Agent Skills Hub

local-skills-mcp-guide

Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.

ultraqa

Autonomous QA cycling workflow that runs test-verify-fix loops until your quality goals are met.

upgrade-stripe

Expert guide for upgrading Stripe API versions, server-side SDKs, Stripe.js, and mobile SDKs to ensure integration compatibility.

analyze-project

Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.

help

Interactive guide for workspace discovery, providing access to specialist agents, automated workflows, CLI tools, and active lifecycle hooks.

parallel-worktrees

Create and manage git worktrees for parallel coding sessions. Enable zero-dead-time development by running tests, builds, and multiple branch sessions simultaneously without interference.

ui-ux-reviewer

Analyze UI/UX quality against 4 authoritative standards (NNg, Laws of UX, Apple HIG, WCAG) to receive actionable design and accessibility improvements for mobile and web components.

frontend-design

Build distinctive, production-grade frontend interfaces and web components with high aesthetic quality, avoiding generic AI design patterns.

github-copilot-agent-tips-and-tricks

Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.

qa-tester

Specialized QA testing agent for morphir-dotnet, covering test plans, regression, E2E verification, bug reporting, and package validation.

Swarm Orchestration

Orchestrate multi-agent swarms using agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Ideal for building distributed AI systems and scaling complex development workflows.

plan-writing

Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.