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

From its rise in 2023 to 2026, ChatGPT has gone from a novelty toy to a productivity tool in daily work. But with the same ChatGPT, some people write rhythmically engaging articles while others can only pull out a few canned opening lines, and the gap is mostly not in the model itself but in the prompts. A clear, role-defined prompt with concrete constraints can lift the quality of ChatGPT's output by an order of magnitude. The problem is that most people have never systematically organized the prompts they use often, improvising each time with hit-or-miss results. This article categorizes prompts by high-frequency scenarios, writing, learning, work, coding, translation, thinking, creativity, and role-play, rounding up directly reusable prompt templates, each leaving a replaceable interface.

1. Writing Prompts: Works for WeChat Official Accounts and Xiaohongshu

The key to writing prompts is not to let the model improvise freely, but to clearly state the target reader, style, and word count. The model defaults to a written tone, and without active settings you will get a piece that looks complete but reads dull.

WeChat Official Account rewrite template:

Please play the role of a senior WeChat Official Account editor and help me rewrite the following text into a more rhythmic, conversational style. The target readers are professional women aged 25 to 35, the word count is within 800 words, paragraphs should be short, and rhetorical questions may be used appropriately to open. The tone should be close to chatting with a close friend while retaining a sense of professionalism. Original text: [paste the original]

Xiaohongshu style needs shorter, more fragmented, more conversational text:

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

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

2. Learning Prompts: Explaining Unfamiliar Concepts So You Can Understand

Treating ChatGPT as a private tutor is the use most likely to deliver value for ordinary users. The model defaults to a textbook style of explanation, but the explanations that work best for learning are usually those with analogies and examples.

Template for explaining an unfamiliar concept:

Please explain "[concept]" in the most accessible way. In three steps: first, use a real-life analogy to give me an intuitive feel; second, give a rigorous definition; third, give two examples, one of which should illustrate the boundary of this concept. No more than 600 words, assuming I am a high schooler who has never encountered this field.

Generating practice problems is an underrated use:

Based on the [knowledge point] we just discussed, create 5 questions to test my understanding, increasing in difficulty, with mixed question types (concept differentiation + application + one open-ended discussion question). Let me answer first, then give the reference answers; do not give all the answers at once.

3. Work Prompts: Weekly Reports, Meeting Minutes, and Emails in One Click

The goal of work prompts is efficiency, compliance, and avoiding landmines. Weekly-repeated scenarios like meeting minutes and external emails are worth distilling into templates.

Meeting minutes template:

Below is a transcript of a meeting I just finished, on the topic [topic]. Please organize it into structured minutes with three parts: agenda items and conclusions; action items (noting the owner and deadline); and open issues to follow up on. The style should be concise, do not expand, and do not add anything not mentioned in the meeting. Original text: [paste the transcript]

External email polishing template:

Please polish the following email. The recipient is [client / partner role], and the goal is [state the goal]. The tone should be polite but professional, not overly formal, with the core request placed in the first two paragraphs and a clear next action at the end. Original text: [paste the draft]

The discipline is to state the background, reader, and goal clearly all at once.

4. Coding Prompts: Useful From Reading Code to Writing Tests

In coding scenarios, the upper limit of ChatGPT's capability is determined by the precision of the prompt. Vaguely asking "is there a problem with this code" and specifically asking "could there be a race condition under concurrency" yield entirely different answers.

Code explanation template:

I cannot understand the following [language] code. Please explain it line by line, focusing on: what problem it solves, the meaning of key variables, and whether there are boundary conditions. End with one or two sentences summarizing the overall design idea. Code: [paste]

Debug template:

I ran into the error [paste the error] when running this code. The code is [paste], and the environment is [system / version]. Please first list the most likely causes ranked by probability, then give troubleshooting steps, and finally give fix-suggestion code.

Unit test template:

Please generate unit tests for the following function, using [test framework], covering normal input, boundary values, abnormal input, and concurrency or race conditions (where applicable). State clearly what each case tests. Function: [paste]

5. Translation and Polishing Prompts: Goodbye to the Machine-Translation Feel

Simply asking to "translate into English" often yields a version that is literally correct but reads stiff.

Chinese-to-English academic polishing template:

Please translate the following Chinese into academic English. The scenario is [paper abstract / journal submission]. Use accurate terminology, sentence structures conforming to English academic norms, and avoid literal translation. After translating, separately list three non-literal adjustments and explain why. Original text: [paste]

Conversational rewrite template:

This text is too written; placed in a video script it sounds awkward. Please rewrite it into a more conversational version suitable for a host to read naturally on camera. Keep sentences short and use colloquial connectives appropriately, but do not be wordy. Original text: [paste]

The key is to state clearly who it is for and in what scenario it will be used.

6. Thinking and Breakdown Prompts: Let ChatGPT Help You Clarify Your Thinking

ChatGPT is very useful for helping people clarify their thinking. It does not make decisions for you, but it can force you to round out the dimensions you need to consider.

Decision-framework template:

I am facing a choice [describe the decision], with candidate options [list 2-3 options]. Please build a decision framework: list the key dimensions (at least 6), give a brief analysis of each option against each dimension, and at the end do not give a conclusion; just hand the analysis process to me to judge myself.

Counterargument template:

My viewpoint is [describe]. Please play a well-intentioned but strict opponent, starting from the strongest opposing stance, and list three arguments that would make me reconsider. The arguments should be concrete, fact-supported, and unemotional.

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

7. Creative Brainstorming Prompts: Ten Names or Slogans at Once

In creative scenarios, the key is to give the model room to diverge while setting clear screening criteria.

Naming brainstorm template:

Please generate 10 candidate names for [product / project description]. Each should be 2 to 4 characters, in Chinese or English, and catchy. After each, use one sentence to explain the naming rationale. Then mark which are suitable for young users and which are more suitable for professional users.

Slogan template:

Please write 5 candidate slogans for [product / brand], each no more than 12 characters, in these respective styles: rational-professional, emotionally resonant, humorous-light, call-to-action, and literary-restrained. For each, briefly explain the selling point it captures.

8. Role-Play Prompts: From Mock Interviewer to Empathetic Listener

Having ChatGPT step into a specific role unlocks many experiences you cannot get from plain Q&A. The key is to set the identity, tone, and boundaries clearly.

Mock interviewer template:

You are a senior interviewer at a [industry / company], interviewing me for the [position]. Please ask questions at a realistic interview pace: first introduce yourself and state the focus of this round, then begin asking, one question at a time; after I answer, give a brief comment and the next question. The whole simulation is about 6 questions, and at the end give overall feedback and improvement suggestions.

Empathetic-listener template:

I want to talk with you about how I have been feeling lately. Please play a gentle listener, not rushing to give advice; first let me finish speaking, and use questions appropriately to help me articulate my feelings. If there are obvious cognitive biases or absolute statements in what I describe, you may gently point them out, but do not deliver conclusions condescendingly.

A common mistake is to set only the role name without setting boundaries, and the conversation quickly slides back to default mode. Write into the prompt both what to do and what not to do, and the role stays stable.

Frequently Asked Questions

Which works better, a short prompt or a long one?

It depends on the task type. For simple queries, casual chat, and quick translation, a short prompt is actually better; making it too long causes the model to lose focus. For complex tasks, such as writing a piece in a particular style, doing structured analysis, or playing a specific role, a long prompt is usually more effective, because the model needs a clear identity, reader, style, and word count. The way to judge: if you yourself cannot articulate the criteria, the prompt needs to be more detailed.

What do I do if the same prompt gives a different answer every time?

This is a normal characteristic of models like ChatGPT, which carry randomness during generation. If you need stable output, you can add stricter format constraints, such as "output strictly in this format" or "output only JSON, no explanation"; the more specific the constraint, the more stable the result. Another approach is to run the same prompt several times and pick the most satisfactory one, or have the model give multiple candidates at once.

Is there a difference between Chinese prompts and English prompts?

Chinese prompts already perform close to English on most everyday tasks, so ordinary users need not deliberately switch. But in professional, terminology-dense fields, such as academic writing or specific technical documents, English prompts sometimes yield more accurate answers, because the training material in these fields has a higher English proportion. A compromise is to write the body in Chinese while keeping key terms in their original English, ensuring both efficiency and reduced translation distortion.

How do I accumulate good prompts for repeated use?

The simplest is to keep a local note, categorized by scenario, copying in the prompts that worked well, leaving a replaceable interface in square brackets. After each use, jot down one insight noting in which scenario it worked well. Once you have accumulated twenty or thirty, consider a dedicated tool. Reusable prompts usually come from versions you have refined yourself, not from one-click copies off the internet.

Do ordinary users need to specifically learn prompt engineering?

No need to grind through it like a formal discipline. The techniques useful in daily life are simply to state the role, reader, goal, style, and word count clearly, and to give concrete examples and constraints. Prompt engineering was originally meant for developers, involving details like API calls, token optimization, and chained calls, which ordinary users basically do not need. Writing and trying more is more effective than reading any number of tutorials.