Skill UI

This skill enables the configuration and optimization of Windsurf's Supercomplete AI-powered code suggestions. Supercomplete provides intelligent, context-aware suggestions that significantly enhance developer productivity, going far beyond traditional autocomplete. Use this skill when setting up, customizing, or optimizing your code completion environment within the Windsurf IDE.

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 comprehensive bundle collects all necessary diagnostic information for troubleshooting and creating support tickets for Windsurf. It gathers environment details, redacted configuration files, activity logs, and workspace health into a single, compressed archive. Use this tool when encountering persistent bugs or when technical support requires deep system analysis.

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 leverages AI to analyze your application and automatically generate highly optimized Dockerfiles. It incorporates industry best practices like multi-stage builds, minimal base images, and robust security configurations. Use it when containerizing applications or needing to optimize existing Docker configurations for production deployment and efficient orchestration.

This skill facilitates the configuration and management of Single Sign-On (SSO) for Windsurf enterprise deployments. It supports industry-standard protocols like SAML 2.0 and OIDC/OAuth 2.0, allowing seamless identity integration with major providers such as Okta, Azure AD, and Google Workspace. Essential for administrators implementing centralized, secure enterprise authentication.

This skill facilitates the rapid installation and comprehensive configuration of essential extensions for the Windsurf IDE. It covers critical development aspects including language support, code linting, formatting, Git integration, and various productivity tools. Use this skill to set up, customize, or upgrade a cohesive and highly productive development workspace.

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 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.

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.

A comprehensive, multi-phase checklist designed for the systematic rollout of AI coding assistants (like Windsurf) to development teams or entire enterprises. It covers critical areas including workspace configuration, security hardening (SSO/SAML, secret management), establishing team AI policies, structured developer onboarding, key performance indicator (KPI) monitoring, and emergency rollback procedures.

This guide outlines critical reliability patterns for integrating advanced AI coding assistants into professional development workflows. It emphasizes best practices such as mandatory Git checkpointing, utilizing dedicated feature branches, breaking large tasks into incremental steps, and implementing comprehensive validation gates (linting, testing). Use this when developing fault-tolerant, AI-assisted applications to prevent accidental code breaks and maintain project stability.