Deep Research Agent
FeaturedAutonomous research skill that investigates topics, synthesizes findings, and produces comprehensive reports.
Google's next-generation agent platform replacing Gemini CLI with enhanced multi-agent capabilities.
Antigravity CLI (invoked as 'agy') is Google's successor to Gemini CLI, announced at Google I/O 2026. Built in Go for performance, it retains core Gemini CLI features including Agent Skills, Hooks, Subagents, and Extensions (now as plugins). Antigravity represents a shift from terminal assistant to full agent-first development platform with multi-agent orchestration, autonomous planning, and enterprise-grade security controls. It integrates deeply with Google Cloud services and the broader Antigravity ecosystem including Antigravity IDE.
Autonomous research skill that investigates topics, synthesizes findings, and produces comprehensive reports.
Generates complete full-stack applications with proper architecture, testing, and deployment configs.
Designs and implements comprehensive test suites with unit, integration, and e2e coverage strategies.
Creates optimized database schemas with migrations, indexes, and relationship modeling.
Generates OpenAPI specs, SDK docs, and interactive API references from your codebase.
Performs comprehensive security audits identifying vulnerabilities, misconfigurations, and compliance gaps.
Automates git operations including smart commits, branch management, PR creation, and changelog generation.
Generates Terraform, Pulumi, and CloudFormation templates from architecture descriptions.
Analyzes and optimizes application performance including bundle size, load times, and runtime efficiency.
Coordinates multiple AI agents for complex tasks with planning, delegation, and verification workflows.
Automates Firebase project setup, configuration, deployment, and management from the terminal.
Produces clear technical documentation, ADRs, RFCs, and runbooks following industry standards.
Generates accessible, well-tested React components with Storybook stories and documentation.
Creates Helm charts, manages Kubernetes deployments, and handles cluster operations.
Designs and implements ETL/ELT pipelines with schema validation and error handling.
Crafts optimized prompts with chain-of-thought reasoning, few-shot examples, and structured outputs.
Creates production-ready Docker configurations with multi-stage builds and compose orchestration.
Designs type-safe GraphQL schemas with resolvers, dataloaders, and subscription support.
Manages monorepo tooling including workspace configuration, dependency management, and build orchestration.
Performs WCAG 2.2 compliance audits with automated fixes and screen reader compatibility checks.
Routes web search queries through Gemini with Google Search grounding for accurate, cited results.
Builds machine learning pipelines with data preprocessing, model training, evaluation, and deployment.
Creates GitHub Actions, GitLab CI, and Cloud Build pipelines with caching and parallel jobs.
Identifies code smells and applies systematic refactoring patterns to improve code quality.
AI-powered image generation and frontend design skills for creating visual assets and UI mockups.