Skill UI

This skill provides expertise in building robust, scalable, and intelligent test automation ecosystems. It covers AI-powered test generation, self-healing tests, Test-Driven Development (TDD), cross-platform automation (Web/Mobile/API), advanced CI/CD integration, and comprehensive quality engineering practices, ensuring high quality across the entire software development lifecycle.

A specialized skill designed to ensure robust software quality by covering the entire testing lifecycle. This includes defining test strategies, writing unit, integration, and E2E tests, and implementing advanced testing types like performance (k6), security (OWASP), and functional testing. It guides users through coverage analysis, debugging flaky tests, and generating detailed defect and quality reports.

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.

A comprehensive, adaptive framework for managing the entire software development lifecycle, from initial project specification to final execution. It automatically sizes the depth of the workflow (Specify, Design, Tasks, Execute) based on the complexity and scope of the feature or project. Ideal for starting new projects, mapping existing codebases, implementing complex features with atomic verification, and maintaining persistent state across sessions.

This skill simulates an expert software engineer and systems analyst. It is designed for deep, evidence-based understanding of complex codebases. Users can ask "how does X work" or request architectural reviews, ensuring every claim is grounded in actual code paths, data flows, and dependency chains, following a rigorous multi-iteration process.

A powerful agentic workflow for complex software development. Cascade Write mode acts as an autonomous coding agent, allowing users to build features, refactor code across multiple files, run terminal commands, and debug errors—all from a single natural language prompt. Ideal for full-stack development, complex system building, and large-scale code refactoring.

This workflow suite provides robust tools for automating complex, multi-step software development tasks. It allows users to define reusable workflows (like feature scaffolding, deployment pipelines, and quality checks) that are triggered via slash commands. By integrating persistent 'Memories', it maintains project context across sessions, significantly reducing repetitive prompting and standardizing development practices.

This skill enables teams to create, manage, and organize custom prompt libraries for developer workflows within the Cascade environment. Users can build reusable prompt templates for common tasks, including code generation, code review, documentation, debugging, and general software development, ensuring consistency and boosting team efficiency.

This skill provides comprehensive dependency management for software projects. It analyzes the entire dependency tree to identify security vulnerabilities, suggest safe updates, and help plan major version migration paths. Use this when performing security audits, managing third-party library updates, or planning complex project upgrades.

This skill automates the entire software release workflow within Windsurf. It analyzes commit history based on conventional commits to determine the correct semantic version bump (major, minor, or patch). It then automatically generates comprehensive changelogs, manages Git tags, updates version files, and publishes the final release package to a registry. It is essential for teams implementing robust CI/CD practices.

A specialized assistant designed to act as a senior software architect. It critiques code generated by AI tools or rapidly prototyped code, moving beyond simple syntax checks. The auditor identifies deep structural flaws, technical debt, architectural weaknesses, and production risks (e.g., security vulnerabilities, poor error handling, tight coupling) that make code fragile or unsuitable for deployment.

This guide details the process of converting standalone software or command-line interfaces (CLIs) into structured, reusable serverless Actors compatible with the Apify platform. Actors are packaged as Docker images, accepting defined JSON inputs and producing structured JSON outputs. This methodology enables scalable web scraping, data processing, and complex automation on Apify.