A powerful general-purpose Oil Monkey script that provides intelligent prompt template management functions for the top 10 mainstream AI platforms.
It supports one-click template application, intelligent reading of chat input, and advanced template management and site-specific default settings
1. Project introduction
- Repository name: dongshuyan/PromptHelper, open source license is MIT
- It is designed to be a “universal” script that can be used across multiple AI platforms
- After installing this script, you can directly use it to apply and manage prompt templates on supported platforms (such as ChatGPT, Claude, Google Gemini, etc.), improving the efficiency and consistency of prompt writing.
2. Main functions
Here are some of the core features of PromptHelper (and what it does and how):
| Function | Function / Description |
|---|---|
| Cross-platform support | Supports various services such as ChatGPT (chat.openai.com), Google Gemini, Claude, Kimi, DeepSeek, Universal AI Platform, and more |
| Intelligent reading of inputs | It automatically reads what you have in the AI platform’s input box (i.e., your question or the part of the prompt you want to give to the AI) |
| Apply the default template with one click | After you type your question, you can click a button to insert the default prompt template into the input, saving you the hassle of writing the template manually every time |
| Multi-template management | You can create, edit, and organize templates for different purposes (e.g., for writing papers, emails, generating code, etc.) |
| Different websites can set default templates | For different AI platforms/services, you can set different site-specific defaults |
| Template rule system | Support the use of wildcards to write template rules, and also support priority judgment to make the automatic matching of templates more flexible |
| Import/export templates | You can export template collections or import collections shared by others ([GitHub][1]) |
| Template variable replacement | Writing a placeholder in a template (e.g. {User Question}) will automatically replace it with what you actually typed |
| UI customizable & compatibility | The button position and size can be adjusted; Compatible with different front-end frameworks (React, Vue, Shadow DOM, etc.) |
| On-premises data & security | All templates and settings are saved in the browser’s local storage and are not uploaded to external servers, protecting privacy |
3. Usage process (approximately)
- Install Tampermonkey (or other browser extension that supports user scripting)
- Install the PromptHelper script in places like GreasyFork
- Open a supported AI platform (like ChatGPT)
- There you will see a “Helper” button or interface
- Enter the question you originally wanted to ask
- Click the “Apply Default Template” button to merge → template with your question → into an enhanced prompt to send to the AI
- If you want, you can also go to the “Template Management Interface” to edit, add, switch, set priorities, import/export, etc
4. Advantages and possible limitations/challenges
Pros:
- Improve efficiency: You don’t have to write the template structure every time, you can quickly apply the standard format
- Consistency: Various questions/uses can have a unified question template and a stable style
- Flexibility: Supports multiple templates, rule matching, platform adaptation, and can automatically select templates according to the situation
- Localization and security: Data is local, no upload to the server, protecting privacy
Limitations / Possible Challenges
- Can only work on supported AI platforms (not available everywhere)
- The template’s intelligent matching/rule system, no matter how well designed, can make mistakes in edge cases
- The interface and user experience may be limited by the capabilities of browser scripts
- If you frequently use AI on new or unsupported platforms, you may not be able to use the convenience of this script
- The quality of the template itself is still crucial—if the template is not well written, it may not necessarily yield good results
GitHub：https://github.com/dongshuyan/PromptHelper
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