Agent Skills Hub

rivetkit-client-react

Official React client for RivetKit. Provides hooks like useActor and createRivetKit to build realtime React applications connected to Rivet Actors.

clawteam

Orchestrate multi-agent AI swarms using the ClawTeam CLI to automate parallel task execution, dependency management, and team collaboration with git worktree isolation and tmux support.

podcast-generation

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.

Frontend Components

Standardized configuration and management for Django production server and worker processes.

data-extraction-patterns

Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.

event-store-design

Design and implement robust, scalable event stores for event-sourced systems, covering architectural patterns, technology selection, and persistence strategies.

youtube-summarizer

Automatically fetch YouTube transcripts, generate structured content summaries, and deliver them to messaging platforms with metadata and key insights.

database-driver-design

Expert guidance for building production-ready Swift database client libraries, covering wire protocols, connection pooling, state machines, and NIO integration.

nestjs-best-practices

NestJS 11+ expert assistant for enterprise Node.js development, including dependency injection, DTO validation, authentication, ORMs, testing, microservices, and architectural best practices.

slack

Manage Slack communications: send, edit, delete messages, handle reactions, pin items, and fetch member information directly through your AI agent.

mcp-rails

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.

Vercel Deploying

Automated Vercel production deployment agent that fetches logs via MCP, identifies build errors, applies fixes, and retries until success.