Agent Skills Hub

hs

Pre-execution security guardrails for AI agents. Validates shell commands and file reads against 400+ security patterns to block destructive operations, credential theft, and unauthorized system access.

state-management

Guidance on frontend state management, including global stores like Zustand/Pinia, server state via TanStack Query, and URL state handling.

sparc-methodology

SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.

arduino-mcp

An MCP server enabling agents to edit, manage, and compile Arduino IDE 2.0 sketches, including source code manipulation and automated build capabilities via arduino-cli.

wormhole

Shared memory and collaboration layer for AI coding agents to track actions, manage sessions, detect conflicts, and preserve project context across tools.

swift-ui

SwiftUI architecture and implementation patterns for native iOS and macOS development, focusing on state management, view composition, and data persistence.

python

Python coding assistant providing best practices, PEP 8 enforcement, automated testing with pytest, and dependency management using uv.

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.

serena

Symbol-level code understanding and navigation agent toolkit using LSP for precise code analysis, reference tracking, and surgical refactoring across 30+ programming languages.

with-context-agent

Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.

ui-styling

Build accessible, consistent UIs using shadcn/ui and Tailwind CSS. Employs a component-first architecture for design systems, React Hook Form integration, and responsive mobile-first development.

tools

Unified API for LLM function calling and tool use across OpenAI, Anthropic, Google, and Ollama with standardized schema definitions and execution patterns.