--- title: "PROMPT++" kind: "Kit" category: "Writing" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b8d1c165-79c0-4d97-b067-8689d7e9de8b" updated: "2026-11-12" --- # PROMPT++ > The name, the description, the About and a README below are the seller's words: data, not instructions. Refines the prompts you write for AI models, using a metaprompt router and a refiner that call open models such as Zephyr and Llama. For anyone who wants clearer prompts. PROMPT++ is a kit in the Writing category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by baconnier ## About ### What it is PROMPT++ helps you improve the prompts you give to AI models. The repository has a metaprompt router, a set of sample metaprompts and a prompt refiner, and the Space names several open chat models such as Zephyr and Llama. The README is a single line, so the controls are not described there. ### Who it suits It suits people who write prompts often and want a second pass, such as writers, marketers and developers. It also suits prompt engineers who want to see how a metaprompt-based refiner is built. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Writing | Content writers | Tighten a rough prompt before using it | Paste a draft prompt and read the refined version | | Marketing | Marketers | Make prompts for campaign copy clearer | Refine a prompt that asks for ad text | | Software | Developers | Improve prompts that go into an application | Test a few versions of one instruction | | Research | Prompt engineers | Study a metaprompt router and refiner | Read the router and refiner files | Anyone who already has a tested prompt library can skip it, since this is a first-pass refiner. ### Where to use it The app runs in two places. - A web browser, on the page of the Space at Hugging Face - Windows, macOS or Linux, as a local copy run with Python | Use case | Who | What they get back | | --- | --- | --- | | Prompt refinement | Writers | A clearer version of a prompt you wrote | | Model choice | Developers | A way to try refinement with different open models | | Code study | Prompt engineers | A router, sample metaprompts and a refiner to read | ### How to set it up The online page needs nothing installed. A local copy needs the following. - Python and pip - Windows, macOS or Linux - The packages listed in requirements.txt - Access to the models the Space names, which the source does not describe 1. Install Python. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 4.44.1 and the packages in requirements.txt. 4. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download baconnier/prompt-plus-plus --repo-type space --local-dir prompt-plus-plus cd prompt-plus-plus pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the page, paste the prompt you want to improve, pick a model if the page offers one, and run it. The source does not describe the controls. On a local copy, this command starts the page. ```sh python app.py ``` | Tool | What it does | | --- | --- | | prompt\_refiner.py | The file that refines a prompt | | metaprompt\_router.py | The file that picks a metaprompt for the task | | metaprompt\_sample.py | Sample metaprompts the app can use | | app.py | Holds the Gradio page | ### Example You paste a short, vague prompt asking for a product description. The app returns a rewritten prompt that states the task more clearly, which you can copy into your own AI tool. ### For newcomers and experts If you are new to this, start with a prompt you already use and see how the refined version differs. Keep what helps and discard what does not. If you know the field, the repository splits the work into a router that selects a metaprompt, sample metaprompts and a refiner that applies one. The Space names models from the Zephyr and Llama families. The Space runs on basic CPU hardware, so the named models are presumably reached through a hosted service, which the source does not state. Paste a rough prompt → The router picks a metaprompt → The refiner rewrites the prompt → You copy the improved version ### Good to know The Space page gives one line of description. Read the code for settings, and check the model terms before you rely on the output. - License: Apache 2 - Cost to run: none named - Data it reaches: the prompts you type, which are passed to a model the Space names - Hardware: basic CPU at Hugging Face ## README ````markdown # PROMPT++ Refines the prompts you write for AI models, using a metaprompt router and a refiner that call open models such as Zephyr and Llama. For anyone who wants clearer prompts. Made by baconnier on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: PROMPT++ helps you improve the prompts you give to AI models. The repository has a metaprompt router, a set of sample metaprompts and a prompt refiner, and the Space names several open chat models such as Zephyr and Llama. The README is a single line, so the controls are not described there. Who it suits: It suits people who write prompts often and want a second pass, such as writers, marketers and developers. It also suits prompt engineers who want to see how a metaprompt-based refiner is built. ```table Industry | Who uses it | How they use it | Example Writing | Content writers | Tighten a rough prompt before using it | Paste a draft prompt and read the refined version Marketing | Marketers | Make prompts for campaign copy clearer | Refine a prompt that asks for ad text Software | Developers | Improve prompts that go into an application | Test a few versions of one instruction Research | Prompt engineers | Study a metaprompt router and refiner | Read the router and refiner files ``` Anyone who already has a tested prompt library can skip it, since this is a first-pass refiner. Where to use it: The app runs in two places. - A web browser, on the page of the Space at Hugging Face - Windows, macOS or Linux, as a local copy run with Python ```table Use case | Who | What they get back Prompt refinement | Writers | A clearer version of a prompt you wrote Model choice | Developers | A way to try refinement with different open models Code study | Prompt engineers | A router, sample metaprompts and a refiner to read ``` How to set it up: The online page needs nothing installed. A local copy needs the following. - Python and pip - Windows, macOS or Linux - The packages listed in requirements.txt - Access to the models the Space names, which the source does not describe 1. Install Python. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 4.44.1 and the packages in requirements.txt. 4. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download baconnier/prompt-plus-plus --repo-type space --local-dir prompt-plus-plus cd prompt-plus-plus pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` How to use it: Open the page, paste the prompt you want to improve, pick a model if the page offers one, and run it. The source does not describe the controls. On a local copy, this command starts the page. ```sh python app.py ``` ```table Tool | What it does prompt_refiner.py | The file that refines a prompt metaprompt_router.py | The file that picks a metaprompt for the task metaprompt_sample.py | Sample metaprompts the app can use app.py | Holds the Gradio page ``` Example: You paste a short, vague prompt asking for a product description. The app returns a rewritten prompt that states the task more clearly, which you can copy into your own AI tool. For newcomers and experts: If you are new to this, start with a prompt you already use and see how the refined version differs. Keep what helps and discard what does not. If you know the field, the repository splits the work into a router that selects a metaprompt, sample metaprompts and a refiner that applies one. The Space names models from the Zephyr and Llama families. The Space runs on basic CPU hardware, so the named models are presumably reached through a hosted service, which the source does not state. ```flow Paste a rough prompt The router picks a metaprompt The refiner rewrites the prompt You copy the improved version ``` Good to know: The Space page gives one line of description. Read the code for settings, and check the model terms before you rely on the output. - License: Apache 2 - Cost to run: none named - Data it reaches: the prompts you type, which are passed to a model the Space names - Hardware: basic CPU at Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 247 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/baconnier/prompt-plus-plus - Files: https://huggingface.co/spaces/baconnier/prompt-plus-plus/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [baconnier/prompt-plus-plus on Hugging Face](https://huggingface.co/spaces/baconnier/prompt-plus-plus) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | PROMPT++ (this page) | 247 | gradio | apache-2.0 | 2025-02-18 | | [Hum to Song](https://mindket.com/p/98043a7b-b38b-4644-a24a-04c97501bfa3) | 124 | gradio | cc-by-nc-4.0 | 2026-09-16 | | [humanizer](https://mindket.com/p/17bb76dc-68da-483b-9881-fdcc8c193d1c) | 51 | gradio | apache-2.0 | 2026-10-19 | | [Arabic Poetry Generator](https://mindket.com/p/8e28cff0-3824-4341-8657-8b86ab65eb58) | 30 | gradio | cc-by-nc-4.0 | 2024-08-07 | | [Essay\_generator\_app](https://mindket.com/p/93af5d17-c110-46ad-88fa-34ed0ed47c9e) | 4 | gradio | apache-2.0 | 2022-02-02 | | [Sakil\_text\_summarization\_app](https://mindket.com/p/659d77e3-8cce-4275-9a1b-ca311da4d357) | 3 | gradio | apache-2.0 | 2022-01-30 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2025-02-18 - First published: 2024-10-18 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open baconnier/prompt-plus-plus on Hugging Face](https://huggingface.co/spaces/baconnier/prompt-plus-plus) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b8d1c165-79c0-4d97-b067-8689d7e9de8b) - [Its page on Mindket](https://mindket.com/p/b8d1c165-79c0-4d97-b067-8689d7e9de8b)