Automate Google NotebookLM via the notebooklm-py CLI and Python API — create notebooks, add sources (URLs, PDFs, YouTube, Drive), ask questions, generate podcasts/videos/quizzes/reports, and download artifacts. Use this skill whenever the user mentions NotebookLM, wants to create audio overviews or podcasts from documents, generate study materials (quizzes, flashcards), produce video explainers, build mind maps or infographics from research, or needs to programmatically interact with Google NotebookLM in any way. Also use when the user asks about setting up notebooklm-py, authenticating with NotebookLM, or integrating NotebookLM into scripts and CI/CD pipelines.
Performance optimization patterns for Next.js applications. Covers bundle analysis, React rendering optimization, database query optimization, Core Web Vitals, image optimization, and caching strategies.
Continuously tests and improves Claude Code skills using A/B experimentation and Auto Research ML loop. Provides quantitative metrics on skill effectiveness and automatically approves only changes that improve outcomes.
Use this skill to create or refactor React + TypeScript + Tailwind CSS + CVA components following design system conventions. It provides the canonical file structure, per-component styles pattern, types, context, store, barrel exports, and Storybook story templates that are specific to this codebase. Invoke whenever the user wants to build a new UI component, add CVA variants or sub-components, set up component context or store, create barrel exports, write component stories, or restructure an existing component directory — even for tasks that seem straightforward like "create a Button" or "add a variant", because the skill ensures correct file placement and naming conventions.
Tailwind CSS v4 patterns with CSS-first configuration, @theme directive, design system integration, and utility-first styling for Next.js applications.
Firestore database layer for Next.js. Use when user asks to "Firestore query", "Firebase Admin SDK", "CRUD for Firestore", "seed Firestore", FieldValue.serverTimestamp(), Firestore transactions, "db collection query", "implement database queries", "Firestore error handling", "ServiceError for Firestore". Implements the ServiceError contract defined in the error-handling skill.
Comprehensive error handling for Next.js applications — use whenever adding or fixing error handling, building database or service layer operations, writing server actions, or making an app production-ready. Covers ServiceError (typed error contract for any external service: DB, API, network), tuple return pattern [error, data], ActionResponse for server actions, React error boundaries, toast notifications, retry with exponential backoff, and circuit breaker patterns. Trigger on: "add error handling", "handle database errors", "handle service errors", "retry failed requests", "error boundary", "handle action errors", "toast on error", "log errors", "circuit breaker", "graceful degradation", "categorizeServiceError", "ServiceError".
Structured logging patterns with Pino for Next.js applications. Covers log levels, context enrichment, child loggers, and production best practices.