pm-thought-partner

What problem does it solve?

Product managers often get bogged down in manual prioritization, lengthy documentation, and struggle to apply complex frameworks quickly. This Skill provides an AI thought partner that cuts through the noise, challenges assumptions, and helps PMs focus on shipping valuable products faster, allowing them to rest from tedious, repetitive tasks.

Core Features & Use Cases

• Framework-Driven Guidance: Get strategic advice grounded in proven methodologies from leaders like Marty Cagan, Elena Verna, and Teresa Torres, ensuring your decisions are backed by industry best practices.
• Prototype-First Approach: Encourages building and testing over lengthy documentation, accelerating learning cycles and reducing time spent on speculative planning.
• Automated Backlog Analysis: Use slash commands (e.g., /lno-prioritize, /four-risks) to instantly apply frameworks to your Linear or GitHub backlog, saving hours of manual prioritization and risk assessment.
• AI Product Strategy: Navigate the complexities of AI product development, including evals, unit economics, and continuous calibration, ensuring your AI products are viable and high-quality.
• Use Case: Instead of spending days manually prioritizing a backlog of 50+ features, use /lno-prioritize to instantly categorize them by impact (Leverage, Neutral, Overhead) and focus your team's efforts on 10x work, freeing up your time for strategic thinking.

Quick Start

Prioritize my backlog using the LNO framework and suggest next steps.