Skill UI

A specialized reverse-engineering skill designed to extract comprehensive functional and non-functional specifications from existing, undocumented, or legacy codebases. It operates by analyzing code structure, tracing data flows, and identifying observable behaviors. The output is structured using EARS (Easy Approach to Requirements Syntax), providing clearer requirements documentation, architectural diagrams, and dependency maps for onboarding or system modernization.

This guide demonstrates the fundamental "Hello World" query using the Supabase JS/Python client. It covers creating a structured table, enabling Row Level Security (RLS), inserting a record, and successfully selecting it back. This is essential for verifying project connectivity, understanding the basic data round-trip pattern, and mastering initial database interactions in a new Supabase environment.

A guide to the Swift 6.2 concurrency model, which mandates default single-threaded execution to eliminate accidental data races. Learn how to use MainActor for isolated consistency and utilize the @concurrent attribute for explicitly offloading CPU-intensive tasks to background threads, ensuring safe and predictable application architecture.

This skill provides comprehensive guidance for the entire lifecycle of Conductor tracks—the logical work units used to organize features, bugs, and refactors. It assists users in creating, reviewing, updating specifications (spec.md), developing plans (plan.md), and managing the status and metadata of tasks from initial conception through final completion, ensuring structured and traceable development processes.

This guide provides a comprehensive setup for Vercel observability. It covers enabling built-in analytics, collecting detailed runtime logs, implementing structured logging, configuring external log drains (e.g., Datadog, Sentry), and integrating OpenTelemetry tracing. Use this when monitoring production deployments and setting up robust error tracking.

This skill functions as a documentation architect, capable of generating highly structured wiki catalogues and comprehensive onboarding guides directly from a codebase. It scans the repository, detects architectural patterns, identifies technical layers (presentation, business logic, data access), and creates two distinct guides: a Principal-Level Guide for seniors and a Zero-to-Hero Path for newcomers, ensuring every detail is cited with specific file paths.

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.

Python library for accessing SEC EDGAR filings, extracting XBRL statements, insider trading, and institutional holdings data to power financial analysis, screening, or structured data workflows across 10-K/10-Q/8-K/DEF-14A filings.

Apify Actorization is a process that transforms existing, standalone software or scripts (like CLI tools) into standardized, reusable serverless applications called Actors. Actors are packaged as Docker images, accepting structured JSON inputs and producing structured JSON outputs. This skill guides developers on migrating projects to the Apify platform, ensuring compatibility, and enabling scalable, event-driven data processing pipelines.

Generates complete, production-ready landing pages using Next.js/React and Tailwind CSS. It incorporates proven copywriting frameworks (AIDA, PAS, BAB), optimizes for SEO with structured data, and adheres to Core Web Vitals standards (LCP, CLS). Ideal for creating high-performing marketing homepages, lead capture forms, and campaign sites.

This skill guides the process of auditing and correcting critical HTML metadata elements, ensuring optimal performance for search engines and social media sharing. It covers page titles, meta descriptions, canonical URLs, Open Graph tags, Twitter cards, favicons, JSON-LD structured data, and robots directives. Use this when implementing or refining SEO metadata, fixing broken social previews, or setting up structured data.

An expert guide for developing production-grade AI applications, chatbots, and generative UIs using the Vercel AI SDK, Next.js, and React. Covers core concepts including streaming text (`streamText`), managing chat state (`useChat`), implementing complex tool/function calling, and ensuring robust structured data generation (JSON schemas) across multiple LLM providers.