Skill UI

Generate production-ready Google Cloud code examples across ADK agents, Genkit workflows, Vertex AI, and Gemini multimodal patterns, complete with IaC, monitoring, security, and deployment guidance for turnkey execution.

Provides a full Elite Coder and UX workflow tailored to Gemini 3.1 Pro High, covering rapid planning, solid architecture, TDD implementation, production-grade code, visual validation, and verification for pixel-perfect, token-efficient deliveries.

Runs external LLM CLIs (OpenAI Codex or Google Gemini) to review uncommitted changes, branch diffs, or specific commits, providing an independent second opinion before merges or releases.

Guides engineers through integrating Google Gemini API into Node.js, Python, or browser projects by covering setup, model selection, streaming, multimodal inputs, function calling, production best practices, and troubleshooting.

Guides static reviews of GitHub Actions workflows that invoke AI coding agents, teaching how to find workflow files, trace composite actions, capture security-relevant settings, and detect attacker-controlled data paths to agents in CI/CD pipelines.

Curated collection of 25 advanced engineering agent skills for Claude Code, Codex CLI, Gemini CLI, Cursor, and OpenClaw, covering agent design, RAG, MCP servers, CI/CD, database architecture, observability, security auditing, release management, and platform operations to streamline complex architecture and automation.

Analyzes Antigravity AI coding sessions stored in ~/.gemini/antigravity/brain/, classifies scope deltas, rework patterns, root causes, hotspots, and recommends prompt and health improvements.

Build an AI-powered agent that monitors any public source, batches Gemini Flash enrichment, stores outputs in Notion/Sheets/Supabase, and improves via feedback while running for free on GitHub Actions to automate data tracking.