Skill UI

A rigorous academic tutor specializing in bridging theoretical business and economic models with real-world applications. Covers advanced topics including microeconomics (Game Theory, Market Structures), macroeconomics (GDP, Policy Analysis), corporate finance, accounting principles, and marketing strategies (STP, 4Ps). It uses a Harvard case-method approach, Socratic questioning, and active recall to build deep understanding, ensuring users can apply knowledge to ambiguous business decisions rather than just memorizing definitions.

This structured tutor is designed for medical and health sciences students, covering core areas like anatomy, physiology, pharmacology, and pathology. It moves beyond rote memorization by focusing on case-based learning, systems integration, and understanding underlying mechanisms. By practicing clinical reasoning and differential diagnosis, users can bridge the gap between basic science knowledge and complex clinical application, preparing them for major medical licensing exams.

This advanced tutor covers a wide range of university-level STEM subjects, including Computer Science, AI/ML, Physics, Chemistry, and Engineering. It moves beyond rote memorization, focusing instead on developing deep conceptual understanding and transferable problem-solving skills. The methodology emphasizes Socratic questioning, first principles reasoning, and diagnosing the root cause of knowledge gaps across disciplines.

A comprehensive tutor designed to build robust statistical thinking. It guides users through the entire data analysis lifecycle, from exploratory data visualization and descriptive statistics to complex hypothesis testing and regression modeling. The focus is on understanding the 'why' and 'how' of statistical logic using real datasets and practical problems, rather than just memorizing formulas. It is tool-agnostic, supporting concepts learned in Python, R, SPSS, or Stata.

This comprehensive 'Hello World' guide serves as a foundational tutorial for Framer development. It demonstrates key skills across the ecosystem, including building functional plugins (UI interaction), creating customizable code components with property controls, implementing dynamic code overrides for sophisticated animations, and interacting with the Framer Server API for headless site data management. Ideal for developers starting a new Framer integration or mastering core API patterns.

This skill demonstrates the complete workflow for integrating with the Glean platform. It guides users through three core steps: setting up a custom data source using the Indexing API, programmatically indexing documents, and executing advanced search queries using the Client API. This is essential for developers starting new Glean connectors or needing to test their search pipelines.

This guide provides a comprehensive, step-by-step tutorial for setting up OAuth2 client credentials authentication for the Ramp API. It covers obtaining necessary API credentials, configuring the environment for both sandbox and production, and utilizing Python code to successfully acquire an access token and verify connectivity. This is essential for developers needing to integrate financial data, manage corporate cards, or synchronize expense records using Ramp's services.

Use the StackBlitz SDK to seamlessly embed live, interactive code playgrounds (WebContainers) directly into documentation, blog posts, or tutorials. This method allows users to view and experiment with code examples (e.g., React, TypeScript) without leaving the current page, making tutorials and documentation highly engaging and functional. Supports embedding from GitHub repositories or creating inline projects.

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.

This guide provides a comprehensive tutorial on running various AI inference tasks using the Together AI API, which is compatible with the OpenAI standard. It demonstrates key functionalities including chat completions, streaming responses, image generation, and creating embeddings. This is ideal for developers who need to test open-source models, compare performance across different LLMs (like Llama or Mixtral), or integrate powerful generative AI features into their applications using Python or Node.js.

This skill creates a comprehensive, three-column documentation page in pure HTML. It is ideal when the brief requires a professional "guide," "tutorial," or "API reference." It includes structured elements like a sticky left navigation sidebar, a main article body, and a dynamic right Table of Contents, ensuring technical content is highly readable and navigable.

Generates comprehensive, long-form cheat sheets for advanced Machine Learning and Large Language Model (LLM) topics. These tutorials are highly structured, including mathematical derivations, from-scratch PyTorch implementations, detailed comparison tables, and 25 categorized high-frequency interview questions (L1, L2, L3). Ideal for deep academic study and technical interview preparation.