Interactive

Creates algorithmic art through p5.js generative sketches. Users describe a creative vision, and the skill generates an 'algorithmic philosophy' manifesto followed by interactive HTML/JS code that produces unique visual art using flow fields, particle systems, and mathematical patterns.

This skill enables Claude to create algorithmic and generative art using p5.js. It follows a two-step process: first creating an 'algorithmic philosophy' describing the aesthetic movement, then implementing it as interactive p5.js sketches with seeded randomness, flow fields, particle systems, and parametric controls.

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

This skill provides comprehensive guidance for using Plotly, a Python library for creating interactive, publication-quality data visualizations. It covers 40+ chart types including scatter plots, bar charts, 3D surfaces, and geographic maps, along with styling, export options, and Dash integration for web applications.

This plugin transforms Claude into an interactive learning assistant that asks you to write meaningful code at key decision points (5-10 lines) instead of implementing everything automatically. It also provides educational insights about implementation choices and codebase patterns, helping you learn by doing rather than just watching.

A reference guide for implementing user interactions in Three.js 3D applications. Covers raycasting for click detection, various camera controls (Orbit, Fly, FirstPerson, PointerLock), drag controls, selection systems, keyboard input handling, and coordinate conversions between world and screen space.

Use when you need to run interactive CLI tools (vim, git rebase -i, Python REPL, etc.) that require real-time input/output - provides tmux-based approach for controlling interactive sessions through detached sessions and send-keys

A comprehensive guide for creating interactive data visualizations using D3.js. Provides detailed code patterns for bar charts, line charts, scatter plots, heatmaps, chord diagrams, force-directed networks, geographic maps, and hierarchical visualizations, along with reference materials for color schemes, scales, and responsive design.