Agent Skills Hub

ui-design-system

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

subagent-driven-development

Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.

acceptance-testing

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

Python Security Scan

Advanced Python security vulnerability scanner for Flask, Django, and FastAPI projects. Audits OWASP Top 10, dependencies, hardcoded secrets, and framework-specific flaws.

mess-mcp

An MCP server enabling Claude to dispatch and manage physical-world tasks using the MESS (Meatspace Execution and Submission System) protocol.

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.

skillsdotmd_web

A scaffolding tool for generating production-ready Model Context Protocol (MCP) servers, including boilerplate, typed handlers, schema definitions, and test stubs for AI agent integrations.

Python Code Review with Modern Typing

Enforce strict Python 3.12+ type safety and modern annotation standards for high-quality, maintainable codebases.

moai-lang-c

C programming language expert for memory management, systems programming, low-level optimization, and debugging best practices.

stream-chain

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows within the Ruflo/Claude Flow ecosystem.

upstash-workflow-js

Build durable, reliable serverless workflows using the Upstash Workflow SDK. Define endpoints, manage complex execution steps, and integrate with QStash for automatic retries and state management.

unity-mcp-orchestrator

Orchestrate Unity Editor via MCP tools. Enables AI to create GameObjects, edit scripts, manage scenes, and automate testing within Unity projects.