Elevating Antigravity agent skills, Part 1: Interactive UI workflows
By embedding native chat UI components directly into your SKILL.md instructions, you transform your agent from a passive text parser into an active technical interviewer with a delightful user experience. Here is what you will get out of this deep dive: How to use Google Antigravity interactive UI Primitives. Round-trip state hydration for user selections with grounding. Practical design rules…
The article discusses the process of elevating Antigravity agent skills through interactive UI workflows. By embedding native chat UI components directly into agent instructions, the agent transforms from a passive text parser to an active technical interviewer with a pleasant user experience. The author outlines the anatomy of an interactive skill in Antigravity, where agent capabilities are packaged as skills containing a SKILL.md file with YAML frontmatter for discovery and Markdown instructions for execution.
Upon encountering explicit instructions to invoke the ask_question tool, the agent suspends execution and renders a native, interactive UI modal in the chat window. This tool invocation bridges the gap between agent autonomy and human-in-the-loop (HITL) alignment, presenting structured radio buttons, checkboxes, and write-in fields to eliminate repetitive questioning across sessions and subagents.
The article also explains the agent's lifecycle, including workspace state hydration, interactive UI rendering, selection processing with fallbacks, and state persistence.
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