What problem does it solve? Building autonomous AI agents and multi-agent systems with the Google Antigravity (AGY) SDK requires navigating configuration, safety policies, MCP integration, hooks, and debugging workflows. This Skill provides structured guidance and runnable examples so you can create, configure, and orchestrate Antigravity agents correctly without guessing APIs or model identifiers. ## Core Features & Use Cases - Agent Configuration & Personas: Set up LocalAgentConfig, system instructions, custom tools, structured output, and persistence with verified code patterns. - Safety & Observability: Configure declarative safety policies (allow/deny/ask), track token usage, and debug failures using lifecycle hooks and logging. - MCP & Multi-Agent Orchestration: Connect agents to MCP servers via stdio or SSE, spawn subagents, and build proactive agents with time-based or file-change triggers. - Use Case: You want to build an agent that connects to an external MCP server, restricts shell command execution, and recovers gracefully from tool errors. This Skill routes you to the exact reference guide and working example for each requirement. ## Quick Start Ask the agent to create a Google Antigravity agent with a custom tool and safety policies, and it will set up the environment, verify your GEMINI_API_KEY, and generate the working configuration code.