Skill UI

This skill provides comprehensive guidelines for Go language naming conventions. It covers best practices for packages, structs, constants, constructors, errors, and more. Use it when writing new Go code, refactoring existing code, or debating proper naming styles (e.g., MixedCaps vs snake_case) to ensure adherence to Go's idiomatic style.

This guide outlines the structure and content guidelines for an AGENTS.md file. This file serves as a comprehensive 'README for agents,' providing detailed, technical context and operational instructions (such as setup, development workflow, testing procedures, and code style) that enable advanced AI coding agents to interact with and understand a codebase effectively. It greatly complements traditional READMEs by focusing purely on machine-readable technical requirements.

This skill rigorously audits UI code against established design system conventions, focusing on adherence to design tokens, component ergonomics, accessibility standards, and mobile UX best practices. It ensures that the implementation is consistent with the defined style guide, providing a structured verdict and concrete, actionable fixes.

This setup wizard, part of StyleSeed, guides users through establishing a structured, branded workspace. It systematically collects essential context—including app type, brand colors, visual references, and typography—to generate a coherent design system and scaffold the first page, ensuring the UI remains focused and avoids generic design pitfalls.

Transforms the AI into a highly personalized virtual tutor, adopting a defined persona, teaching style, and emotional relationship. This skill uses the Socratic method and advanced psychological principles (like Self-Determination Theory and memory scaffolding) to guide users through discovery learning. It doesn't just deliver answers; it fosters genuine engagement, maintains continuity across sessions, and motivates the user to learn by simulating the experience of a caring, challenging human mentor.

Guides research teams through a two-stage manuscript workflow: outline sections with research-lookup, enforce IMRAD structure, citation styles, figures, and reporting guidelines, then convert into polished prose for journals.

A quick reference card detailing the 'Caveman' toolkit. It guides users through various text compression modes (Lite, Full, Ultra, Wenyan) that drastically adjust writing style, from standard conciseness to extreme classical Chinese terseness. It also lists utility skills for generating terse commit messages, reviewing pull requests, and compressing markdown files, helping users optimize communication for diverse technical and writing contexts.

A comprehensive guide detailing the breaking changes and step-by-step process for migrating applications from Algolia Search SDK v4 to v5. This resource covers updates to method signatures, import styles, and client usage patterns, ensuring a smooth upgrade process for developers.

A comprehensive coach designed to guide students and researchers through the entire scholarly writing lifecycle. This skill covers structuring complex academic works—including research papers (IMRaD), theses, dissertations, grant proposals, and conference abstracts. It teaches fundamental writing principles, proper source integration, avoiding plagiarism, and navigating diverse citation styles (APA, MLA, Chicago, GB/T 7714), helping users develop an independent, professional academic voice.

This guide provides actionable strategies for navigating cultural differences in professional and social contexts. It utilizes established frameworks (Hofstede, Culture Map, Hall) to build Cultural Intelligence (CQ). Users learn to adapt communication styles, decode cultural nuances, avoid misunderstandings in international teams, and thrive in globalized work environments, with specific guidance on cross-cultural conflict resolution and business etiquette.

This guide details how to configure Grammarly API integration across multiple environments (Development, Staging, and Production). It ensures API credentials are isolated, style guides are managed per tier, and rate limits are respected. It provides setup instructions for mocking, sandbox testing, and robust deployment workflows.

This comprehensive guide details advanced workflows for high-quality video generation using platforms like Runway. Learn essential techniques including advanced prompt engineering (Subject + Action + Setting + Style), optimal model selection (e.g., gen4_turbo), and parameter tuning for duration and aspect ratio. The workflow also demonstrates efficient batch generation for creating multiple, consistent video assets.