Skill UI

This skill guide is essential for building advanced applications using Gemini and Gemma 4 hosted models. It covers working with multimodal content (text, images, audio, video), implementing complex features like function calling and structured output. It provides up-to-date SDK usage examples for Python, JavaScript, Go, and Java, ensuring developers use the latest, recommended API standards.

Transforms OpenAPI specifications into comprehensive, interactive documentation sites. This skill generates runnable code examples (cURL, Python, JS, Go), detailed authentication guides, error references, and supports versioning. It is crucial for building professional developer portals that guide users through API usage seamlessly.

This skill generates robust, type-safe client Software Development Kits (SDKs) for multiple languages (including Python, TypeScript, Go, and Java) directly from OpenAPI 3.0+ specifications. It automatically handles complex API patterns such as authentication (Bearer, OAuth2), automatic retries with exponential backoff, and sophisticated pagination helpers. Use this when you need to create standardized, idiomatic client libraries to consume a defined API contract across diverse development stacks.

Automatically generate thorough database documentation using database-documentation-gen, covering ERD diagrams, relationships, columns, indexes, triggers, procedures, and interactive HTML reports whenever you need schema insight for onboarding, reviews, or governance.

Generates ORM models and database schemas for frameworks like TypeORM, Prisma, Sequelize, SQLAlchemy, Django ORM, Entity Framework, and Hibernate, translating user requests into ready-to-use model code or schema definitions to accelerate backend development.

A comprehensive guide to building enterprise-grade AI applications using Firebase Genkit. This skill covers the full development lifecycle, including implementing advanced RAG systems, multi-step tool-calling agents, and complex workflows across Node.js, Python, and Go. It teaches best practices for schema validation (Zod/Pydantic), robust error handling, OpenTelemetry tracing, and deploying reliably to Firebase Functions or Cloud Run.

A comprehensive guide to Generative Engine Optimization (GEO), shifting content strategy from traditional SEO (Google ranking) to maximizing citation rates within AI search platforms like ChatGPT, Claude, and Perplexity. Learn how to structure content, build authority, and incorporate schema to be the preferred source for large language models.

Validates Vertex AI Agent Engine GitHub Actions workflows, enforcing Workload Identity Federation, least-privilege IAM, OIDC permissions, and security scanning so GCP deployments stay automated and secure.

Analyzes local git branches and worktrees, groups related prefixes, verifies merges or squash history, and safely prompts before deleting merged, superseded, or gone branches. Use when stale local branches and worktrees need cleanup without affecting remote.

Automates GitLab epic creation guidance within enterprise workflows, offering best-practice steps, production-ready code samples, and validation for governance, compliance, and integration scenarios.

A comprehensive guide detailing how to implement declarative, Git-based continuous delivery for Kubernetes. It covers setup using industry-leading tools like ArgoCD and Flux CD, adhering to OpenGitOps principles for automated, reliable, and traceable application deployments and infrastructure management.

A comprehensive guide to production-grade concurrency patterns in Go. It details the proper use of goroutines, channels, sync primitives, and context management. Use this skill when building highly concurrent applications, implementing worker pools, managing goroutine lifecycles, or debugging race conditions in Go.