Closing the knowledge gap with agent skills

NASA’s X-59 is helping the nation celebrate the 250th anniversary of its independence with an update to its livery – its official paint job and insignia. The one-of-a-kind research aircraft is the centerpiece of NASA’s Quesst mission to demonstrate technology to fly supersonic, or faster than the speed of sound, without generating loud sonic booms. […]

Google Cloud has introduced the Agents CLI, a specialized tool designed to bridge the gap between local development and production-grade AI agent deployment. The CLI provides coding assistants with machine-readable access to the full Google Cloud stack, reducing context overload and token waste during the scaffolding process. By streamlining evaluation, infrastructure provisioning, and deployment into a single programmatic backbone, the tool enables developers to move from initial concept to a live service in hours rather than weeks.

Gemini CLI introduces Plan Mode, a read-only environment for analyzing codebases. It helps developers refine strategies without risking accidental execution.

A new server connects AI agents to Google Colab, aiding developers in prototyping. This benefits those working with AI agents like Gemini CLI and Claude Code.

Developers can standardize AI agent communication using new protocols. This simplifies data access and task handling for users.

Developers can create a smart financial assistant using LlamaParse and Gemini 3.1 to extract data from complex documents. This helps transform unstructured financial data into readable insights.