Agent Skills Hub

dev-workflow

Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.

building-logseq-plugins

Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.

core-components

Core component library and design system patterns for consistent UI development using design tokens.

dev-cycle

Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.

svelte-testing

A Svelte 5 testing expert using vitest-browser-svelte and Playwright. Provides patterns for unit, SSR, and E2E tests, plus a CLI tool for AI assistants to fetch testing patterns.

ui-design-system

Professional UI design system toolkit for design token generation, component architecture, responsive calculations, and developer handoff documentation to ensure visual consistency.

clean-code

Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.

mobile-app-ux

Mobile app UX/UI design guidelines for touch-friendly interfaces, navigation patterns, gesture handling, and small-screen optimization.

design

Collaborative UI design, wireframing, and Tailwind-first code polish to build distinctive, high-quality interfaces without AI slop.

aarnphm.github.io

A highly customized personal garden based on Quartz v4, featuring enhanced Markdown parsing, telescopic text, TikZ/pseudocode rendering, and Obsidian integration.

skills-hub

Manage, sync, and apply AI agent skills, kits, and presets using the Skills Hub CLI. Streamline your project setup by browsing catalogs, inspecting configurations, and deploying curated instruction policies and skill packages.

acceptance-testing

Plan, implement, and execute user acceptance tests (UAT) and end-to-end scenarios to validate requirements against user-visible behavior.