Agent Skills: Laravel Scout

Implement full-text search with Laravel Scout. Use when adding search to Eloquent models with Meilisearch, Algolia, or database driver.

UncategorizedID: fusengine/agents/laravel-scout

Install this agent skill to your local

pnpm dlx add-skill https://github.com/fusengine/agents/tree/HEAD/plugins/laravel-expert/skills/laravel-scout

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plugins/laravel-expert/skills/laravel-scout/SKILL.md

Skill Metadata

Name
laravel-scout
Description
Implement full-text search with Laravel Scout. Use when adding search to Eloquent models with Meilisearch, Algolia, or database driver.

Laravel Scout

Agent Workflow (MANDATORY)

Before ANY implementation, use TeamCreate to spawn 3 agents:

  1. fuse-ai-pilot:explore-codebase - Analyze existing model and search patterns
  2. fuse-ai-pilot:research-expert - Verify Scout docs via Context7
  3. mcp__context7__query-docs - Check search and indexing patterns

After implementation, run fuse-ai-pilot:sniper for validation.


Overview

| Component | Purpose | |-----------|---------| | Searchable Trait | Makes Eloquent models searchable | | Search Drivers | Meilisearch, Algolia, database, collection | | Indexing | Automatic sync on model changes | | Search Builder | Fluent search API with filters |


Decision Guide: Search Driver

Which driver?
├── Production (recommended) → Meilisearch (fast, self-hosted, free)
├── Managed service → Algolia (hosted, pay per search)
├── Small dataset → database (no extra infra)
└── Testing → collection (in-memory, no engine)

Quick Setup

composer require laravel/scout
composer require meilisearch/meilisearch-php http-interop/http-factory-guzzle
SCOUT_DRIVER=meilisearch
MEILISEARCH_HOST=http://127.0.0.1:7700
MEILISEARCH_KEY=masterKey
$results = Article::search('laravel tutorial')->paginate(15);

Critical Rules

  1. Use toSearchableArray() to control indexed data
  2. Queue indexing with SCOUT_QUEUE=true for performance
  3. Use searchable() for bulk import after setup
  4. Pause indexing during seeders with Scout::withoutSyncing()

Reference Guide

| Need | Reference | |------|-----------| | Searchable trait, indexing, conditions | searchable.md | | Driver setup, Meilisearch, Algolia | drivers.md |


Best Practices

DO

  • Use Meilisearch for production (fast, typo-tolerant)
  • Queue indexing operations (SCOUT_QUEUE=true)
  • Limit indexed fields with toSearchableArray()

DON'T

  • Index sensitive data (passwords, tokens)
  • Forget to import existing records after setup
  • Use collection driver in production

Laravel 13 Notes

Vector search natif pgvector

Pour la recherche sémantique (embeddings) sur PostgreSQL, Laravel 13 expose Schema::ensureVectorExtensionExists() et whereVectorSimilarTo() via la skill dédiée [[laravel-vector-search]]. Scout reste pertinent pour le full-text (Meilisearch/Algolia) ; pour la similarité vectorielle, utiliser pgvector directement sans driver Scout.

// Hybride : Scout pour full-text, pgvector pour similarité
$keyword = Post::search($query)->get();
$semantic = Post::whereVectorSimilarTo('embedding', $embedding, limit: 10)->get();