Skill UI

This skill covers core SEO principles like E-E-A-T, Core Web Vitals, and technical foundations. It explains how search engines evaluate content quality, page experience, and trustworthiness. It guides users on creating sustainable search visibility through high-quality content, proper technical setup, and ethical AI usage, rather than relying on shortcuts.

Comprehensive guidance for configuring and using ShellCheck to improve shell script quality, catch common pitfalls, and enforce best practices through static code analysis. Covers installation, configuration files, common error codes, and integration patterns.

This skill reviews code differences (diffs) to identify opportunities for improvement in clarity, reusability, efficiency, and overall quality. It employs multiple specialized sub-agents (e.g., Code Reuse, Efficiency, Quality) to audit changes. It can provide high-confidence, behavior-preserving fixes when requested, ensuring the code adheres to best practices without introducing regressions. Best used when refactoring, cleaning up, or auditing a specific code scope.

SkillCheck validates SKILL.md files against the agentskills specification and Anthropic best practices. It performs read-only checks on structure, semantics, naming, and quality to catch errors before publishing. The tool provides a score, grade, and detailed report with fix suggestions for critical issues to ensure high-quality skill authoring.

Skill Sentinel audits and evolves a skills ecosystem by analyzing quality, security, cost, governance, documentation, dependencies, and cross-skill duplication, then generates health reports, recommendations, and orchestrates assessments for teams managing multiple automations.

Analyzes sleep data to identify patterns, assess sleep quality, and provide personalized improvement suggestions. Supports correlation analysis with other health data such as mood and exercise.

This skill acts as a dedicated social media strategist and content writer, generating high-quality, engaging, and platform-optimized posts. It tailors content structure, tone, and style specifically for Instagram, LinkedIn, and Facebook, ensuring every post includes a strong hook, clear value, and a compelling call to action, maximizing audience engagement.

This skill provides guidance for quality-focused software development and architecture based on Clean Architecture and Domain Driven Design principles. It covers code style rules, best practices like library-first approach, naming conventions, separation of concerns, and avoiding anti-patterns to ensure maintainable and scalable code.

A static analysis tool that audits SQL code for common cost and performance anti-patterns (e.g., full-table scans, Cartesian joins). It calculates a query health score (0-100) for data warehouses like BigQuery, Snowflake, and Redshift, providing a prioritized, actionable plan with concrete fixes and estimated cost savings. Essential for FinOps and data quality assurance.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

Guides how to craft detailed prompts for Google Stitch so it generates high-quality web and mobile UI designs, covering specificity, visual style, multi-screen structure, platform targeting, and iterative refinement.

This skill provides comprehensive guidelines for writing idiomatic and efficient Swift code. It covers best practices for optionals, collections, value types, error handling, concurrency, and protocol-oriented design to improve code quality and maintainability.