Frontier models improve at a pace faster than the pace at which most humans are able to keep up. Not all of us are obsessed with pushing the boundaries of our agents and trying new ways to work with them. I often spend 12+ hours a day working with an LLM, and still, when I talk to people, I hear of ways of working I hadn’t thought of.

What if we could speed up that pace of learning? What if everybody shared their practices of how they are making the most of AI, and if we could learn from each other? What if AI could make that sharing happen? Could everyone catch up with AI then?

I know, it sounds dreamy, but my therapist says illusions are necessary—until some of them come true.

I built a tool that teaches your local agent to scan your sessions, spot the best practices you already use, and guide you towards the ones you haven’t discovered yet. Only names and counts reach the server. Your sessions never do.

The product has a self-consolidating catalogue of practices, MCP servers, plugins and skills.

Here’s my stack—scan (locally, all session data remains private). https://app.userrank.ai/@milstan

To spice things up and give a reason to rescan, I added rankings inspired by Foursquare (who here is old enough to remember Foursquare when it was gamified?). You can rank in the top 10 of a city, or of a field like Product.

Claude Code, 10–20 minutes on your own plan:

claude plugin marketplace add https://app.userrank.ai/plugins/marketplace.json claude plugin install userrank@userrank claude "Get my UserRank"

Codex, or a quick scan of your Claude or ChatGPT chats: https://app.userrank.ai/start