Skill UI

Evaluate page content for usefulness, E-E-A-T signals, readability, thinness, and AI citation readiness. Includes last-mile draft cleanup such as AI-typical phrasing and invisible Unicode watermarks. Content-only analysis, not full-page technical checks.

This pipeline provides an automated solution for processing raw Indicators of Compromise (IOCs) from various sources, including IPs, domains, URLs, and emails. It performs crucial steps such as normalization, deduplication, and defanging (modifying indicators to prevent accidental execution while preserving readability). The final, processed data is converted into the standardized STIX 2.1 format and can be securely distributed via TAXII servers or MISP instances, streamlining threat intelligence sharing.

A comprehensive guide detailing how to refactor large, complex SwiftUI views into smaller, more stable, and explicit components. It emphasizes adopting a lightweight state approach (favoring local state and environment variables over excessive view model layers) to improve data flow, readability, and overall code maintainability in modern iOS development.

This skill provides a comprehensive, dual-engine audit for content, covering both Search Engine Optimization (SEO) and Answer Engine Optimization (AEO), along with readability metrics. It generates detailed scores (out of 100) and provides a severity-ranked list of issues (Critical, Important, Polish) with specific, actionable fix instructions. Use it before publishing to ensure content achieves optimal search performance and high engagement.

A comprehensive guide to idiomatic Go programming style and code clarity. This skill addresses best practices for line breaking, variable declaration intent, control flow structure (e.g., early returns, switch usage), and function design principles. Use it when writing, reviewing, or establishing project-wide coding standards to ensure maximum readability and maintainability.

This skill acts as a comprehensive Go modernization engineer, scanning entire codebases to update outdated patterns, deprecated APIs, and standard library usage. It utilizes multi-agent orchestration to check language features, testing patterns, and tooling/infra, ensuring the codebase adheres to the latest Go idioms for maximum safety and readability. Ideal for CI/CD pipelines or large-scale code reviews.

A library providing type-safe monadic abstractions for Go, including Option, Result, and Either. It allows developers to eliminate nil pointer risks and manage complex error handling using composable, functional pipelines, significantly improving code robustness and readability in Go applications.

Conducts multi-dimensional code review with quality gates before merging any change. Evaluates correctness, readability, architecture, security, and performance, and proposes concrete structural remedies for flagged problems.

Generate structured specification files optimized for Generative AI consumption. Define requirements, constraints, and interfaces clearly using standardized Markdown templates. Ensure machine-readability and self-containment for effective AI processing and implementation.

Shows how to apply the Extract Method refactoring in Java to improve readability, modularity, and testability by isolating reusable behaviors from complex methods while preserving the original functionality.

This skill focuses on the 'Remove Parameter' refactoring pattern specific to Java development. It teaches systematic techniques to analyze methods and identify unused or redundant parameters. By applying this refactoring, developers can significantly improve code readability, enhance maintainability, reduce coupling, and simplify method signatures while preserving original functionality and logic.

Guides a Power BI DAX expert through performance, readability, best-practice, and maintainability reviews; recommends variable reuse, context tuning, and error handling; then outputs an optimized formula plus justification for analytics models.