Skill UI

Trackio is an essential library for logging, visualizing, and analyzing machine learning training experiments. It provides multi-interface support: a Python API for real-time metric logging and alert firing during training; a Command Line Interface (CLI) for retrieving historical metrics and alerts; and synchronization capabilities to Hugging Face Spaces for persistent dashboards. This tool is crucial for debugging, diagnosing training issues (like loss spikes), and automating ML workflow iteration.

A comprehensive collection of agent skills for rigorously auditing digital interfaces and user flows. It evaluates designs against 168 research-backed UX/UI principles, detects common design antipatterns, and provides specialized review for AI-powered interfaces, ensuring adherence to modern best practices.

Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Covers REST/GraphQL endpoints, type contracts, error semantics, validation, and extensibility principles.

A comprehensive skill for generating non-generic, professional frontend interfaces, perfect for landing pages, portfolios, and product redesigns. This agent enforces a strict design methodology: reading the user's brief (audience, vibe, constraints) first, configuring global design dials (variance, motion, density), and recommending real, industry-standard design systems (like Material or Fluent UI) to ensure the output is always polished and contextually appropriate.

This skill focuses on building production-quality, accessible, and responsive user interfaces. It involves creating components, implementing layouts, and managing state while adhering to design systems and WCAG standards. The goal is to avoid generic AI aesthetics and ensure the UI looks like it was built by a professional engineer. It covers component architecture, state management strategies, and design system adherence for high-quality web applications.

A comprehensive guide for building robust, professional Go Command Line Interfaces (CLIs). Learn the industry-standard approach using Cobra for command structure and Viper for advanced configuration layering (flags, env vars, config files). Covers command organization, flag validation, argument handling, and best practices for Unix-like tools.

A comprehensive guide to Go (Golang) naming conventions. It covers best practices for packages, structs, interfaces, constants, errors, and more. Use this skill when writing, reviewing, or refactoring Go code to ensure idiomatic and clear naming that follows Go standards (e.g., MixedCaps, constructor rules, error handling).

A comprehensive guide to advanced design patterns in Go, focusing on writing highly testable and clear code. It covers principles like keeping interfaces small and composable, defining contracts where they are consumed, preferring concrete return types, utilizing generics over 'any', and mastering the use of struct embedding and field tags for serialization.

Command-line interface for managing Google Calendar resources via the gws tool, covering calendars, events, ACLs, settings, free/busy lookups, and helper commands for quick event creation or agenda views.

Command-line interface for Google Classroom that orchestrates courses, rosters, coursework, invitations, and grading-period settings through the gws tool for teachers and admins.

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

Guidelines for crafting industrial brutalist interfaces that merge Swiss print and military terminal aesthetics, emphasizing rigid grids, stark typography, utilitarian color, and analog degradation for data-heavy dashboards or editorial sites.