Detect and revise AI-generated language patterns in documentation to ensure authentic, human-quality writing. Use when reviewing lesson MDX files (or any v1 RST), checking for AI patterns, humanizing documentation, or preparing content for thesis submission. Activate when user says "check for AI patterns", "revise text", "humanize", "ai audit", or "check documentation quality".
Comprehensive validation for Pixels2GenAI v2 lessons. Use when validating ported v1 Python scripts, checking copied lesson assets, type-checking MDX frontmatter, running the Astro build, or performing quality audits on a lesson. Activate after porting a lesson, before marking a lesson as shipped, or when debugging build/render errors.
Generate, evaluate, and execute exhibition-ready static visual art concepts for the Pixels2GenAI exhibition. Use when the user wants to brainstorm new art pieces, create exhibition prints, explore visual ideas combining multiple module techniques, or says things like "new art idea", "generate a piece", "exhibition visual", "static print", "art concept", "combine techniques", "cross-module art", or "what should I make next". Also trigger when the user references specific technique combinations (e.g., "fractals + noise", "activation functions + voronoi") or asks for print-ready visuals. This skill handles the full pipeline from ideation through execution and refinement.
Port a v1 lesson (RST + Python + images) into a v2 MDX lesson with copied assets and wired-up catalog entries. Use when migrating an existing curriculum exercise from numpy-to-genAI into Pixels2GenAI-v2, when the user says "port lesson X.Y.Z", "migrate X.Y.Z to MDX", "bring lesson X.Y.Z into v2", or references a leaf id that doesn't yet have a `lessonSlug` in src/data/curriculum/subtopics.ts.