Universal skill for accessibility best practices and standards across all technologies (HTML, CSS, React, MUI, Astro, React Native, etc.).

Skill for enforcing code quality and best practices using ESLint in JavaScript and TypeScript projects.

Provides standards-compliant best practices, conventions, and practical examples for implementing advanced data tables with AG Grid in React and TypeScript projects. Covers configuration,...

A simple example skill that demonstrates basic skill structure

Schema validation for JavaScript objects with expressive API.

This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal...

Modern JavaScript conventions and ES2020+ features.

Fetch and download images from the internet in various formats (JPG, PNG, GIF, WebP, BMP, SVG, etc.). Use when users ask to download images, fetch images from URLs, save images from the web, or...

Skill for building fast, optimized websites using Astro with TypeScript and optional React islands, including best practices for SSG and SSR. General conventions and accessibility are delegated to...

Utility-first CSS framework for rapid UI development.

Semantic HTML best practices for web development.

Material UI component library best practices for React applications.

Skill for general coding conventions and best practices shared across multiple skills (e.g., organization, documentation, type imports).

Clear and effective technical communication for documentation, code comments, and team collaboration.

Webpack module bundler configuration and optimization.

React component patterns, hooks, and best practices for modern React development.

Replace with description of the skill and when Claude should use it.

Extract key concepts from any content and create spaced-repetition flashcards. Multiple formats: Anki-compatible, printable PDFs, interactive web.

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.

Methodology for effective AI-assisted software development. Use when helping users build software with AI coding assistants, debugging AI-generated code, planning features for AI implementation,...