Skill UI

Applies proven testing patterns (AAA, Given-When-Then, builders, spies, doubles) to help write maintainable unit, integration, and end-to-end suites, covering structuring, naming, TDD/BDD, and mocks across frameworks like Jest, Vitest, or pytest.

This guide provides comprehensive best practices for writing, structuring, and reviewing tests for Flutter and Dart applications. It covers unit tests, widget tests, golden tests, ensuring test validity, best practices for mocking, and file organization, helping developers write robust and meaningful tests that catch real regressions.

A comprehensive guide for writing and reviewing robust, behavior-first unit tests for Vue 3, TypeScript, and Pinia stores. This skill covers advanced patterns for testing components, composables, and state management using Vitest and Vue Test Utils, emphasizing black-box assertions and minimizing implementation coupling.

Comprehensive Python toolkit for building, analyzing, and visualizing complex networks; supports algorithms, I/O, generation, and community detection across social, biological, transportation, and citation data.

This guide details setting up a robust, local development loop for Adobe integrations (Firefly, PDF, Photoshop). It covers using the `aio` CLI for App Builder, implementing hot reload, and establishing unit/integration testing with mocking to ensure rapid, reliable iteration cycles for Adobe APIs.

A comprehensive guide to setting up a full-cycle local Web3 development workflow. This skill utilizes Alchemy as the RPC provider, Hardhat for local unit testing, and integrates Mainnet forking and Sepolia testnet deployment. It covers initializing the project, configuring smart contract interactions, and implementing advanced testing patterns.

This comprehensive guide details advanced strategies for optimizing performance when interacting with blockchain data using the Alchemy SDK. Techniques covered include implementing TTL-based caching for data freshness, achieving parallel multi-chain fetches, utilizing batch API calls (e.g., NFT metadata) to reduce Compute Unit (CU) costs, and adopting WebSockets for real-time event subscriptions. Essential for scaling robust, low-latency dApps.

A comprehensive guide to setting up robust CI/CD pipelines for Algolia indexing. This includes running unit and integration tests against live indices, validating index settings against defined configurations, and implementing automated reindexing upon deployment (e.g., triggering on version tags). It ensures the stability and data consistency of your search service.

This guide provides a comprehensive, reproducible workflow for setting up an Algolia local development environment. It covers creating separate development indices, seeding mock data, and implementing client mocking for unit tests. This process ensures fast, safe iteration cycles, allowing developers to build and test search features without ever touching production data.

Configure robust CI/CD pipelines for Apify Actor builds and deployments using GitHub Actions. This guide covers setting up unit tests on pull requests, running deep integration tests against the live Apify API, and automating the production deployment process upon merge. Ideal for maintaining reliable, high-quality scraping and automation projects.

Configure comprehensive CI/CD pipelines for BambooHR integrations. This skill guides users through setting up automated testing (unit and integration), managing secrets using GitHub Actions, and ensuring robust API health checks within their development workflow.

A comprehensive guide to setting up a fast, reproducible local development environment for BambooHR integrations. This workflow incorporates hot reloading, API mocking (using MSW), and robust unit/integration testing. It allows developers to establish a rapid, isolated, and stable iteration cycle for building or testing third-party HR platform connections.