Skill UI

Blueprint for designing comprehensive test suites, guiding when to add unit, integration, or E2E tests, selecting frameworks, managing data/mocks, and validating coverage and reliability.

This skill acts as an expert dependency manager, specializing in planning and executing safe, incremental upgrades for project dependencies. It provides comprehensive risk assessment, compatibility analysis, step-by-step migration guides, and robust testing/rollback plans to ensure system stability during major framework updates.

A comprehensive guide to configuring a structured, local development environment for LangChain applications. It covers setting up project architecture, managing dev dependencies, and implementing a two-tiered testing strategy: isolated unit tests using mocked LLMs (for fast, API-free testing) and robust integration tests using real API providers. Ideal for establishing a reliable, rapid iteration workflow.

Generates tailored disaster recovery plans and setup code that automate infrastructure configuration, encryption, testing, and multi-region failover for AWS or other environments when you request DR strategy or business continuity support.

Provides a comprehensive pytest-focused testing strategy for Python applications, covering TDD cycles, fixtures, parametrization, coverage tools, and test infrastructure setup for reliable suites.

This skill guides developers through advanced, safe, and systematic code refactoring using Test-Driven Development (TDD) principles. It provides a comprehensive workflow encompassing pre-assessment, detecting code smells, applying major design patterns (SOLID, Factory, Strategy), optimizing performance, and ensuring safety through rigorous, incremental testing. Use this when improving code structure, restructuring large components, or updating legacy systems while guaranteeing functional integrity and maintainability.

This comprehensive workflow provides a complete cycle of quality assurance for software development. It covers every stage from defining the test strategy (TDD, Unit Testing) through integration, E2E testing, browser automation, performance profiling, security scanning, and final code review. Use this when setting up robust testing infrastructure or ensuring production-ready software quality.

Offers testing guidance covering TDD workflows, unit/integration/E2E organization, framework support, mocking strategy, and coverage to help teams deliver reliable, well-structured test suites.

A comprehensive strategy for regression testing in AI-assisted development. It focuses on identifying systematic blind spots, such as schema inconsistencies between sandbox and production paths, and integrating automated bug checks into the development workflow. This guide teaches how to build robust, database-free API tests to ensure code quality when AI models contribute to the codebase.

A development methodology delivering changes in thin, verifiable slices. Ideal for multi-file changes, large tasks, or risky implementations. Ensures continuous working state through testing, simplicity, and rollback safety.

This guide details setting up a robust Continuous Integration (CI) pipeline for validating Lucidchart diagramming API integrations. It employs a two-tier testing strategy: fast, mocked unit tests for basic logic verification (no OAuth required), and comprehensive, live integration tests that run only on the main branch merge to confirm full CRUD operations and export functionality against the live Lucidchart API. It also includes best practices for managing API rate limits and common error handling.

A comprehensive guide and implementation for configuring the CI/CD pipeline for AppFolio property management APIs. It utilizes a two-tier testing strategy: fast, mocked unit tests for quick feedback, and slower integration tests running against the AppFolio sandbox environment on main branch merges. This ensures robust validation of API interactions and prevents contract drift before production.