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You know what you want Claude to do. You just can’t figure out how to say it. You type a few lines, delete them, type them again, and twenty minutes later you still haven’t started the actual work.
That blank-page problem is exactly why people search for a Claude prompt generator. Instead of writing the prompt yourself, you describe the job and let a tool draft it for you.
Anthropic has built tools for this, and you can also turn Claude itself into a prompt generator inside an ordinary chat. Each approach suits a different kind of user.
In this post, I will explain how each option works, give you a full prompt that makes Claude interview you and write your prompt for you, and show you how to check the result before you rely on it.
What a Claude Prompt Generator Actually Does
A prompt generator takes a plain description of a task and returns a structured prompt you can run. Instead of “write me something for my newsletter,” you get a full set of instructions with a role, rules, an output format and sometimes examples.
There are two routes to one.
Anthropic’s built-in tools live in the Anthropic Console, the developer workspace for building with Claude. They’re designed for people who write prompts they’ll reuse, often inside apps or automations.
A generator you build inside Claude is just a well-written prompt that asks Claude to design prompts for you. This works in the regular chat and needs no developer account.
If you only use Claude occasionally through the chat window, the second route is probably all you need. One review of the Console says that for people who generate content occasionally with ad hoc prompts in the chat, the Console probably isn’t necessary.
How to Use Anthropic’s Console Prompt Generator
Anthropic’s documentation says the generator guides Claude to create high-quality prompt templates tailored to your specific task, following many of Anthropic’s prompt engineering best practices. It works with all current Claude models, and the underlying method is public, so developers can adapt it.
You describe what you want in plain language, and it writes the template. Here’s the general process.
- Sign in to the Anthropic Console. This is a separate developer account from the one you use for chat, so you may need to create one.
- Open the prompt generator. Look for it in the Console’s tools for writing prompts.
- Describe your task in a few sentences. Say what the input is, what the output should be and who it’s for.
- Read the template it returns. Check the structure, the rules and any variables, which are the parts that change each time you use the prompt.
- Test it with real inputs. Run it on two or three actual examples before you trust it.
The variables matter because they make a prompt reusable. Anthropic notes that the generator decides what variables your prompt needs and includes them in the template it outputs. So a prompt for summarizing customer reviews can accept a new batch of reviews each week without rewriting.
One caution. The Console is built for developers, and using it may involve API usage and billing separate from your chat plan. Check Anthropic’s current pricing before you begin.
How to Use the Prompt Improver on a Prompt You Already Have
If you already have a prompt that sort of works, the prompt improver may serve you better. It takes your existing prompt and rewrites it.
Anthropic describes it as letting developers take existing prompts and have Claude automatically refine them using prompt engineering techniques. After testing the new version, you can give Claude feedback on what’s still not working and repeat the process until you’re satisfied.
The results Anthropic reported are striking. In its tests, a Claude 3 Haiku classification prompt gained 30% in accuracy, and adherence to a word-count instruction reached 100% across ten summaries.
Keep those numbers in perspective, though. They come from Anthropic’s own testing on earlier models, so don’t expect the same jump on your task. The documentation also warns that the improver creates templates that produce longer, more thorough, but slower responses. That’s fine for analysis and a poor fit when you need quick answers.
How to Build Your Own Claude Prompt Generator Inside Claude
This is the version most people will actually use. You don’t need a developer account. You need one good meta-prompt, which is a prompt that asks Claude to write prompts.
The trick is to make Claude interview you first. A prompt written from a vague description is a vague prompt, and questions fix that.
Here’s a complete one. It uses a made-up café owner as the example task, so swap in your own situation.
You are an expert prompt writer who helps small business owners get reliable results from Claude. I'll describe a task I do regularly. Your job is to write me a prompt I can reuse.
My task: I own three cafés. Every Monday I paste in the past week's customer reviews from Google and Instagram, and I want a short summary for my managers' meeting.
Before you write anything, ask me up to six questions, one at a time, that you need answered to write a strong prompt. Focus on who reads the summary, what decisions it should support, what format works best, what mistakes would be costly, and what an excellent result looks like. Wait for my answer to each question before asking the next.
When you have enough information, write the prompt with these parts:
1. A role for Claude and a one-sentence reason the task matters.
2. A short description of the reader and what they'll do with the output.
3. The task, as clear numbered steps.
4. Rules, written as what to do, with a short list of things to avoid.
5. The exact output format, with a length limit.
6. One example of a good output, wrapped in example tags.
7. A place for the pasted reviews, wrapped in tags, placed before the instructions.
8. A final instruction telling Claude to say so if the reviews don't contain enough information, instead of guessing.
After the prompt, give me three realistic test inputs I can use to check it, including one tricky case such as a single angry review that could skew the summary. Then tell me which part of the prompt you're least sure about.
Notice the final request. Asking Claude which part it’s least sure about gives you a built-in review list.
This follows Anthropic’s own advice. The company’s guide recommends placing long documents near the top of your prompt, above your instructions, and wrapping examples in their own tags so Claude can tell them apart from instructions. The meta-prompt tells Claude to build exactly that structure.
What to Check in a Generated Prompt
A generated prompt is a draft. Before you save it, go through this checklist.
The reader is named. If the prompt doesn’t say who the output is for, add it.
The reason is stated. Claude performs better when it knows why you’re asking, so make sure the purpose appears somewhere.
Rules say what to do. Anthropic’s guidance is to tell Claude what to do instead of what not to do. Rewrite any long list of prohibitions.
There’s a gap rule. The prompt should tell Claude to flag missing information rather than invent it.
Examples match your real work. Anthropic recommends three to five examples that are relevant and diverse. One example is a start, but add more if the task has variations.
It isn’t bloated. Generators like to be thorough. Microsoft’s guidance on Copilot makes the same point that a longer prompt isn’t necessarily a better one. Cut anything that doesn’t change the output.
Common Mistakes With Prompt Generators
Describing the task in one line. The generator can only work with what you give it. Include the input, the output and the reader.
Never testing the result. A prompt that reads well can still fail on your messy real data. Run it on three real examples.
Keeping outdated tricks. Some generated templates ask Claude to write out its reasoning in tags before answering. Anthropic’s current guidance warns that on several of its newest models, a prompt asking the model to write out its reasoning may be declined, so ask for a short explanation of the answer instead. Likewise, if a template uses a prefilled response, the guide says prefills on the last turn are no longer supported on the newer models, so remove them.
Over-prescribing the steps. On the newest models, Anthropic notes that instructions written for earlier models are often too prescriptive and can degrade output quality. If a generated prompt is full of rigid step-by-step rules, try a shorter version and compare.
Pasting sensitive data into tools you haven’t checked. Review your workplace policy before sharing customer or financial information.
Save the Prompts That Work
Once a generated prompt passes your tests, save it with a short note: what it’s for, what to paste in, and which Claude model you tested it on. Add the date, because you’ll want to retest after major model updates.
A generator helps most when you have unusual tasks. For common jobs like client emails, meeting summaries or product copy, you may not want to generate and test from scratch every time. Our JSON Prompt Mastery for Claude product gives you 70+ pre-built structured prompts organized by business workflow, so you can run a tested prompt straight away and keep the generator for the one-off tasks.
Let Claude Write the First Draft, Then Make It Yours
A Claude prompt generator removes the blank page, but it doesn’t remove your judgment. Describe the task clearly, let Claude interview you, then test the result on real inputs and trim whatever doesn’t earn its place.
Try it on one task you repeat every week. Run the meta-prompt above with your own details, and see how close the first draft gets.