mcp-patterns
Maintenance patterns for the @youdotcom-oss/mcp STDIO bridge, focusing on transport lifecycle management, shutdown guards, and robust error handling.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
317 skills found
Maintenance patterns for the @youdotcom-oss/mcp STDIO bridge, focusing on transport lifecycle management, shutdown guards, and robust error handling.
A standardized fullstack pattern for Next.js features, integrating GET API routes, server actions, SWR data fetching, and React Hook Form with Zod validation.
Search the web using Tavily's LLM-optimized search API for relevant, source-cited content without writing code.
Standardized technical documentation templates for ADRs, runbooks, architecture, and knowledge transfer in AI agent workflows.
Manage database orchestration sessions, state snapshots, and system-level operations for the BAZINGA-DB core engine.
Full-stack web development suite featuring Next.js (SSR/RSC/App Router), Turborepo for monorepo management, and RemixIcon for UI assets. Optimized for modern React, high-performance builds, and scalable architecture.
A versatile Draw.io integration for agentic diagram generation, validation, and export, optimized for process mining and SAP-to-Odoo orchestration visualization.
Writes, executes, and refines SQL queries, from basic selects to complex multi-table joins, aggregations, and subqueries for data retrieval and reporting.
Real-time web search and content extraction tool using the Tavily API for research, news gathering, and up-to-date information retrieval.
A structured API interface for the Swagger Petstore, optimized for AI agents to interact with resources like pets, users, and store orders using on-demand documentation loading.
Manage client relationships, track follow-ups, and automate personalized email drafts using Obsidian-based client profiles.
Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.