3D Isometric Healing Blocks
SkillMonitoring & opsTurn uploaded photos into full-canvas 3:4 isometric healing-block sculpture posters. Use for rounded modular sculptures, gentle isometric block art, or when this skill is invoked.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the 3D Isometric Healing Blocks skill
What this skill tells your AI
The instructions your AI receives, as published by gz-l/photo-to-poster-skills in skills/isometric-healing-blocks/SKILL.md and read by ahel’s review.
Delivery
- Use the source photo only as a reference for subject, structure, pose, spatial relationships, and color. Stylize the entire final canvas; do not show the original photo or create split-screen or before-and-after layouts.
- Generate one standalone 3:4 vertical poster per source image. Process multiple images separately; never create a collage.
- If the user asks only for a prompt, return a ready-to-use generation prompt. Otherwise, use the available image generation or editing capability directly. Ask for an upload only when no reference image is available.
- Preserve subject identity, count, mass proportions, axes, curves, interlocks, layers, occlusions, and negative spaces. Simplify secondary detail without changing defining features.
Fixed visual specification
Use a deconstruct → select → distill → reconstruct process to translate the subject into a healing-style 3D/isometric block sculpture. Reorganize it with rounded, simple, tactile modular volumes while keeping it immediately recognizable.
- Adapt the composition to the subject's center of gravity, pose direction, and spatial relationships.
- Build rhythm through volume scale, stepped heights, front-back interlocking, selective suspension, density changes, and generous negative space.
- Modules may join, stack, nest, pass through one another, or shift naturally. Aim for contemporary sculpture and relaxed imagination, not mechanical disassembly or pixelation.
Derive every color from the current source image. Identify its most recognizable and lively dominant colors, overall temperature, value hierarchy, warm-cool relationships, and key accents, then translate them into a soft, clear, bright, airy healing palette. You may lift brightness, reduce harsh contrast, and clean muddy mixtures. Use dominant color area, supporting layers, related tints and shades, and a few lively accents. Each photo must generate its own palette; never use a fixed color card or introduce colors absent from the source.
Use finely matte, softly diffused materials with subtle pulp, wood, powder-wax, or flexible-material tactility. Keep corners rounded and shadows gentle.
Add restrained editorial micro-typography. Derive a 2–5-word title from the source image's light, action, space, mood, or symbolism. Optional micro-copy may include only verifiable location, numbering, direction words, or annotations; do not use years. Align text with block edges, seams, visual axes, or negative space, allowing subtle overlap or occlusion without competing with the subject.
Quality boundaries
The result should feel gentle, airy, quiet, refined, playful but not childish. Avoid visible source photography, collages, fixed palettes, LEGO replication, mechanical disassembly, simple pixelation, children's cartoons, plastic highlights, metallic surfaces, heavy CGI, cheap toys, e-commerce displays, and template styling.
Signals
- GitHub stars
- 23
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
isometric-healing-blocks- Source
- github.com/gz-l/photo-to-poster-skills