y3-gen-terrain-from-image

To generate Y3 Editor terrain from a 2D map image, provide the image file path so the CV+AI pipeline can cluster colors, detect water and continents, and write terrain grids via MCP tools.

Computer vision clustering detects water and continents by analyzing the 2D map image's colors, splitting continents to generate grid-aligned CSV inputs, ensuring terrain layout comes from the image rather than guessing.

Yes, you need an active MCP connection because the Skill writes terrain layers and texture grids directly into your loaded Y3 map through MCP tools, featuring failure-safe MCP connection handling during the process.

Yes, you can use hand-drawn planning sketches to place environment decorations in Y3 Editor, as the pipeline identifies decoration intent like trees, bridges, and land motifs from the image before writing via MCP.

Limitations include strict validation rules: you must run get_map_info for dimensions first, perform CV clustering before CSV generation, and use a fixed working output directory for the generated terrain_grid.csv and texture_grid.csv files.