Skill UI

This comprehensive guide outlines the best practices and structured methodology for developing specialized skills for AI coding agents. It provides detailed instructions on integrating Azure SDKs and Microsoft Foundry services, covering crucial topics like secure authentication patterns (DefaultAzureCredential), modular workflow design, and maintaining concise, effective knowledge context for optimal agent performance.

This guide provides production-ready patterns for implementing the TwinMind AI memory and meeting intelligence REST API. It covers best practices for authentication, storing contextual memories, searching knowledge bases, and processing meeting transcripts to extract actionable insights. Use this when building robust, scalable AI-powered applications or standardizing team coding practices.

This skill facilitates the rapid and standardized onboarding of new projects onto the Windsurf platform. It optimizes the development environment by configuring the Cascade AI agent, establishing necessary project rules (.windsurfrules), setting team context defaults, and ensuring best practices for AI-assisted coding. Use this when initiating a new project or integrating a team to maximize AI efficiency.

A comprehensive guide to diagnosing and resolving common errors within the Windsurf Integrated Development Environment (IDE). Covers critical issues such as Cascade panel failures, Supercomplete suggestion glitches, indexing slowdowns, and extension conflicts, helping users maintain an optimal coding workflow.

This skill integrates advanced AI assistance into Git workflows within the Windsurf IDE. It automates complex source control tasks, including generating descriptive commit messages from staged changes, suggesting optimal branch names, assisting with merge conflict resolution, and streamlining common Git operations. Ideal for developers managing version control or needing robust support for collaborative coding environments.

This skill provides a comprehensive, hands-on introduction to Windsurf's core AI capabilities. Users will experience Supercomplete for advanced tab completions, Cascade for agentic chat and direct code modifications (Write mode), and Command for targeted inline code adjustments. It is ideal for developers starting with Windsurf or needing a quick overview of its powerful IDE integrations.

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.

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 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 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.