Skill UI

A comprehensive runbook for handling critical incidents related to Windsurf AI features, service outages, or production bugs caused by generated code. It guides teams through triage, mitigation (including Git reverting), root cause analysis, and post-incident reporting to ensure rapid recovery and process improvement.

Windsurf is a powerful, AI-powered code editor built on VS Code. This guide covers the complete setup process, including initial installation for macOS/Linux/Windows, crucial Codeium authentication using Google/GitHub, and advanced configuration for enterprise or team deployments. Learn to use Supercomplete and interact with the Cascade AI agent to boost your development workflow.

This skill allows users to customize and optimize keyboard shortcuts within the Windsurf IDE, covering AI features, multi-file editing, and custom workflow bindings. It is used when setting up, reviewing, or adapting keybindings for maximum productivity and ergonomic efficiency.

This guide outlines common anti-patterns and critical mistakes when using the Windsurf AI IDE. It covers best practices for prompt engineering, managing workspace scope (especially in monorepos), distinguishing between Supercomplete and Cascade usage, and ensuring safe, maintainable AI-assisted coding workflows. Essential for new developers and team auditors.

This skill provides comprehensive, AI-assisted linting configuration for ensuring high code quality standards. It assists with setting up and integrating major linting tools (such as ESLint, Prettier, and Stylelint), helping resolve complex configuration conflicts, suggesting best practices based on project patterns, and fully automating code quality enforcement across the development lifecycle. Use this when establishing or refining coding standards for a project.

Guides the setup of a high-efficiency, AI-augmented local development loop. This skill integrates features like Cascade editing, in-IDE Previews, and Turbo mode command execution, enabling developers to quickly iterate, debug, and commit changes within a structured environment. Ideal for setting up new projects or optimizing existing development workflows.

This comprehensive guide outlines the process of migrating development teams from established AI Integrated Development Environments (IDEs) like VS Code/Copilot or Cursor to Windsurf. It covers technical steps such as converting project rules, transferring settings and keybindings, and planning a structured, phased team rollout and rollback strategy for a smooth transition.

This guide outlines best practices for configuring IDEs and AI context management across complex, multi-service monorepos. It is essential for onboarding new teams, standardizing coding standards, and ensuring consistent development workflows for services across multiple deployment environments (Development, Staging, Production). Focuses on architectural rules, shared settings, and environment-specific deployment context.

This skill enables complex, coordinated multi-file editing operations within the Windsurf IDE using Cascade AI. It ensures atomic changes, maintaining consistency when performing cross-file refactoring, renaming symbols, or modifying code across project boundaries. Use this when needing to make large, interdependent changes across multiple source files.

This skill provides AI-assisted performance profiling within the Windsurf IDE. It analyzes collected profiling data to pinpoint performance bottlenecks, suggest specific optimizations, and predict the impact of code changes. Use it when optimizing application speed, refining complex algorithms, or general performance tuning in a coding environment.

This comprehensive guide offers detailed steps to optimize the Windsurf IDE experience. It addresses common performance bottlenecks such as slow indexing, high memory consumption, and inefficient AI context building (Cascade). Users will learn best practices for configuring exclusion patterns, managing focused workspaces, and tuning IDE settings for maximum development efficiency.

This policy set establishes comprehensive guardrails for using AI coding assistants (like Windsurf/Cascade). It governs terminal commands, enforces workspace isolation (preventing access to secrets/credentials), and integrates CI/CD gates for code quality. Use this when setting up team development standards, mandatory code review policies for AI output, or implementing secure development pipelines.