Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.
This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Antigravity's capabilities with specialized knowledge, workflows, or tool integrations.
This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integrating with slash commands and code review processes.
This skill manages Git worktrees for isolated parallel development. It handles creating, listing, switching, and cleaning up worktrees with a simple interactive interface, following KISS principles.
Use this agent when you need to research and gather external best practices, documentation, and examples for any technology, framework, or development practice. This includes finding official documentation, community standards, well-regarded examples from open source projects, and domain-specific conventions. The agent excels at synthesizing information from multiple sources to provide comprehensive guidance on how to implement features or solve problems according to industry standards. <example>Context: User wants to know the best way to structure GitHub issues for their Rails project. user: "I need to create some GitHub issues for our project. Can you research best practices for writing good issues?" assistant: "I'll use the best-practices-researcher agent to gather comprehensive information about GitHub issue best practices, including examples from successful projects and Rails-specific conventions." <commentary>Since the user is asking for research on best practices, use the best-practices-researcher agen
Use this agent PROACTIVELY when design work isn't coming together on the first attempt. If you've made 1-2 design changes and the result still feels off, suggest using this agent with 5x or 10x iterations for deeper refinement. This agent takes screenshots, analyzes what's not working, implements improvements, and repeats N times to systematically fix design issues. Perfect when colors feel wrong, layouts aren't balanced, or the overall aesthetic needs work that single changes can't achieve. <example>Context: User asks to change button color but result still looks off. user: "Change the button to blue" assistant: [makes change, takes screenshot] "The button is now blue, but I notice the overall color balance still feels off. Would you like me to use the design-iterator agent with 5 iterations to systematically improve the color harmony and visual balance?" <commentary>PROACTIVE USE: After a simple change doesn't fully resolve the design issue, suggest the design-iterator to do deeper work.</commentary></examp
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.