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Kotlin Exposed ORM Patterns Guide

kotlin-exposed-patterns

A comprehensive guide to building robust database layers in Kotlin using the Exposed ORM framework. It covers advanced patterns including DSL queries, DAO entity management, transaction handling, connection pooling with HikariCP, schema migration via Flyway, and implementing the Repository pattern for clean, production-grade data access.

Kotlin Idioms and Best Practices

kotlin-patterns

A comprehensive guide to idiomatic Kotlin patterns, covering null safety, immutability, sealed classes, coroutines, and DSL builders. Learn how to write robust, efficient, and highly maintainable Kotlin applications following modern best practices.

Kotlin Testing Patterns With Modern Tools

This comprehensive guide covers advanced Kotlin testing patterns using industry-standard tools like Kotest and MockK. It details the entire TDD workflow (Red-Green-Refactor), property-based testing, coroutines testing, and code coverage configuration with Kover. Ideal for developers looking to write robust, maintainable, and scalable Kotlin codebases.

Production Kubernetes Workload Patterns and Debugging

kubernetes-patterns

A comprehensive guide providing production-grade YAML patterns and debugging commands for Kubernetes deployments. Covers best practices for Deployments, Services, Ingress, resource management (requests/limits), RBAC, probes, autoscaling (HPA), and detailed kubectl debugging cheatsheets.

Laravel Architecture Patterns for Production

laravel-patterns

A comprehensive guide to production-level Laravel architectural patterns. It details best practices for structuring scalable web applications and APIs, covering service layers, dedicated actions, Eloquent ORM modeling, resource design, queue management, and advanced routing techniques like scope bindings. Learn how to maintain clean separation of concerns in large-scale PHP projects.

Secure Laravel Applications Best Practices

laravel-security

A comprehensive guide detailing best practices for securing Laravel applications. Covers critical areas including robust authentication and authorization (Policies, Sanctum), input validation (Form Requests), mitigating common vulnerabilities like XSS, CSRF, and SQL injection, and implementing secure deployment configurations.

Laravel TDD Workflow with PHPUnit and Pest

A comprehensive guide to implementing Test-Driven Development (TDD) in Laravel. This resource covers best practices for Unit, Feature, and Integration testing, guiding developers on using PHPUnit and Pest. It details strategies for managing database states (e.g., RefreshDatabase) and effectively mocking external dependencies for robust application development.

Realtime Latency and Performance Engineering

latency-critical-systems

A comprehensive guide for optimizing latency-critical systems, such as market data feeds, real-time dashboards, and streaming agents. It details structured methods for mapping 'hot paths,' tracking key metrics (p95, p99 latency, throughput, freshness), and implementing architectural improvements like caching and batching to ensure high performance and data freshness under load.

Designing and Reviewing Agent Loops

loop-design-check

This skill guides the design and rigorous review of goal-oriented agent feedback loops. It helps ensure that complex autonomous multi-step agents are robust, preventing failures such as infinite looping, goal-gaming, or running to completion with incorrect assumptions. It covers defining machine-decidable goals, setting boundaries, and selecting the correct loop type (servo, regulator).

Integrating Transactional Email Sending Via Mailtrap

mailtrap-email-integration

A comprehensive guide for integrating transactional email sending into applications using Mailtrap's Email API. It covers critical best practices, including separating development (Sandbox) and production environments, implementing secure Bearer token authentication, and performing essential domain verification (SPF, DKIM, DMARC). Use this when building features like password resets or debugging email delivery pipelines.

Structured ML Integration Playbook

ml-adoption-playbook

A comprehensive, end-to-end methodology designed for software engineers and AI agents to safely and systematically integrate machine learning models into existing non-ML codebases. It guides users through critical phases, including problem framing, data readiness, architectural decoupling (via APIs/services), baseline model implementation, and final MLOps pipeline setup.

Nanoclaw Repl Japanese Localization Guide

This skill is intended for managing the Japanese translation and localization of the core nanoclaw-repl module. The current content serves as a placeholder, indicating that the Japanese translation is actively under development. Users are advised to refer to the original English source file for the full and functional version of the skill.

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