Generate Gantt charts for construction scheduling. Create visual project timelines with dependencies and progress tracking.

A skill to track progress on implementing system design patterns from the ByteByteGo gap analysis.

Onboard company employees (Claude Code CLI users) to use gapless-crypto-clickhouse package with ClickHouse Cloud credentials. Use when company employee needs to set up ClickHouse Cloud access, mentions first-time setup, credential configuration, connection testing, or troubleshooting ClickHouse Cloud connections.

Transform rough ideas into clear, engaging writing using Gary Provost's rhythm and structure principles. Use when the user needs help writing emails, tweets, scripts, sales copy, articles, or any content where readability, flow, and digestibility matter. Ideal for entrepreneurs and content creators who want to turn ideas into professional writing without sounding robotic or over-polished. Apply when the user asks for help writing, editing for clarity, improving pacing, or making content more engaging.

Enables comprehensive Linux system diagnostics using GASP's AI-optimized monitoring output. Actively fetches metrics from hosts and provides intelligent analysis with context-aware interpretation.

Gate 1 validation: API specification quality checks

Gate 3 validation: Implementation quality and type safety

Verify before claiming completion.

Create gateway classes that integrate external services following Protocol interfaces, proper abstraction, and clean architecture separation of concerns.

Use when creating PRDs or PRPs to populate the Gotchas/Prior Failures section. Reads learning files from memory/learnings and matches entries based on file paths, keywords, or tags. Returns curated list suitable for PRD/PRP insertion.

Collect and classify work items at the start of a collab session. Invoked by collab skill after creating a new session.

The drum sounds. Bloodhound, Elephant, Beaver, Raccoon, Deer, Fox, and Owl gather for complete feature development. Use when building a full feature from exploration to documentation.

The drum sounds. Spider and Raccoon gather for complete security work. Use when implementing auth or auditing security end-to-end.

The drum sounds. Chameleon and Deer gather for complete UI work. Use when designing interfaces that must be both beautiful and accessible.

Expert research tool for Google Calendar API implementations. PROACTIVELY use when (1) reviewing PRs adding calendar features, (2) planning new event/attendee/recurring event functionality, (3) investigating calendar API issues, (4) validating timezone handling or batch operations. Specializes in recurring events, timezone conversions, multi-calendar support, and edge case identification.

mastering-gcloud-commands

Guide for implementing Google Cloud SDK (gcloud CLI) - a command-line tool for managing Google Cloud resources. Use when installing/configuring gcloud, authenticating with Google Cloud, managing projects/configurations, deploying applications, working with Compute Engine/GKE/App Engine/Cloud Storage, scripting gcloud operations, implementing CI/CD pipelines, or troubleshooting Google Cloud deployments.

Running batch inference on Google Cloud (also known as Vertex AI)

Game Design Document creation and structure. Use when no GDD exists in the project, starting a new game project, major feature requires design documentation, GDD needs updating due to changes, or preparing for prototype or production.

Analyzes worker pain points to identify missing skills and create skill proposals. Use during playtest GDD review phase when workers report repeated struggles with specific patterns, retrospective pain points indicate missing knowledge, questions about implementation approaches recur, or technical decisions are delayed due to uncertainty.

Integration with thermite-design skill for structured game design sessions. Use when user mentions thermite, design session, creative team, retreat, running GDD creation sessions, generating design artifacts, updating decision logs, simulating creative team discussions, validating against design pillars, or brainstorming new features.

Playwright-based game playtesting and design validation. Use when validating implementation against GDD, testing gameplay mechanics, capturing screenshot evidence, performing game state detection via Vision MCP, or conducting visual GDD compliance validation.

Load GDD context for an issue (assessment + node resolution + pattern awareness)

This skill should be used when analyzing codebases, applications, databases, or systems for GDPR (General Data Protection Regulation) compliance. Use this skill when users need to audit data protection practices, identify potential compliance issues, assess data handling procedures, review privacy policies, or ensure adherence to EU data protection requirements.

Gel (formerly EdgeDB) graph database schema design and querying. Use when designing Gel schemas, writing SDL, or querying with EdgeQL.

Port Ruby gems with native C extensions to Fil-C. Use when fixing gem compilation errors, VALUE/int type mismatches, rb_attr/rb_protect issues, or using ast-grep for Ruby C extensions.

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.

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).

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 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).

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

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.