Skill UI

This skill simulates a senior documentation engineer, generating highly comprehensive, evidence-based technical documentation pages. It strictly adheres to engineering best practices, including tracing actual code paths, citing every non-trivial claim with file paths and line numbers, and providing multiple required diagrams (Mermaid format). It structures content from 'Why' (First Principles) through Architecture, Data Flow, and Implementation details, suitable for deep technical deep-dives and wiki content creation.

This skill provides precise answers to complex questions about a software repository by grounding all responses entirely in the source code. It is designed for users who need to understand how specific components, functions, or files work, or when they need to pinpoint the exact location where a variable or feature is defined within the codebase. All answers include inline citations for full traceability.

This skill simulates an expert software engineer and systems analyst. It excels at deeply understanding complex codebases by tracing actual execution paths, mapping data flow, and analyzing architectural patterns. Use it when you need an evidence-based, in-depth breakdown of 'how X works,' requiring detailed investigation across multiple files and system modules.

This skill transforms raw wiki Markdown files into a polished, professional VitePress static website. It automatically scaffolds the required build structure, applies a fixed dark theme, and includes advanced rendering for interactive Mermaid diagrams (utilizing a three-layer fix process). Use this when users need to package generated wiki content into a fully browsable, modern, and structured HTML documentation site.

Auto-activating skill that guides analytics teams through designing and validating window function generator workflows and SQL patterns.

This skill enables AI-assisted API development workflows. It can generate type-safe API clients, comprehensive documentation, and SDKs for multiple languages (such as Python or TypeScript) directly from OpenAPI/Swagger specifications. It is essential for developers building complex integrations or needing to standardize API usage across multiple platforms.

This skill provides comprehensive guidance on selecting the optimal workspace architecture for Windsurf, adapting to various project scales. Whether managing small solo projects, large monorepos, or complex multi-service, polyglot systems, it outlines strategies for structuring file systems and configuring rules. The goal is to ensure that AI tools receive accurate and focused project context, maximizing developer efficiency.

This skill enables comprehensive audit logging for Windsurf Enterprise deployments. It covers tracking of AI interactions, file access events, authentication changes, and overall configuration modifications. It is essential for maintaining strict compliance standards and performing detailed security audits, particularly when the user mentions audit or compliance keywords.

This skill enables the creation and configuration of specialized Cascade agents tailored for specific domains or tasks. Users can define system prompts, integrate domain knowledge, and set precise activation triggers. It facilitates building highly customized, domain-specific AI agents and automated workflows within the Windsurf ecosystem.

This skill provides advanced context management for AI in large-scale, complex codebases. It optimizes context windows, ensures memory persistence across multiple sessions, and helps prioritize critical information. Use it when working with massive code repositories to maintain context and improve developer workflow.

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.

This skill guides the integration of Windsurf workflows into CI/CD pipelines (like GitHub Actions). It provides comprehensive mechanisms for validating configuration files and enforcing AI code quality standards. Use it to automate policy checks, detect hardcoded secrets, ensure sufficient test coverage for new files, and manage complex config deployments across repositories, ensuring highly reliable and compliant code merges.