Skill UI

This skill guides the development of custom extensions for the Windsurf environment, leveraging the full VS Code Extension API. You will learn to track various workspace events—such as file saves, editor changes, and terminal outputs—and integrate this data with external services by sending structured webhooks. This is essential for building complex workflow automation, implementing custom IDE features, or creating data analytics tools within the development lifecycle.

A comprehensive workflow bundle covering the entire lifecycle of WordPress development. It guides users through creating custom themes, developing functional plugins, integrating WooCommerce, and optimizing performance. Crucially, it includes steps for implementing advanced WordPress 7.0 features such as Real-Time Collaboration (RTC), AI Connectors, and DataViews, ensuring modern, production-ready site builds.

A comprehensive, multi-phase workflow for developing professional WordPress plugins. Covers foundational architecture, hooks, admin UI, database design, and REST API implementation. Crucially, it incorporates advanced WordPress 7.0 features, including Real-Time Collaboration (RTC) compatibility, AI Connector integration (OpenAI, Claude, etc.), and the Abilities API, ensuring modern, scalable, and secure plugins.

This comprehensive workflow guides developers through creating custom WordPress themes from scratch. It covers theme architecture, template hierarchy, custom post types, advanced Gutenberg block editor support, and incorporates the latest features slated for WordPress 7.0, such as Patterns and Admin Refresh, ensuring modern and functional development.

A comprehensive workflow for building and optimizing e-commerce stores using WooCommerce. This guide covers all phases, including store setup, payment gateway integration, shipping configuration, and custom product types. It heavily integrates advanced WordPress 7.0 features, such as AI-powered content generation, fraud detection, and real-time team collaboration tools, ensuring a modern, highly functional online store.

This skill provides guidance for implementing tasks using structured workflow patterns, specifically following Conductor's TDD (Test-Driven Development) workflow. It helps manage phase checkpoints, organize git commits, and execute rigorous verification protocols. Use it when adhering to a defined development plan, ensuring quality gates are passed, and managing the entire lifecycle from initial planning to final validation.

This skill provides complete, programmatic integration with the protocols.io API v3, enabling advanced management of scientific protocols. Use it for the entire protocol lifecycle, including discovery by DOI or keywords, creating new protocols, managing steps and materials, coordinating collaborative development, organizing workspaces, and tracking experiments. It covers authentication, file handling, and discussion management, making it ideal for automated lab workflows and scientific documentation systems.

This guide provides a comprehensive walkthrough for developing and deploying Apify Actors. Actors are serverless, containerized applications designed for powerful tasks like web scraping, data processing, and complex automation. Learn the mandatory setup, template selection (Python, JS, TS), step-by-step development workflow, and crucial security best practices for building robust, production-ready data pipelines.

This comprehensive guide outlines a rigorous, human-in-the-loop engineering workflow for leveraging advanced AI agents to complete complex implementation tasks. It mandates defining clear completion criteria, decomposing work into manageable units, and strategically routing models (Haiku, Sonnet, Opus) based on task complexity. The workflow emphasizes continuous evaluation, regression testing, security review of invariants and edge cases, and strict cost discipline to ensure robust and reliable software development using AI assistance.

This model provides an engineering operational framework for teams that leverage AI agents to generate large volumes of code. It shifts the focus from simple syntax to process quality, robust architecture design, rigorous testing, and systematic risk control, ensuring the development of highly stable and reliable systems in AI-assisted environments.

This command guides the entire lifecycle of major feature development, providing a structured, multi-phase workflow. It helps users move a feature from initial concept (research) through planning, implementation, and progress tracking. Use it when you need to coordinate status, next steps, and phased delivery for complex features.

This skill outlines a comprehensive methodology for designing, building, and deploying robust LLM-powered applications. It covers assessing task-model fit, designing modular pipelines (acquire -> prepare -> process -> parse -> render), and managing state using file systems to ensure scalability and reliability in AI systems.