Skill UI

Provides championship-grade repository hygiene and health checks. It systematically audits critical areas, including dependency health, CI/CD pipeline alignment, documentation synchronization, and detecting stray artifacts. The tool generates a prioritized, actionable cleanup plan and offers auto-fix capabilities to keep codebases pristine and production-ready.

A fast, grep-based linter that checks for common design system violations in CSS and component code, such as hardcoded colors, raw pixel values, and deprecated syntax. It provides immediate automated feedback to ensure code adheres to established design tokens and best practices.

This skill systematically scans Apple's comprehensive developer documentation, specifically targeting SwiftUI. It identifies deprecated APIs, finds their modern replacements, and updates the expert skill's reference guide. Use this when required to refresh deprecated features, check for new API deprecations after an iOS/Xcode update, or maintain the most current best practices for SwiftUI development.

Design and schedule recurring, self-running marketing workflows with defined triggers, cadences, guardrails, and stop conditions. Orchestrate SEO, ads, content, outbound, and retention loops as always-on systems.

This skill serves as the central configuration manager for AI agent projects, defining the single source-of-truth for all capabilities (skills, tools, servers, rules, plugins). It guides users through the entire system lifecycle using the `capa` CLI, covering installation, schema definition, secret management, and advanced troubleshooting. Use this skill whenever setting up, modifying, or troubleshooting project capabilities.

KubeEye is a comprehensive cluster inspection tool designed for Kubernetes environments, particularly within KubeSphere. It systematically detects issues across workloads, nodes, and configurations by integrating multiple policy engines, including OPA/Rego, PromQL, file integrity checks, kernel parameter validation, and systemd health checks. Users can define custom inspection rules (InspectRule), schedule checks (InspectPlan), and retrieve detailed reports (InspectResult) to ensure cluster compliance and stability.

A sophisticated and print-friendly presentation template designed for explaining complex system architectures and data pipelines. Featuring a blueprint grid, cream background, and rust red accents, this deck is ideal for technical deep dives in engineering and system design.

Create engaging and intuitive process visualization using the whiteboard aesthetic. This template simulates a physical brainstorming session with sticky notes, hand-drawn SVG connections, and optional cursor interactions, perfect for onboarding, system architecture, or operational workflows.

Recreate the modern, frosted glass aesthetic of macOS notification banners. This template is ideal for adding polished, system-like alerts to video overlays, product launch videos, or social media announcements. It features structured content areas for app icons, titles, and detailed text, mimicking the native OS look and feel.

A structured, horizontal-swipe presentation template designed for comprehensive weekly team reporting. This deck systematically covers key operational areas, including features completed (Shipped), ongoing project progress (In flight), major roadblocks (Blocked), performance metrics (KPIs), and actionable items requiring support (Asks). It is ideal for standardizing weekly status updates and executive reporting.

A systematic framework for agents to drive goals to verified completion. It compiles goals into task plans, executes tasks sequentially, verifies results via subprocesses, manages retries, and escalates on failure. Ensures rigorous verification and state management for complex domain tasks.

Provides comprehensive guidance on scheduling AI agent runs, covering external systems like cron and systemd, and built-in schedulers (e.g., Hermes). It details best practices for setting up recurring jobs, implementing heartbeat patterns, and avoiding common pitfalls like tight timers or state loss, ensuring reliable, scheduled automation.