Skill UI

This guide outlines production-ready patterns for integrating SerpApi into robust search services. It covers essential best practices, including defining typed result interfaces for type safety, implementing LRU caching to conserve API credits, and building multi-engine abstractions to handle various search types (web, news, images). It also demonstrates asynchronous search processing for non-blocking operations.

This skill guides developers through advanced techniques to optimize Shopify store performance and improve Core Web Vitals (LCP, CLS, INP). It covers fixing lazy-loaded hero images, migrating to the modern `image_url` filter for responsive images, profiling slow Liquid renders, and optimizing font delivery, ensuring a fast and professional e-commerce experience.

This workflow automates the creation of step-by-step documentation guides using the TechSmith Snagit COM API and PowerShell. It first captures a series of sequential screenshots for a guide, and then uses a batch process to open and annotate these images within the Snagit Editor, ensuring consistency and efficiency in creating professional tutorials.

A comprehensive guide for developing custom editor components, theming, and CMS integration for the Website Builder using Next.js. Developers learn to register components, define configurable inputs (text, color, image, lexical), handle complex props, and understand the unique Admin iframe architecture.

This skill generates complete, publication-ready, and SEO-optimized blog posts for WordPress. It enforces professional structure, factual rigor, and comprehensive SEO elements like Yoast metadata and JSON-LD schema, along with image SEO planning. It is ideal for content strategists and copywriters needing high-quality, engaging, and searchable articles.

Captures complete, full-page screenshots of any modern web page using the Chrome DevTools Protocol (CDP). Unlike standard tools, this utility handles Single Page Applications (SPAs), scrolling content, lazy-loaded images, and complex scroll containers, ensuring the entire visible content is captured in a single, high-fidelity PNG file. Ideal for documenting complex web flows and testing.

A powerful utility that converts Markdown (`.md`) files into richly formatted Word (`.docx`) documents. Built using pure JavaScript, it requires no external dependencies like Pandoc or LibreOffice. Features include automatic generation of title pages (from YAML front-matter), dynamic table of contents, and accurate embedding of PNG images, making it ideal for technical documentation and reports.

Generates professional PNG icon image sets for the Xcode Asset Catalog, supporting both massive open-source collections via Iconify API and native Apple symbols via SF Symbols. Use this tool to streamline the creation, search, and replacement of app icons, ensuring consistency in style, size, and color across your iOS project.

A comprehensive CI/CD pipeline for Quarkus applications, designed to verify code quality and deployment readiness. It covers all phases: build, static code analysis (SonarQube, Checkstyle), rigorous functional testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native image compatibility testing, performance load testing (K6), and container image validation (Trivy, Grype).

A powerful Python skill for adding professional callouts, arrows, and labels to various images, including screenshots, diagrams, and architecture documents. It allows users to visually highlight specific areas or changes. The advanced `annotate.py` module provides algorithmic label placement, optimizing for readability and preventing overlaps. Ideal for creating clear PR descriptions, documenting changes, or building annotated demo assets.

A comprehensive guide on embedding before-and-after screenshots directly into pull request descriptions. This skill helps reviewers visualize UI changes, layout adjustments, and data visualizations instantly, without needing to check out the branch. Includes best practices for image sizing, structured Markdown patterns, and specific API/upload guidance for Azure DevOps and GitHub.

Fast local parsing of PDFs, Office files, and images with per-token bounding boxes. Extract spatial text, run OCR on scans, produce layout-preserved JSON for RAG, batch-ingest folders, and render pages to PNG for multimodal agents. Fully local, no cloud API.