This skill provides expert guidance for using n8n-mcp MCP server tools to discover nodes, validate configurations, and manage workflows efficiently.

Building the same feature across multiple platforms creates inconsistencies and duplicate work. This skill orchestrates AI agents to maintain feature parity while optimizing for each platform's conventions.

Avoid vendor lock-in and build resilient cloud systems. This skill provides a decision framework for selecting and integrating services across multiple cloud providers.

Managing multiple packages across separate repositories creates complexity and inconsistency. This skill provides proven patterns for monorepo setup with Turborepo, Nx, and pnpm workspaces to enable code sharing and efficient builds.

Managing code across multiple repositories creates duplication and integration nightmares. This skill provides expert guidance on monorepo architecture, build system selection, and dependency management to streamline development at scale.

Building and maintaining ML pipelines requires expertise in multiple tools and cloud platforms. This skill provides expert guidance on implementing end-to-end MLOps workflows with experiment tracking, model versioning, and automated deployment.

Implement custom authentication extensions for Microsoft Entra ID with Azure Functions. Add custom claims to tokens, validate user attributes during sign-up, and deliver OTP codes through custom channels.

AI agents lose all context when sessions end without proper memory systems. This skill provides battle-tested patterns for building layered memory from working context to temporal knowledge graphs.

This skill helps you install and configure the Manifest observability plugin for Claude Code agents, enabling telemetry and monitoring for your AI workflows.

Managing Make (Integromat) automation requires tracking operations and validating configuration values. This skill provides direct access to Make operations data and enum lookups through Composio's Make toolkit via Rube MCP.

Linux administrators face complex system failures requiring structured diagnosis. This workflow provides a seven-phase approach to systematically identify root causes and implement verified fixes.

Manually writing bash scripts for system administration is time-consuming and error-prone. This skill provides production-ready shell script templates for common Linux tasks including backups, monitoring, user management, log analysis, and automation.

System administrators need reliable, tested scripts for routine tasks without writing from scratch. This skill provides production-ready bash templates for backups, monitoring, user management, and automation with best practices built in.

Code modifications often introduce syntax errors or violate project standards. This skill automates linting, type checking, and security audits to catch issues before commit.

Debug and monitor your LLM applications with comprehensive tracing and evaluation. Langfuse provides open-source observability to track costs, latency, and quality across your AI workflows.

Streamline Kubernetes deployment workflows including containerization, Helm charts, service mesh configuration, and production-ready K8s patterns.

Building production Kubernetes infrastructure is complex and error-prone. This skill provides expert guidance on cluster architecture, GitOps workflows, and enterprise security patterns to accelerate your platform engineering.

Secure your Kubernetes clusters with production-ready network policies, RBAC configurations, and pod security standards. This skill provides comprehensive templates and best practices for defense-in-depth security.

Creating secure Kubernetes manifests manually is error-prone and time-consuming. This skill provides templates and best practices for Deployments, Services, ConfigMaps, and Secrets that follow cloud-native standards.

Pull request fixes often require multiple iterations due to CI failures and review feedback. This skill automates the entire feedback-fix-push-wait cycle so you can focus on writing code while it handles checking status, gathering feedback, and pushing fixes.