enterprise-superpowers

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots.

Clean Architecture patterns for Android and Kotlin Multiplatform projects -- module structure, dependency rules, UseCases, Repositories, and data layer patterns.

Performance baseline and regression detection -- page performance, API latency, build times, and before/after comparison.

Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold.

Automated visual testing and interaction verification -- smoke tests, interaction tests, visual regression, and accessibility audits using browser automation.

Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.

Post-deploy monitoring -- watches deployed URLs for regressions in HTTP status, console errors, performance, content, and API health.

Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out or leave the UI in an inconsistent state.

Systematically analyze unfamiliar codebases through reconnaissance, architecture mapping, convention detection, and artifact generation (onboarding guide + CLAUDE.md).

Compose Multiplatform and Jetpack Compose patterns for KMP projects -- state management, navigation, theming, performance, and platform-specific UI.

Audit token consumption across agents, skills, MCP servers, and rules -- identify bloat, redundancy, and optimization opportunities.

Distribute content across X, LinkedIn, Threads, and Bluesky with platform-specific adaptations -- never post identical content cross-platform.

Build production-ready AI-powered data collection systems -- three-layer stack (collect, enrich, store), LLM batching, model fallbacks, and GitHub Actions deployment.

Deep research agent that conducts thorough, multi-source investigations using web search tools and delivers cited reports with proper attribution.

Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework.

fal.ai media generation -- unified access to AI models for images, videos, and audio through MCP server integration.

Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns, Dart idioms, performance, accessibility, security, and clean architecture.

Kotlin coroutines and Flow patterns -- structured concurrency, reactive streams, StateFlow/SharedFlow, dispatcher selection, and testing strategies.

JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.

Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.

Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.

Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.

Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.

Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.

Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.

Verification loop for Laravel projects -- env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.

Apple Liquid Glass design system for iOS 26+ -- SwiftUI glassEffect, UIKit UIGlassEffect, WidgetKit integration, morphing transitions, and GlassEffectContainer patterns.

Next.js 16+ Turbopack development patterns -- Rust-based bundler for faster dev startup, HMR, file-system caching, and bundle analysis.

Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.

Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.

Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.

Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.

Product thinking tool -- validate the "why" before building, run founder reviews, audit user journeys, and prioritize features with ICE scoring.

PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.

Scan skills to extract cross-cutting principles and distill them into rules -- append, revise, or create new rule files.

Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.

Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.

Prevent destructive operations -- intercept dangerous commands, restrict file edits to specific directories, and protect production systems during autonomous agent execution.

Automated compliance measurement -- generate behavioral specs from skill/rule files, run scenarios at decreasing prompt strictness, capture tool call traces, and report compliance scores.

Swift actor-based data persistence patterns -- thread-safe storage using the actor model with in-memory caching and atomic file writes.