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chatGPT nav menu filter

Filter anchors in nav elements by keyword inputted by user in real time.

Jak nainstalovat

K instalaci tototo skriptu si budete muset nainstalovat rozšíření jako Tampermonkey, Greasemonkey nebo Violentmonkey.

You will need to install an extension such as Tampermonkey to install this script.

K instalaci tohoto skriptu si budete muset nainstalovat rozšíření jako Tampermonkey nebo Violentmonkey.

K instalaci tohoto skriptu si budete muset nainstalovat rozšíření jako Tampermonkey nebo Userscripts.

You will need to install an extension such as Tampermonkey to install this script.

K instalaci tohoto skriptu si budete muset nainstalovat manažer uživatelských skriptů.

(Už mám manažer uživatelských skriptů, nechte mě ho nainstalovat!)

Jak nainstalovat

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(Už mám manažer uživatelských stylů, nechte mě ho nainstalovat!)

Autor
jctneko
Denně instalací
0
Celkem instalací
21
Hodnocení
1 0 0
Verze
0.1
Vytvořeno
12. 05. 2023
Aktualizováno
12. 05. 2023
Size
3,2 KB
Licence
You can modify as long as you credit me
Spustit na

chatGPT nav Filter

This user script allowing users to filter navigation links in real time based on a keyword input. Screenshot

Installation

Install the user script from Greasy Fork page using a user script manager extension like Tampermonkey.

Usage

  1. Open the OpenAI interface.
  2. A fixed-positioned input field appears at the top left.
  3. Enter a keyword to filter the navigation links.
  4. The navs will update in real time.

Note: Report any issues here or Greasy Fork page.

License

This user script is licensed under the MIT License. Feel free to modify and distribute it. Contributions are welcome.