data-chunking-large-datasets

name	data-chunking-large-datasets
description	Laravel guidance to process large datasets efficiently using chunk(), chunkById(), lazy(), and cursor() to reduce memory consumption and improve performance
tags	["laravel","php"]

Data Chunking Large Datasets

Use this skill when a Laravel task involves data chunking large datasets.

This skill is adapted to the personal Laravel standards in this repository. It maps the public data-chunking-large-datasets topic from jpcaparas/superpowers-laravel into the local data-chunking-large-datasets catalog without copying third-party skill body text.

Syarif Defaults

• Follow Laravel conventions before introducing custom abstractions.
• Prefer project-local patterns when they are explicit and tested.
• Keep controllers focused on HTTP orchestration.
• Put validation, authorization, transactions, side effects, and integrations at clear boundaries.
• Keep client names, credentials, internal URLs, provider secrets, and project-specific business rules out of reusable standards.
• Verify important behavior with the smallest meaningful tests and quality checks.

Workflow

1. Detect the Laravel version, PHP version, runner, package manager, and existing project conventions.
2. Identify the smallest local skill set that overlaps this topic.
3. Implement or review the change using Laravel-native APIs first.
4. Add abstractions only when they reduce real complexity or protect a meaningful boundary.
5. Run targeted tests and available quality checks before handoff.

Checkpoints

• Authorization and validation boundaries are explicit.
• Query shape, transactions, queues, cache, files, and external calls are intentional when touched.
• User-facing behavior has feature, unit, browser, or integration tests at the right level.
• Logs and errors are useful without exposing secrets or unnecessary personal data.
• Documentation or proposals avoid importing source-project names or one-off business rules.

Related Skills

• using-laravel-standards
• architecture
• testing
• security