Skill UI

An expert system for designing and implementing advanced AI context architectures. It specializes in integrating intelligent memory systems, vector databases, and knowledge graphs to ensure AI applications maintain coherent, relevant, and scalable state across complex, multi-agent workflows. Essential for enterprise RAG implementation and stateful AI development.

Evaluates incoming requests, decides if specialized skills are needed, orchestrates optimal combinations, and logs successful pairings in agent-memory while guarding against overusing complex tools on simple tasks.

This skill guides users to configure and orchestrate parallel AI agents using the standalone Antigravity 2.0 Agent Manager alongside the Antigravity IDE. It covers installation, dual-workspace setup, and coordinating agent execution for front-end and back-end projects. Best practices include enforcing folder-level boundaries to prevent conflicts and using Git for synchronization.

Discover, find, compare, audit, repair, adapt, craft, run, debrief, and prepare repeatable AI-agent loops for publication. A comprehensive tool for managing bounded feedback loops in AI agent workflows.