Agent Skills Hub

mcp-gateway-patterns

MCP Gateway design patterns for managing Agent Gateway, Subprocess, and Daemon isolation strategies to optimize context token usage and system performance.

dinero-best-practices

Enforce best practices for Dinero.js. Use when handling monetary values, performing arithmetic, or refactoring code to ensure safe, type-safe, and accurate currency calculations in JS/TS applications.

n8n-trigger-testing-strategies

Test and validate n8n workflow triggers, including webhooks, scheduling (cron), polling mechanisms, and event-driven architectures.

rclone

Manage, sync, and transfer files between local storage and cloud providers like S3, Cloudflare R2, Backblaze B2, Google Drive, and Dropbox using rclone.

swift-patterns

Expert SwiftUI assistant for reviewing, refactoring, and building high-performance, testable, and modern iOS applications using Apple's best practices.

golang

Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.

subagents-orchestration-guide

Orchestrates multi-agent development workflows, managing task decomposition, requirement analysis, and quality assurance for complex software projects.

serena-mcp

Semantic code analysis guide for Serena MCP. Automatically prioritizes Serena tools for symbols, references, and code memory to optimize context and efficiency.

llmintegration

Multi-model LLM integration patterns for Claude, GPT, Gemini, and Ollama. Features API handling, prompt engineering, token management, and model-agnostic orchestration.

rag-implementation

Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.

web-frameworks

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.

iterate

Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.