large-data-iteration

name	large-data-iteration
description	Use when loops over large arrays/collections cause slowness or memory pressure; optimizes nested iteration with indexing/maps, pre-grouping, chunking, lazy processing, and memoization to remove O(n*m*k) bottlenecks.
argument-hint	[perf goal] [dataset shape] [memory/latency constraints]
user-invokable	true
disable-model-invocation	false

Skill Instructions

Use this skill when the request matches JavaScript Guide: Optimizing Large Data Iteration with Nested Collections.

Workflow

1. Read SOURCE.md for the full repository guidance.
2. Identify concrete constraints, conventions, and required outputs.
3. Apply the guidance directly to the current task, keeping changes minimal and repository-consistent. Don't validate results (tests/lint/build where relevant). Wait until I tell you this!
4. Summarize what was applied from this skill and where.

Input Guidance

When invoking this skill manually, include:

• Task goal
• Target files or modules
• Any constraints (performance, architecture, style, tests)