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 covers designing visible and recoverable error handling for n8n workflows. It focuses on using error outputs, retry mechanisms, and Error Trigger workflows to prevent silent failures in unattended automation. Learn how to configure node-level retries and wire error paths correctly to ensure alerts and diagnostics are exposed only when necessary.

Diagnose and fix excessive Postgres egress (network data transfer) in a codebase. Use when users report high database bills, unexpected data transfer costs, egress spikes, or queries fetching more data than needed. Provides SQL diagnostics via pg_stat_statements and code-level fixes for common anti-patterns like SELECT *, missing pagination, and high-frequency static queries.

Expert in Prisma ORM covering schema design, migrations, query optimization, relations modeling, and database operations for PostgreSQL, MySQL, and SQLite. Provides diagnostics, best practices, and prioritized fixes for common issues.

Implement production bloom in advanced Three.js scenes, covering HDR signal ordering, bloom-node controls, dual selective bloom with material restoration, emissive hierarchy, and effect-isolation diagnostics.

This skill validates Three.js graphics implementations using fixed-view visual contracts and diagnostics. It ensures reproducibility through seed sweeps, camera-scale tests, and temporal stability checks. It captures no-post baselines and GPU budgets to prevent regression in procedural scenes, evaluating the rendering mechanism rather than subjective screenshots.