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metaprompter

Transforms simple raw prompts into a structured more structured and scalable prompts

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Description

Transforms simple raw prompts into a structured more structured and scalable prompts

README

Prompt Transformer

You've written the same type of prompt dozens of times. "Write a professional email..." "Create a summary..." "Generate code for..." Each time starting from scratch, hoping you remember all the important details.

What if you could capture the perfect prompt structure once and remember and reuse it at will ?

Prompt Transformer takes your messy, one-off prompts and extracts the underlying template. Feed it "Write a professional email declining a meeting" and get back a structured JSON with role, audience, tone, constraints, and format specs.

Now you have a reusable template. Your team can use it. Your API can consume it. You can review it, version it, test variations, and build entire prompt libraries.

One transformation. Infinite reuse. And if you want to go one step further modify the transformer itself for your own needs

Skip the details and Try out a Custom GPT based on this !

https://chatgpt.com/g/g-68aea2a957a8819186af31f366b178df-baxter-prompt-butler

Get started with the transformer

Replace <USER_INPUT_HERE> with your prompt in the markdown template file provided .

Paste everything into your AI chat session. Get a nice detailed, relevant and structured JSON Prompt back.

Your raw prompt becomes an organized, scalable template for you to customize, use it a any new LLM chat to see the results.

License - MIT

Release History

VersionChangesUrgencyDate
prompt-engineeringLatest release: prompt-engineeringHigh4/11/2026
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ai๐Ÿš€ **Beta Release 0.1 is Here!** Weโ€™re rolling out the first beta of the **Prompt Transformer** โ€” a simple way to turn messy prompts into clean, reusable JSON templates. This is just the start, so your feedback will help shape where we go next! **Release Notes** * Convert any raw prompt into a **structured JSON template** with one copy-paste. * Includes **ready-made examples** (like PRDs and story prompts) for quick testing. * Cleaner formatting + smart defaults for more consistent LLM Low8/27/2025

Dependencies & License Audit

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