laravel-laravel-prompting-patterns
Use Laravel-specific vocabulary—Eloquent patterns, Form Requests, API resources, jobs/queues—to get idiomatic framework code
laravel-policies-and-authorization
Enforce access via Policies and Gates; use authorize() and authorizeResource() to standardize controller protections
laravel-performance-select-columns
Select only required columns to reduce memory and transfer costs; apply to base queries and relations
laravel-performance-eager-loading
Prevent N+1 queries by eager loading; enable lazy-loading protection in non-production; choose selective fields
laravel-performance-caching
Use framework caches and value/query caching to reduce work; add tags, locks, and explicit invalidation strategies for correctness
laravel-migrations-and-factories
Safe database change patterns; when to modify vs add migrations; always pair models with migrations and factories; seeding guidance
laravel-iterating-on-code
Refine AI-generated code through specific feedback—point out errors, identify gaps, show desired changes, reference style guides
laravel-internationalization-and-translation
Build with i18n in mind from day one using Laravel translation helpers, JSON files, Blade integration, and locale management
laravel-interfaces-and-di
Use interfaces and dependency injection to decouple code; bind implementations in the container
laravel-filesystem-uploads
Store and serve files via Storage; set visibility, generate URLs, and handle streaming safely
laravel-dependencies-trim-packages
Remove unneeded Composer packages and assets to improve boot time, memory, and security surface
laravel-debugging-prompts
Create effective debugging prompts—include error messages, stack traces, expected vs actual behavior, logs, and attempted solutions
laravel-data-chunking-large-datasets
Process large datasets efficiently using chunk(), chunkById(), lazy(), and cursor() to reduce memory consumption and improve performance
laravel-custom-helpers
Create and register small, pure helper functions when they improve clarity; keep them organized and tested
laravel-controller-tests
Write focused controller tests using HTTP assertions; keep heavy logic in Actions/Services and unit test them
laravel-controller-cleanup
Reduce controller bloat using Form Requests for auth/validation, small Actions/Services with DTOs, and resource/single-action controllers
laravel-constants-and-configuration
Replace hardcoded values with constants, enums, and configuration for maintainability; use PHP 8.1+ enums and config files
laravel-config-env-storage
Portable storage configuration across S3/R2/MinIO with optional CDN—env toggles, path-style endpoints, and URL generation
laravel-api
Build production-grade Laravel REST APIs using opinionated architecture patterns with Laravel best practices. Use when building, scaffoling, or reviewing Laravel APIs with specifications for stateless design, versioned endpoints, invokable controllers, Form Request DTOs, Action classes, JWT authentication, and PSR-12 code quality standards. Triggers on "build a Laravel API", "create Laravel endpoints", "add API authentication", "review Laravel API code", "refactor Laravel API", or "improve Laravel code quality".
laravel-api-resources-and-pagination
Use API Resources with pagination and conditional fields; keep response shapes stable and cache-friendly
complexity-guardrails
Keep cyclomatic complexity low; flatten control flow, extract helpers, and prefer table-driven/strategy patterns over large switches
baseline-ui
Enforces an opinionated UI baseline to prevent AI-generated interface slop.
laravel-rate-limiting
Apply per-user and per-route limits with RateLimiter and throttle middleware; use backoffs and headers for clients
outside-in-testing-ios-apps
Test iOS apps running in Simulator from the outside in. Use PROACTIVELY when you need to verify an iOS app works, run acceptance tests, check UI behavior, perform outside-in testing, end-to-end testing, functional testing, exploratory testing, or smoke testing of iOS apps. Covers launching test flows, verifying screens, interacting with UI elements, and diagnosing failures. Triggers on: test my app, verify the app, check the UI, does this work, acceptance test, outside-in test, e2e test, functional test, smoke test, exploratory test.
quality-standards
Defines code quality benchmarks, standards compliance, and best practices for maintaining high-quality codebases
web-validation
Comprehensive web page validation with authentication, screenshot capture, mobile testing, and enhanced error detection
web-search-fallback
Autonomous agent-based web search fallback for when WebSearch API fails or hits limits
web-artifacts-builder
Modern web development patterns using React + Tailwind CSS + shadcn/ui for building production-quality, accessible, and performant web applications
validation-standards
Tool usage requirements, failure patterns, consistency checks, and validation methodologies for Claude Code operations
Transcendent AI Systems
Advanced knowledge and methodologies for implementing next-generation AGI capabilities with quantum computing, neural evolution, and dimensional computing
testing-strategies
Provides test design patterns, coverage strategies, and best practices for comprehensive test suite development
security-patterns
Comprehensive OWASP security guidelines, secure coding patterns, vulnerability prevention strategies, and remediation best practices for building secure applications
Predictive Skill Loading
Anticipates and pre-loads optimal skills before task execution based on pattern matching and historical success rates
performance-scaling
Cross-model performance optimization and scaling configurations for autonomous agents
pattern-learning
Enables autonomous pattern recognition, storage, and retrieval at project level with self-learning capabilities for continuous improvement
orchestrator-subsystems
Orchestrator subsystem details including automatic learning integration, performance recording, validation, interactive suggestions, gitignore management, and workspace health monitoring.
orchestrator-implementation
Detailed implementation strategies for the four-tier orchestrator agent architecture including sub-agent definitions and group coordination protocols.
model-detection
Universal model detection and capability assessment for optimal cross-model compatibility
integrity-validation
Pre/post-operation validation to detect missing components and prevent future issues
gui-design-principles
Comprehensive design principles and best practices for creating beautiful, functional GUI applications including dashboards, web apps, and mobile apps
Group Collaboration
Best practices for inter-group communication, knowledge sharing, and collaborative workflows in four-tier architecture
git-automation
Advanced Git operations automation including intelligent branching, commit optimization, release workflows, and repository health management
fullstack-validation
Comprehensive validation methodology for multi-component applications including backend, frontend, database, and infrastructure
frontend-aesthetics
Distinctive frontend design principles for avoiding generic AI defaults, implementing thoughtful typography/color/animations, and creating polished user experiences based on Claude Code design research
documentation-best-practices
Provides templates, standards, and best practices for writing clear, comprehensive technical documentation
Decision Frameworks
Decision-making methodologies, scoring frameworks, and planning strategies for Group 2 agents in four-tier architecture
contextual-pattern-learning
Advanced contextual pattern recognition with project fingerprinting, semantic similarity analysis, and cross-domain pattern matching for enhanced learning capabilities
code-analysis
Provides methodologies, metrics, and best practices for analyzing code structure, complexity, and quality
claude-plugin-validation
Comprehensive validation system for Claude Code plugins to ensure compliance with official plugin development guidelines and prevent installation failures
autonomous-development
Comprehensive autonomous development strategies including milestone planning, incremental implementation, auto-debugging, and continuous quality assurance for full development lifecycle management
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