Skill UI

Deploy and manage Google Kubernetes Engine clusters with standard and autopilot modes, node pools, workload identity, and ingress. For teams running containerized workloads on GCP.

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.

Generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK. Supports video editing, style transfer, inpainting/outpainting, and interpolation.

Generate and edit images and videos using Google's Gemini media models (Nano Banana 2/Pro, Gemini Omni Flash) with cost-approval gates, reference-image support, and detailed logging per call. Supports on-brand generation from reference sets and multi-image fusion for consistent character series.

Audit and optimize websites for platform-specific AI search engines including Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot. Provides per-platform checklists, scoring rubrics, and action items to improve visibility and citation rates in generative engine optimization (GEO). Requires network access for site audits; PDF reports need pandoc and headless Chrome.

Generate professional PDF reports from GEO audit markdown files using pandoc and headless Chrome. Extracts metadata like brand name, domain, GEO score, and creates color-coded score tables with severity-tagged finding sections. Ideal for client deliverables in SEO and Generative Engine Optimization projects. Requires pandoc and Google Chrome installed.

Lightweight Gmail integration with standalone OAuth authentication. No MCP server required. Supports search, read, send, draft, and label operations via CLI, ideal for automating inbox workflows for Google Workspace accounts.

Read and edit Google Docs through an available authenticated connector or reviewed API integration, with scoped changes and read-back verification. This skill provides instructions for safe document operations, including reading structure, applying targeted edits, and verifying results. It emphasizes authorization, revision preconditions, and avoiding duplicate inserts. Suitable for users who need to automate document content updates while maintaining data integrity and security.

Design Google Forms and wire Apps Script onFormSubmit triggers for email alerts, spreadsheet logging, and conditional handling — no custom integration or code editor setup required.

Generate images with Google Gemini's image model straight from a Claude Code session. Create UI placeholders, icons, documentation illustrations, diagrams and concept visuals, saved locally as PNG files with a returned file path.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.

This skill provides a comprehensive audit framework and optimization strategy for local SEO, specifically tailored for law firms, attorneys, and legal/professional service providers. It focuses on maximizing local visibility by optimizing Google Business Profiles (GBP), establishing critical E-E-A-T signals, and ensuring directory consistency. Use this when aiming to improve ranking in local Google packs, maps, and specialized legal directories.