The Problem: Generic vs. Grounded AI

A general AI provides the "right" answer for any Product Manager, but often lacks the specific context of your product, team, and current quarter. Without context, AI output is generic advice rather than an actionable strategy.

The Solution: F.R.I.D.A.Y.

F.R.I.D.A.Y. (First Responder Intelligence for Driving Ambitious Yearly-goals) is a Claude Code plugin featuring 54 specialized skills. It bridges the gap between generic AI and your specific product reality by utilizing a dedicated Knowledge Base

Core Values

1. Grounded Context: It reads your company context, OKRs, user personas, and past decisions before producing any output.
2. The Compound Knowledge Effect: The system becomes more useful the longer you use it. Every output is saved back to your knowledge/ directory, meaning a PRD written today informs the prioritization session tomorrow.
3. Expert Frameworks: It doesn't just "chat"; it applies industry-standard frameworks like

• Cagan’s Spec Format for PRDs.
• Shreyas Doshi’s LNO Framework for prioritization.
• Brian Balfour’s Growth Loops for scaling.

4. Audience-Aware Communication: Skills like /status-update produce different versions of the same update for Engineering, Leadership, and Customers simultaneously.