Agent Skills Hub

query-sub-agent

Specialized IDF (Information Display Frame) sub-agent for generating and reviewing CQRS Query Side implementations across Java, TypeScript, and Go.

tailwindcss

TailwindCSS v4 pattern library with CSS-first configuration, @theme design tokens, @source content detection, and modern CSS utilities for high-performance frontend workflows.

enforcescript-patterns

Development guide for Arma Reforger EnforceScript, covering component architecture, network replication, persistence, and memory management.

claude-code-guide

An advanced development guide for Claude Code, covering REPL environments, MCP integration, development workflows, and best practices for AI-assisted coding.

agentic-workflows

Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.

documentation

Write, structure, and maintain technical documentation like READMEs, API docs, runbooks, and architecture specs to keep your team aligned and informed.

tzurot-council-mcp

Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.

elastic-beanstalk-deployment

Deployment skill for AWS Elastic Beanstalk Node.js apps, providing dependency strategies for monorepos, private packages, and environment configuration.

parallel-agents

Orchestrate complex workflows by coordinating multiple specialized AI agents for multi-perspective code analysis, feature implementation, and system-wide reviews.

toh-framework

Security-first auditing framework for AI-generated code. Provides multi-level protection including hardcoded secret detection, dangerous pattern identification, and comprehensive vulnerability audits for modern web applications.

supabase-auth

Manage Supabase authentication, including user sign-up, sign-in, session management, and admin-level user lifecycle operations via the REST API.

docs-generator

Generate hierarchical, AI-optimized documentation structures (AGENTS.md, agent.d) to streamline codebase context, setup, and navigation for AI coding assistants and developers.