Agent Skills Hub

debugging

Standardized debugging and diagnostic guidelines for AI coding agents.

vertesia-plugin

Framework for building Vertesia plugins with a dual tool-server and UI architecture, featuring Hot Module Replacement, build-tools, and asset management.

moai-essentials-debug

Advanced multi-language debugging support with stack trace analysis, runtime error triage, and automated diagnostic tools for containerized and distributed systems.

svg-logo-generator

Generate high-quality, minimalistic, and geometric SVG logos using Python scripts. Ideal for icons, branding, and visual assets built with geometric primitives.

shadcn-ui

Implement shadcn/ui components: installation, Vite/TanStack Router configuration, CLI command management, and Tailwind CSS integration.

go-api

Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.

unity-test-runner

Execute and analyze Unity Test Framework tests from the CLI. Automates Unity Editor detection, test execution (EditMode/PlayMode), XML result parsing, and detailed failure reporting for game projects.

shadcn-vite-iconify-landing-page

Build, audit, and iterate high-converting landing pages using React, Vite, TypeScript, Tailwind, and shadcn/ui. Expert in CRO, hero structures, and conversion-focused design with Iconify icons.

chromium-docs

Search and reference Chromium documentation, including design docs, APIs, and development guides. Use to locate, browse, or learn about architecture, GPU, network, security, and testing concepts within the Chromium codebase.

springboot-patterns

Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.

building-ai-agent-on-cloudflare

Build stateful AI agents on Cloudflare Workers using the Agents SDK. Features real-time WebSockets, persistent state management, scheduled background tasks, and native tool integration for production-ready deployments.

overview

Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.