This essay shows how to identify and use alternative career entry points. It covers practical tactics, common pitfalls, and real-world examples across different industries.

The author argues that modular “Skills”—reusable markdown workflows loaded on demand—outperform standalone AI agents by cutting token bloat and maintenance overhead. A live GEO audit system built with Skills shows how you can turn domain expertise into scalable, service-ready products without managing dozens of agents.

Chrome now lets you save reusable Gemini prompts as “Skills” for one-click access instead of retyping or copy-pasting each time. Saved Skills sync across devices when you’re signed in, and you trigger them with “/” or the plus button in Gemini. They still require confirmation for actions like messaging or calendar entries.

The article argues that the Model Context Protocol (MCP) offers a more effective way to connect large language models (LLMs) to services compared to Skills. While Skills can help with knowledge transfer, they create unnecessary complications, especially when they require command line interfaces (CLIs). The author advocates for using MCP to streamline service integration and improve user experience.