Skill UI

A comprehensive guide to best practices for managing dependencies in Go projects. It covers the use of go.mod, go.sum, and essential commands like go mod tidy and govulncheck to ensure secure, stable, and reproducible builds. Use this skill when adding, upgrading, removing, or auditing external Go modules to maintain project integrity.

A comprehensive guide and skill for generating and auditing high-quality technical documentation for Go projects. It covers writing accurate godoc comments, READMEs, CONTRIBUTING, and CHANGELOGs for both libraries and CLIs, adhering to professional best practices. Supports multi-agent orchestration for large-scale codebases.

A comprehensive guide to achieving high code quality in Go projects using `golangci-lint`. This skill covers the entire development lifecycle, including setting up the essential `.golangci.yml` configuration, running automated linters (style, security, complexity), automatically fixing issues, interpreting detailed lint output, and correctly suppressing false positives using `//nolint` directives. Ideal for enforcing best practices in CI/CD pipelines and maintaining legacy codebases.

This skill acts as an expert guide for selecting the optimal Go libraries and frameworks. It prioritizes production readiness, simplicity, and leveraging the standard library first. Use it when comparing alternative dependencies, vetting core functionality (web, database, testing), or choosing the best architectural approach for a new Go project.

A comprehensive guide for structuring robust Go applications, covering best practices for new projects, from CLI tools to complex microservices and monorepos. It details directory conventions (cmd, internal, pkg), naming rules, adopting 12-Factor App principles, and choosing appropriate architectures (Clean, DDD, Hexagonal).

Provides a comprehensive guide to the `stretchr/testify` library for Go testing. It covers essential features like readable assertions (assert/require), mocking dependencies, setting up test suites, and advanced patterns (e.g., JSONEq, Eventually). Use this when writing robust unit tests, ensuring failures are self-explanatory, and managing complex test lifecycles in Go projects.

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.

Command-line interface for `gws script` that manages Google Apps Script projects, deploys versions, inspects processes, and updates content in productivity-focused workflows.

CLI helper that uploads local Apps Script assets (.gs, .js, .html, appsscript.json) to a project via `gws script +push`, replacing every file while skipping hidden folders and node_modules; specify the target script ID and optional directory.

This mode simulates a P9 Tech Lead role, specializing in strategic project management and complex task orchestration. It does not write code itself, but focuses on generating detailed, structured Task Prompts (six elements) and managing the entire workflow delivery from multiple specialized agents (P8 teams). Ideal for coordinating large, complex projects requiring strategic decomposition and coordination of three or more parallel agents.

A comprehensive skill guide for designing, implementing, and running robust End-to-End (E2E) and integration tests in Flutter projects using Patrol 4.x. Use this to validate complex user journeys, capture UI regressions, and test native interactions (permissions, system dialogs) across multiple platforms (Android, iOS, Web).

Operates as a project manager persona that coordinates tasks, meetings, and document sharing across GWS apps, using workflows, Sheets updates, Drive uploads, and Gmail announcements to keep teams aligned.