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This skill enforces best practices for managing Go modules, focusing on stability, security, and maintainability. It guides users through essential workflows like dependency addition, safe upgrading (e.g., patch updates), cleanup (go mod tidy), and critical vulnerability scanning (govulncheck). Use this when initializing, updating, or auditing a Go project's dependency tree to ensure supply chain safety.

This skill automatically modernizes Go codebases by identifying and replacing outdated patterns, deprecated APIs, and non-idiomatic code. It conducts comprehensive scans across language features, standard library upgrades, testing patterns, and tooling (including running lint checks). It ensures the codebase adheres to the latest Go best practices, improving safety, correctness, and readability for modern Go versions.

Defensive Golang guidance for avoiding panics, nil traps, append aliasing, overflow, float comparison bugs, and resource leaks. Useful for writing safer code and reviewing runtime risks.

This library provides powerful monadic types, including Option, Result, and Either, for Go. It enhances type safety by replacing manual nil checks with type constraints and transforming verbose error handling into composable pipelines. It is essential for adopting modern functional programming patterns and building robust, resilient Go applications.

Provides the Google Model Armor CLI to filter user-generated content and run template-guided sanitization for prompts or responses, helping teams enforce safety policies during automation workflows and schema-driven inspections.

Creates a new Google Model Armor template via `gws modelarmor +create-template`, requiring project, location, and template ID, with optional preset or JSON payload; aimed at bootstrapping safety filters before sanitization commands.

Sanitize user prompts through Google Model Armor templates via the gws CLI command, ensuring outbound safety and supporting stdin, text, or explicit JSON inputs for prompt filtering.

Sanitize Google Model Armor responses via CLI templates to ensure outbound safety before delivering model output to end users.

Provides shared GWS CLI behaviors for authentication, global flags, formatting, pagination, and safety patterns, plus zsh tips and community guidance for safely scripting workspace workloads.

This comprehensive guide outlines best practices for developing high-quality, idiomatic, and maintainable enterprise applications using Kotlin and Spring Boot. It covers architectural patterns, dependency injection using primary constructors, managing state with data classes, implementing robust RESTful APIs, handling transactions, and leveraging Kotlin features like null safety and Coroutines for asynchronous programming. It also provides guidance on modern testing strategies (Kotest, Testcontainers).

This comprehensive guide outlines essential best practices and structural checks for developing robust Salesforce Apex code. It covers critical areas such as preventing governor limit exceptions (e.g., bulk safety), enforcing security (CRUD/FLS), preventing SOQL injection, adhering to sharing models, and implementing modern Apex idioms. It also mandates rigorous testing strategies (Positive, Negative, Bulk) and proper trigger architecture.

A comprehensive guide detailing best practices for building, reviewing, and deploying Salesforce Flows. This skill covers selecting the correct Flow type (e.g., Screen, After-Save), ensuring bulk safety by preventing DML/SOQL in loops, implementing robust fault handling paths, and performing automation density checks to ensure scalable and resilient automation.