Right, so the base version of the CLI I sketched out is just the “bare bones library manager”: add → list → view → delete. That’s enough to start building your personal vault of prompts per model.

When I mentioned extensions:
• Search by keyword: Instead of scrolling through IDs, you’d type a word (e.g. “cybersecurity”), and it would scan title, category, and content in SQLite, returning matching prompts. That makes discovery practical once you have dozens or hundreds saved.
• Export/import to JSON/YAML: This turns your local library into a portable bundle. Export lets you back it up or share it; import lets you merge new collections into your DB. JSON is easy to handle programmatically, YAML is more human-friendly.
• Auto-tailoring prompts per model using templates: This is the fun bit. You’d define a base universal template (the skeleton structure that works everywhere). Then you’d have model-specific transformations: e.g. expand details for Claude (likes narrative context), compress instructions for GPT (thrives on concise patterns), or break prompts into stepwise reasoning for Gemini. The CLI could take your “raw” idea and generate a model-tuned variant for each.

That way your library wouldn’t just be static storage—it would become a prompt workshop, spitting out optimized variants based on the model you’re targeting.

README.md

@@ -1,10 +1,13 @@
 ---
-title: Deepsite Project
-emoji: 📚
-colorFrom: pink
-colorTo: pink
+title: DeepSite Project
+colorFrom: purple
+colorTo: purple
+emoji: 🐳
 sdk: static
 pinned: false
+tags:
+  - deepsite-v3
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Welcome to your new DeepSite project!
+This project was created with [DeepSite](https://deepsite.hf.co).