldn't do is written down, so that the character is stable.

FAQ

Which prompt is better, short or long?

Depends on the type of task. For simple queries, chatting, and quick translation, short prompt words are better. If they are too long, the model will not be able to grasp the key points. For complex tasks, such as writing a manuscript in a specific style, doing structured analysis, and playing a specific role, long prompt words are usually more effective, and the model requires clear identity, reader, style, and word count. The judgment method is that if you can't tell the standard clearly, the prompt word needs to be more detailed.

What should I do if the answer to the same prompt word is different every time?

This is a normal characteristic of models like ChatGPT, which are generated with randomness. If you need stable output, you can add more stringent format constraints, such as outputting strictly according to the format, only outputting JSON without interpretation. The more specific the constraints, the more stable it will be. Another way is to run the same prompt word several times to select the most satisfactory one, or let the model give multiple candidates at a time.

Is there any difference between Chinese prompt words and English prompt words?

The effect of Chinese prompt words on most daily tasks is close to that of English, and ordinary users do not need to switch specifically. However, in professional, terminology-intensive fields, such as academic writing and specific technical documents, answers to English prompt words are sometimes more accurate because the proportion of training materials in these fields is higher in English. A compromise approach is to use Chinese for the main body and retain the original English words for key terms, which not only ensures efficiency but also reduces translation distortion.

How to accumulate good reminder words and use them repeatedly

The simplest way is to create a local note, classify it by scene, copy the prompt words that work well, and leave replaceable interfaces in square brackets. Every time you use it, write down a note to explain the situation in which it works best. After accumulating 20 or 30 items, consider special tools. Prompt words that can be used again and again usually come from self-polished versions, rather than one-click copies online.

Do ordinary users need to learn prompt word engineering?

There is no need to take it as a serious subject. The technique I use every day is to clearly explain the character, reader, goal, style, and word count, and give specific examples and constraints. The prompt word project was originally prepared for developers, involving details such as API calls, token optimization, chain calls, etc., and is basically unavailable to ordinary users. Writing more and trying more will work better than reading more tutorials.

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💬 Comments (8)

C
ContentDev 2026-05-25 04:08 回复

Thanks for the detailed comparison.

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SEOFan 2026-05-25 10:33 回复

Bookmarked for reference.

S
SEOFan 2026-05-24 18:02 回复

Easy to follow.

D
DigitalNomad 2026-05-25 09:22 回复

Loved the FAQ section.

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DataNerd 2026-05-25 06:32 回复

Best summary I've read on this.

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AIWatcher 2026-05-24 20:33 回复

Solid breakdown, very useful.

R
ResearcherJ 2026-05-25 03:40 回复

Stats really back it up.

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DevTools 2026-05-24 20:19 回复

Practical tips not fluff.