laravel:effective-context
Provide comprehensive context in prompts—files, errors, Laravel version, dependencies, and monorepo details—for accurate AI responses
laravel:eloquent-relationships
Define clear relationships and load data efficiently; prevent N+1, use constraints, counts/sums, and pivot syncing safely
laravel:exception-handling-and-logging
Use reportable/renderable exceptions, structured logs, and channel strategy for observability and graceful failures
laravel:executing-plans
Execute Laravel plans in small batches with checkpoints—TDD first, migrations safe, queues verified, and quality gates enforced
laravel:filesystem-uploads
Store and serve files via Storage; set visibility, generate URLs, and handle streaming safely
laravel:form-requests
Move validation and authorization into Form Requests; use rule objects, custom messages, and nested data handling to keep controllers slim
laravel:horizon:metrics-and-dashboards
Operate Horizon with confidence—naming, tags, concurrency, failure handling, actionable metrics, and dashboards
laravel:http-client-resilience
Use the HTTP client with sensible timeouts, retries, and backoff; capture context and handle failures explicitly
laravel:interfaces-and-di
Use interfaces and dependency injection to decouple code; bind implementations in the container
laravel:internationalization-and-translation
Build with i18n in mind from day one using Laravel translation helpers, JSON files, Blade integration, and locale management
laravel:iterating-on-code
Refine AI-generated code through specific feedback—point out errors, identify gaps, show desired changes, reference style guides
laravel:laravel-prompting-patterns
Use Laravel-specific vocabulary—Eloquent patterns, Form Requests, API resources, jobs/queues—to get idiomatic framework code
laravel:migrations-and-factories
Safe database change patterns; when to modify vs add migrations; always pair models with migrations and factories; seeding guidance
laravel:nova:resource-patterns
Consistent Nova resources—fields, actions, metrics, lenses, filters, authorization—and how to evolve resources alongside schema changes
laravel:performance-caching
Use framework caches and value/query caching to reduce work; add tags, locks, and explicit invalidation strategies for correctness
laravel:performance-eager-loading
Prevent N+1 queries by eager loading; enable lazy-loading protection in non-production; choose selective fields
laravel:performance-select-columns
Select only required columns to reduce memory and transfer costs; apply to base queries and relations
laravel:php-attributes
Use first-party PHP attributes (Laravel 13+) for controllers, authorization, queue jobs, and models; declarative configuration colocated with code
laravel:policies-and-authorization
Enforce access via Policies and Gates; use authorize() and authorizeResource() to standardize controller protections
laravel:ports-and-adapters
Use hexagonal architecture for external systems; define ports (interfaces) and per-provider adapters; select adapter at composition edge
laravel:prompt-structure
Structure prompts for clarity—separate concerns, prioritize requests, specify acceptance criteria, and break work into testable increments
laravel:quality-checks
Unified quality gates for Laravel projects; Pint, static analysis (PHPStan/Psalm), Insights (optional), and JS linters; Sail and non-Sail pairs provided
laravel:queues-and-horizon
Operate and verify queues with or without Horizon; safe worker flags, failure handling, and test strategies
laravel:rate-limiting
Apply per-user and per-route limits with RateLimiter and throttle middleware; use backoffs and headers for clients
laravel:request-forgery-protection
Configure CSRF and origin-aware request forgery protection; PreventRequestForgery middleware (Laravel 13+) with token fallback and exclusions
laravel:routes-best-practices
Keep routes clean and focused on mapping requests to controllers; avoid business logic, validation, or database operations in route files
laravel:runner-selection
Choose Sail automatically when available, fall back cleanly to host PHP/Composer/Node; paired command map for both environments
laravel:specifying-constraints
Define clear constraints—performance, security, testing, architecture, dependencies—so AI generates code that meets your project standards
laravel:strategy-pattern
Use the Strategy pattern to select behavior at runtime; bind multiple implementations to a shared interface
laravel:task-scheduling
Schedule tasks with safety; use withoutOverlapping, onOneServer, and visibility settings for reliable cron execution
laravel:tdd-with-pest
Apply RED-GREEN-REFACTOR with Pest or PHPUnit; use factories, feature tests for HTTP, and parallel test runners; verify failures before implementation
laravel:template-method-and-plugins
Stabilize workflows with Template Method or Strategy; extend by adding new classes instead of editing core logic
laravel:transactions-and-consistency
Wrap multi-write operations in transactions; use dispatchAfterCommit and idempotency patterns to ensure consistency
laravel:upgrade-13
Upgrade an app from Laravel 12.x to 13.x safely; PHP 8.3 baseline, dependency bumps, breaking-change checklist, and verification steps
laravel:using-examples-in-prompts
Provide concrete examples—existing code patterns, style samples, input/output pairs—to guide AI toward your project's conventions
laravel:using-laravel-superpowers
Read first in Laravel repos; explains runner selection (Sail vs non-Sail), core workflows, and how to apply superpowers skills in Laravel projects without platform lock-in
laravel:vector-search
Add semantic search with native vector queries (Laravel 13+); pgvector similarity clauses, embedding workflows, and hybrid search patterns
laravel:writing-plans
Create an actionable Laravel implementation plan—bite-sized tasks with TDD-first steps, migrations, services, jobs, and validation points
matlab-performance-optimizer
Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Use when user requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.
matlab-symbolic-math
Generate correct MATLAB code using the Symbolic Math Toolbox. Use when the user asks for symbolic computations, analytical solutions, symbolic differentiation/integration, equation solving, or converting symbolic results to numeric MATLAB functions. Also use when converting differential equations to transfer functions or state-space form.
matlab-uihtml-app-builder
Build interactive web applications using HTML/JavaScript interfaces with MATLAB computational backends via the uihtml component. Use when creating HTML-based MATLAB apps, JavaScript MATLAB interfaces, web UIs with MATLAB, interactive MATLAB GUIs, or when user mentions uihtml, HTML, JavaScript, web apps, or web interfaces.
matlab-uihtml-design
Generate beautiful, distinctive HTML/CSS/JS control panels for MATLAB uihtml components. 8 built-in styles (Clean, Material, Cosmic Dark, Neumorphic, Dashboard Light, Midnight Gradient, Minimal Mono, Warm Dark) plus custom aesthetics. Produces production-grade UI with sliders, buttons, toggles, and panels. Use when building visually polished MATLAB app UIs with uihtml.
ai-co-scientist
Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration. Triggers on "research project", "scientific experiment", "run experiments", "AI scientist", "tree search experimentation", "systematic study".
codex
Run OpenAI's Codex CLI agent in non-interactive mode using `codex exec`. Use when delegating coding tasks to Codex, running Codex in scripts/automation, or when needing a second agent to work on a task in parallel.
commit-splitter
Split large sets of uncommitted changes into logical, well-organized commits. Use when the user has many uncommitted changes and wants structured commits, or proactively suggest when detecting a large diff that would benefit from splitting.
cs448b-visualization
Data visualization design based on Stanford CS448B. Use for: (1) choosing chart types, (2) selecting visual encodings, (3) critiquing visualizations, (4) building D3.js visualizations, (5) designing interactions/animations, (6) choosing colors, (7) visualizing networks, (8) visualizing text. Covers Bertin, Mackinlay, Cleveland & McGill.
cs-research-methodology
Conduct a literature review and develop a CS research proposal. Use when asked to review a research area, find gaps in existing work, and propose a novel research contribution. The output is a research proposal identifying an assumption to challenge (the "bit flip") and how to validate it.
icml-reviewer
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neuro-symbolic-reasoning
Neuro-symbolic AI combining LLMs with symbolic solvers. Use when exploring neuro-symbolic approaches (ideation, no code) or implementing solver integrations (code).
project-referee
Critiques ML conference papers with reviewer-style feedback. Use when users want to anticipate reviewer concerns, identify weaknesses, check claim-evidence gaps, or find missing citations.
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