Skill UI

A comprehensive style guide for implementing the Cyber Y2K aesthetic across web and mobile applications. This design package captures the retro-futuristic blend of late 90s/early 2000s digital culture, modern glitch art, and iridescent holographic gradients. It provides detailed code examples using CSS, SwiftUI, and Flutter to achieve key effects like RGB splitting, animated gradients, and aggressive vector typography.

This skill provides a comprehensive guide for implementing sophisticated, print-quality editorial design across web, iOS (SwiftUI), and Flutter platforms. It focuses on achieving an elegant, magazine-like aesthetic using classic techniques such as serif/sans-serif typography pairing, large drop caps, pull quotes, and columnar layouts. Ideal for content-heavy applications needing a sophisticated, literary feel.

Automatically generates a comprehensive, tabbed status page (artifact) for large-scale, multi-workstream projects. Ideal for tracking long-running initiatives like software migrations or major launches, providing a single source of truth covering background, plan, risks, and decisions. It generates a shareable, self-contained HTML page and supports delta reporting for easy updates.

This skill creates an actionable, one-page competitive battlecard designed for sales representatives. Use it when facing a specific competitor to build positioning statements, list key differentiators with proof points, anticipate common objections, and define strategic 'landmines' to use in live calls. It ensures your sales team is prepared for real-world competitive scenarios.

This skill enables querying Delta Lake tables and raw files stored in OneLake using DuckDB. It supports two primary modes: local execution via CLI/Python for ad-hoc analysis, and in-notebook execution within Fabric, combining DuckDB's speed with notebook context. Ideal for data exploration, schema discovery, and data quality validation across the Fabric ecosystem.

This skill conducts deep, structured competitor analysis using Browserbase's advanced discovery and enrichment tools. It generates a comprehensive HTML report that includes market overviews, detailed per-competitor deep dives (covering marketing, social, news, and technical aspects), side-by-side feature/pricing matrices, and comparative mentions feeds. Ideal for market researchers, product managers, and strategists needing actionable competitive intelligence.

This skill utilizes the Gemini Nano Banana Pro model to generate and edit high-quality images. It is ideal for users needing to create visuals, generate product mockups, design logos, or perform complex photo editing tasks based on text prompts. Supports file-based API calls for robust operation.

This skill guides users through structured, adaptive learning experiences for any topic. It diagnoses the user's current knowledge level and goal to create a personalized study path. It utilizes techniques like worked examples, retrieval questions, and spaced repetition to ensure deep understanding, making it ideal for self-study, skill acquisition, or subject review.

This skill generates compact, standalone, multi-lesson course artifacts suitable for study guides or mini-courses. It structures content with clear lesson plans, learning objectives, flashcards, quizzes, and source links, creating a self-contained, browser-ready learning experience optimized for knowledge retention.

This skill scaffolds the necessary configurations for advanced engineering workflows. It guides the user through setting up the issue tracking system (GitHub, GitLab, or local markdown), defining the canonical triage label vocabulary, and establishing the domain documentation context (single or multi-context). It must be run once to initialize the repository for subsequent agent-driven development skills.

This skill generates comprehensive, academic-style survey papers as a single, self-contained HTML file. By reading an anchor resource and curating research data, it structures the content and utilizes advanced LLMs (like Kimi K2.6 via Fireworks) to generate all prose, figures, and bibliographies, suitable for rapid academic literature review.

This meta-skill provides a comprehensive framework for the entire lifecycle of AI agent skills. It supports creating, refactoring, rigorously evaluating (e.g., Skill OS 2.0 Gates), and securely packaging skills from various sources like workflows, prompts, and documents. It ensures standardized, team-ready, and governed deployment of advanced AI capabilities.