airiot-frontend
Official AIRIOT development toolkit for building React applications with TypeScript, shadcn/ui, and integrated real-time platform capabilities.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
143 skills found
Official AIRIOT development toolkit for building React applications with TypeScript, shadcn/ui, and integrated real-time platform capabilities.
Implement a full Model Context Protocol (MCP) stack in Rails. Connect to external servers, expose your Rails app as an MCP server, or manage subprocess MCP containers via Docker with OAuth 2.1 PKCE support.
Sage MCP protocol implementation for integrating external tool servers and standardized AI model context.
Generate real-time AI podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model with WebSocket streaming, complete with PCM to WAV conversion and frontend playback integration.
Implement production-ready AI chat interfaces using OpenAI ChatKit React components. Features include hook configuration, streaming, theming, conversation history, and custom tool integration for Next.js applications.
Lightweight MCP (Model Context Protocol) connection handler supporting stdio, SSE, and streamable HTTP transports for seamless server integration.
Unified AI gateway for 100+ LLMs with OpenAI-compatible API, model fallbacks, load balancing, and enterprise-grade tools.
Perform internet searches using the Zhipu AI web search API to retrieve real-time information, news, and current data.
Universal MCP client for connecting to any MCP server with progressive disclosure. Wraps MCP servers as skills to prevent context window bloat from tool definitions. Use for Zapier, GitHub, sequential thinking, and file operations.
Maintenance patterns for the @youdotcom-oss/mcp STDIO bridge, focusing on transport lifecycle management, shutdown guards, and robust error handling.
Diagnose and debug Agent-to-Agent (A2A) communication, including orchestrator routing, transport connectivity, agent status, and log analysis for multi-agent systems.
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.