Skill UI

A systematic, multi-phase workflow designed for diagnosing and resolving complex Linux system issues. It guides users through initial assessment, resource analysis (CPU, memory, disk), process investigation, log analysis, network diagnostics, and service failure resolution. Ideal for system administrators and DevOps engineers handling production incidents.

This skill investigates data incidents like freshness delays, volume anomalies, and ETL failures using Monte Carlo MCP tools. It combines observability metadata with optional direct data querying to identify root causes systematically.

Workflow automation ensures AI agents and business processes remain reliable despite failures. This skill covers durable execution patterns and platforms like n8n, Temporal, and Inngest. It transforms brittle scripts into production-grade systems handling sequential, parallel, and orchestrator-worker patterns for payment flows, document analysis, and background jobs.