Skill UI

This skill performs an autonomous repository-wide audit and fix pipeline. It audits code health, reviews logic, locates issues, explains findings, applies fixes, verifies diffs, and iterates until clean. It requires initial consent but runs hands-free afterwards, suitable for comprehensive code quality improvement and bug resolution.

This skill analyzes nutrition data to identify patterns and assess nutritional status. It provides personalized advice for dietary improvement. It can correlate nutrition data with exercise, sleep, and chronic disease information for comprehensive health insights. Users should use it for macro/micronutrient evaluation and dietary trend analysis.

Analyzes content for E-E-A-T signals (Experience, Expertise, Authority, Trust) and recommends improvements. Produces audit scorecards, author bio templates, trust checklists, topical authority maps, and schema markup plans; ideal for YMYL topics.

This skill analyzes content for SEO best practices, E-E-A-T signals, and quality standards. It evaluates depth, readability, keyword usage, and structure to provide actionable improvement recommendations. It scores content based on editorial rubrics but does not check actual search rankings or technical metrics.

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.

This skill enables the creation, improvement, and management of AI agent capabilities following specific specifications. It guides users through synthesizing sources, iterating on examples, authoring artifacts, and evaluating outcomes. Use it when tasked with defining new agent workflows, updating existing skill documentation, or optimizing trigger precision for better performance.

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.

Provides opinionated, evolving constraints to guide agents when building interfaces. Helps identify high-impact design problems and propose implementation-ready improvements.

This skill analyzes raw WordPress Site Health reports (text, screenshots, or debug info). It converts diagnostic data into a prioritized, risk-tiered fix plan, identifying critical issues and recommended improvements. It provides exact, safe commands (WP-CLI/PHP snippets) necessary to address the site and strictly enforces safety protocols like backups, lint checks, and dry-runs.

Builds disciplinary and performance improvement plan case registers with case type, linked reviews, goals, review dates, outcomes, and confidentiality settings. Produces CSV, SQL, JSON, or Notion templates on request.

Sets up a salary and wage accounting system for SMEs, producing payroll registers, liability trackers, and CSV/SQL/Notion artifacts from a single field list. It captures payroll data, deductions, and statutory reconciliation, and offers recommendations for workflow improvement.

A perfectionist mode for focused improvement on specific UI details or performance targets. Runs bounded attempts to find the best version, stops on budget. Works with multiple AI coding agents for targeted refinement and verification.