ztx4-advanced-3d
Deep implementation master for Advanced 3D / R3F / GPU with 33 targeted Codex skills, code, tests and no MCP. Additive to all existing Perfect_AI versions.
Files1
View on GitHubSKILL.mdskills/ztx4-advanced-3d/SKILL.md
GitHubAdvanced 3D / R3F / GPU
Build real, bounded, device-aware 3D scenes with fallback and measurable GPU/resource behavior.
Mandatory sequence
- Define intended visual, camera framing, lighting and interaction in a scene contract.
- Choose WebGL baseline; WebGPU is optional and requires installed-version and platform compatibility proof.
- Budget triangles, draw calls, material variants, texture memory, overdraw, particle counts and shader iterations.
- Provide low/medium/high quality tiers plus semantic non-WebGL content or image poster.
- Dispose textures, geometries, controls, render targets and subscriptions; test resize, context loss and reduced motion.
Skill routing
Choose only technique files needed for this project from DEEP-IMPLEMENTATION-v2/references/advanced-3d.md. Never indiscriminately load all 300+ skills into context.
Runbook
Inputs: scene brief, geometry/asset rights, GPU tier assumptions, content and accessible fallback.
Implementation: prefer one R3F Canvas, useFrame delta clamp, stable geometry/material buffers; choose technique appropriate to GPU tier; bound shader steps and dispose resources.
Tests: WebGL2/no-WebGL, context loss, 320/390/1440px framing, reduced motion, renderer.info counters, assert no unbounded RAF allocation.
Acceptance gates
- No WebGL still presents important text, meaning and CTA.
- Low GPU tier uses fewer geometry samples/passes/texture bytes and bounded frame budget.
- Resize/unmount/context loss create no leaked buffers, RAF loops or subscriptions.
Runnable assets
extensions/DEEP-IMPLEMENTATION-v2/examples and tools (installed main package). See RUNBOOK-FA.md.