Setup and manage Gemini CLI authentication methods including OAuth, API keys, and Vertex AI. Use when configuring Gemini access, switching auth methods, or troubleshooting authentication issues.

Interactive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence. Use for extended AI conversations, brainstorming, or collaborative problem-solving.

Dual-AI engineering loop orchestrating Claude Code (planning/implementation) and Gemini (validation/review). Use when (1) complex feature development requiring validation, (2) high-quality code with security/performance concerns, (3) large-scale refactoring, (4) user requests gemini-claude loop or dual-AI review. Do NOT use for simple one-off fixes or prototypes.

Google Gemini CLI orchestration for AI-assisted development. Capabilities: second opinion/cross-validation, real-time web search (Google Search), codebase architecture analysis, parallel code generation, code review from different perspective. Actions: query, search, analyze, generate, review with Gemini. Keywords: Gemini CLI, second opinion, cross-validation, Google Search, web research, current information, parallel AI, code review, architecture analysis, gemini prompt, AI comparison, real-time search, alternative perspective, code generation. Use when: needing second AI opinion, searching current web information, analyzing codebase architecture, generating code in parallel, getting alternative code review, researching current events/docs.

Single source of truth and librarian for ALL Gemini CLI documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Gemini CLI documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.

Expert guide for executing the Google Gemini CLI in non-interactive and headless modes. Covers command syntax, piping input, output handling, and automation patterns. Use when running gemini commands, piping context to Gemini, scripting Gemini workflows, or using interactive shell mode. Delegates to gemini-cli-docs for official command references.

Run Gemini CLI commands from Claude with correct Node version. Use when user asks to run Gemini CLI, test Gemini traces, or debug Gemini telemetry.

Google Gemini CLI fundamentals for code analysis, review, and validation. Use when (1) executing gemini commands for code review/analysis, (2) configuring models (gemini-3-flash-preview (default)/gemini-3-pro-preview (complex only)), output formats (text/json/stream-json), or sandbox modes, (3) managing Gemini sessions with /chat save/resume, (4) integrating Gemini into automation scripts and CI/CD pipelines. Do NOT use for orchestration patterns (use gemini-claude-loop instead).

Use Gemini CLI's 1M token context to understand entire codebases in one pass. Full architecture mapping, pattern discovery, and onboarding documentation.

Expert guide for configuring Google Gemini CLI. Covers global vs project settings.json, Trusted Folders, Policy Engine, and environment variables. Use when configuring Gemini settings, managing trusted folders, setting up security policies, or troubleshooting configuration precedence. Delegates to gemini-cli-docs for official references.

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Guide for implementing Google Gemini API document processing - analyze PDFs with native vision to extract text, images, diagrams, charts, and tables. Use when processing documents, extracting structured data, summarizing PDFs, answering questions about document content, or converting documents to structured formats. (project)

A specialized skill for frontend development tasks using the Gemini CLI. It leverages Gemini's multimodal capabilities for generating UI code (React, Tailwind CSS) from descriptions or images (screenshots).

Create distinctive, production-grade frontend interfaces using Gemini 3 Pro for design ideation. Use this skill when you want Gemini's creative perspective on web components, pages, or applications. Generates bold, polished code that avoids generic AI aesthetics.

Delegiere Aufgaben an Gemini CLI im Headless-Mode. Nutze fuer Dokumentation, Code-Reviews, Analysen oder wenn der User /gemini aufruft. Nutzt Google Subscription (KEIN API Key). Auto-Accept mit -y Flag.

Generate consistent medieval manuscript-style illustrations for the Scholastic Bible using Gemini Imagen. Use when creating images, illustrations, artwork, or visuals for Bible pages, parables, book headers, chapter art, or any visual content for the site.

Generate high-quality images from text prompts using Google's Gemini and Imagen models through executable scripts.

Invoke Google Gemini 3 Pro for text generation, reasoning, and code tasks using the Python google-genai SDK. Supports gemini-3-pro-preview (best multimodal), gemini-2.5-pro (reasoning), and gemini-2.5-flash (fast).

This skill transforms Claude Code into a pure **manager/architect role**. Claude Code does NOT write code. Claude Code drives Gemini CLI to do ALL implementation work.

Expert guide for Model Context Protocol (MCP) integration with Gemini CLI. Covers MCP server configuration (HTTP, SSE, Stdio), connection management, and tool permissions. Use when adding MCP servers to Gemini, configuring transports, troubleshooting MCP connections, or managing tool permissions. Delegates to gemini-cli-docs.

Manage MCP (Model Context Protocol) servers with Gemini CLI for extended tool capabilities, custom integrations, and enterprise workflows. Use when integrating external tools, databases, or APIs with Gemini.

Synchronization patterns for CLAUDE.md and GEMINI.md memory files. Covers import syntax, drift detection, and one-way sync. Use when setting up GEMINI.md, detecting context drift between memory files, understanding @import syntax, or troubleshooting sync issues.

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[CLAUDE CODE ONLY] Leverage Gemini CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, alternative approaches, and holistic codebase analysis. Requires terminal access to execute Gemini CLI commands. Use when making high-stakes decisions, reviewing complex architecture, analyzing large codebases (1M token context window), or when explicitly requested for a second AI perspective. Must be explicitly invoked using skill syntax.

Central authority for Gemini CLI sandboxing and isolation. Covers Docker, Podman, macOS Seatbelt profiles, and security boundaries. Use when enabling sandboxing, choosing sandbox methods, configuring Seatbelt profiles, or troubleshooting sandbox issues. Delegates 100% to gemini-cli-docs for official documentation.

gemini-system

Use when delegating coding tasks to Gemini CLI agent, when you need parallel AI execution, or when tasks benefit from Gemini's 1M+ context window - orchestrates Gemini via tmux since headless mode cannot write files

gemini-to-seedream-migration

Optimize token usage when delegating to Gemini CLI. Covers token caching, batch queries, model selection (Flash vs Pro), and cost tracking. Use when planning bulk Gemini operations.

Execute and manage Gemini CLI built-in tools including file operations, web search, shell commands, and memory. Use for automated workflows, tool orchestration, and safe execution patterns.

Generate natural-sounding speech from text using Gemini's TTS models through executable scripts with support for multiple voices and multi-speaker conversations.

Visual and front-end development assistant powered by Google Gemini 3. Use for UI analysis, design comparison, accessibility audits, color palette extraction, screenshot-to-code conversion, generating UI assets, and text-based design assistance from briefs.

Performs web searches using Gemini CLI headless mode with google_web_search tool. Includes intelligent caching, result validation, and analytics. Use when searching for current information, documentation, or when the user explicitly requests web search.

Central authority for Claude-Gemini shared workspace architecture. Defines directory structure, artifact exchange, and file naming conventions. Use when setting up dual-CLI workflows, deciding where to store AI artifacts, or managing cross-CLI file exchange.

Gemma Noise Detector (Prototype)

This skill provides the Gen Alpha/brainrot output style transformation rules and vocabulary. It is automatically loaded by the SessionStart hook to transform all Claude responses into Gen Alpha internet slang. Contains comprehensive glossary, transformation patterns, and examples.

Generate concise commit messages based on conversation context and minimal git inspection.

Creates, updates, or reviews a project's gen-env command for running multiple isolated instances on localhost. Handles instance identity, port allocation, data isolation, browser state separation, and cleanup.

Generic desktop notification skill for agents. Send desktop notifications when tasks are complete (or when user input/errors block progress). By default, assume that all jobs will require a notification unless the user says otherwise.

Generate videos using Google GenAI Veo 3.1 model via CLI. Use when the user asks to create videos, generate animations, make AI video content, do image-to-video transformations, interpolate between frames, or create cinematic shots with camera movement.

General software development practices including code review, testing strategies, and CI/CD integration. Use when implementing features, writing tests, setting up deployment pipelines, or conducting peer reviews.

Provides comprehensive code review feedback based on best practices, style guides, and potential bug detection. Use when the user requests a code review, asks for improvements to code, or needs to ensure code quality.

Create effective agent skills through guided briefing process that explores requirements, patterns, and best practices.

**Purpose:** Critical analysis and improvement of agent skills

**Purpose:** Strategic enhancement and functional evolution of agent skills

Generates test files following TDD patterns with Given-When-Then structure. Use when creating tests for domain logic, API endpoints, or repositories.

Generate changelog entries from git commits, plan files, or structured data. Use for version releases, creating CHANGELOG.md sections, or documenting changes between versions.

Generate a changeset file for the current changes following the changesets pattern used in the project.

Generate an end-to-end test for a given feature or user story. Use when the user asks to create E2E tests, automate workflows, test user flows, or convert manual workflows into Playwright tests. Leverages Playwright MCP to perform the workflow interactively before generating test code.

Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.