Behind the scenes: How we build, test, and scale Google Agent Skills

Google Agent Skills launched as a structured, open-source instructions project to make AI agents smarter, safer, and more accurate. The project faced a challenge in scaling without losing quality, so Google implemented a high bar for skill contributions and standardized repository layouts. This ensures consistent standards across many Google services. To maintain quality, teams should follow a standardized repository layout and prefer remote MCP tools whenever possible.