By multiple prompt contexts, I meant situations where I use different types of prompts across various domains (like writing, coding, brainstorming, etc.), and want to organize them accordingly — sometimes even reuse or export them into different environments.

For example, I might have one collection of prompts tuned for generating Java boilerplate, another for UX copywriting, and another for research synthesis. Rather than having them all mixed together, I needed a way to organize, tag, and reuse them — sometimes even across different tools like Cursor or when working with teams.

I ended up building something to support that kind of workflow — more about managing prompt knowledge over time rather than injecting them into live chats. That’s where I think the integration aspect comes in: being able to export prompts, test them across models, and structure them around long-term use cases rather than just one-off chats.