svelte/production-readiness

What problem does it solve?

This Skill helps you avoid slow, bloated, and overly reactive TanStack Table implementations by applying Svelte 5–specific production practices.

Core Features & Use Cases

• Tree-shake only what you use by registering the minimum required features so unused state slices and reactive plumbing are removed.
• Stabilize inputs by keeping _features, _rowModels, columns, and data identities consistent to prevent unnecessary option re-syncs.
• Reduce re-renders with targeted subscriptions using subscribeTable for per-block updates instead of broad table.state selection.
• Improve runtime performance through non-reactive atom reads, stable {#each} keys, debounced high-frequency writes, and virtualization for large datasets.
• Use correct production defaults like avoiding debug flags, debouncing filter/resizing updates, and not re-implementing built-in table behaviors.

Quick Start

Ask an AI coding agent to review your Svelte 5 TanStack Table integration and rewrite it to use feature opt-in, stable columns/data identities, narrow state selectors or subscribeTable, debounced writes, and stable keyed loops for production performance.