Skill UI

A practical decision framework for determining whether to use regular expressions or Large Language Models (LLMs) when parsing structured text (e.g., forms, quizzes, invoices). It recommends starting with deterministic, low-cost regex for 95-98% of structured data, and only invoking expensive LLM calls for identifying and validating ambiguous edge cases, optimizing both cost and accuracy.

Designs shareable generator tools that go viral by blending social psychology, generator architecture, and share optimization for quizzes, avatars, names, calculators, and personality tests.

Interactive training for the GitHub Copilot CLI with guided lessons, quizzes, scenario challenges, and a reference covering slash commands, shortcuts, agents, MCP, and configuration; say “cliexpert” to begin.

This comprehensive workflow manages the end-to-end life cycle of sales readiness training on the MindTickle platform. Users can create complex courses containing mixed media (videos, documents, quizzes). It allows assigning courses to teams with due dates, tracking learner progress and quiz scores via analytics API, and updating content modules as business needs evolve.

Utilize this workflow to build comprehensive quizzes and competency assessments within MindTickle. It allows users to create detailed question banks, assign timed tests to specific teams, automatically grade submissions, and generate detailed analytics on pass rates, average scores, and knowledge gaps. Ideal for managing sales enablement certifications and tracking representative readiness.

This guide details the complete deployment process for a containerized MindTickle integration service. The service manages sales readiness courses, tracks learner progress across quizzes and certifications, and reliably synchronizes enablement data using the MindTickle API. It covers advanced topics including multi-stage Docker builds, robust health checks, rolling updates, and comprehensive error handling procedures for professional deployment.

This guide provides a minimal working example demonstrating core MindTickle API functionality. It shows how to programmatically create structured training modules (including videos and quizzes), assign them to specific teams or users with deadlines, and track user progress and overall completion rates using analytics endpoints. It is ideal for integrating Learning Management System (LMS) functionality into internal corporate tools and automating onboarding processes.

This comprehensive skill provides expert guidance for integrating with Google NotebookLM programmatically, covering both the `nlm` Command Line Interface (CLI) and Measurement/Control Plane (MCP) tools. Use it to automate workflows, manage notebooks, add diverse sources (URLs, YouTube, Drive), and generate various complex content types, such as reports, quizzes, mind maps, and videos. Essential for developers building upon NotebookLM's advanced research capabilities.

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.

A practical decision framework for determining whether to use regular expressions or Large Language Models (LLMs) when parsing structured text (e.g., forms, quizzes, invoices). It recommends starting with deterministic, low-cost regex for 95-98% of structured data, and only invoking expensive LLM calls for identifying and validating ambiguous edge cases, optimizing both cost and accuracy.

An advanced, AI-assisted tool for generating high-quality multiple-choice questions (MCQs) suitable for various academic levels. It supports both light, gamified quizzes and deep, evaluative assessments with detailed feedback. The system ensures factual accuracy through rigorous document research and allows export to major platforms like Moodle, Kahoot!, and Wooclap.

Comprehensive guide for using Gemini Notebook (formerly Google NotebookLM) via the nlm CLI and MCP server. Covers notebook creation, plan usage checks, source addition, content generation (podcasts, reports, quizzes, flashcards, etc.), research, and automation workflows. Essential for programmatic interaction with Gemini Notebook.