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---
name: ztp3d-gaussian-splatting-alpha-compositing-and-sort
description: "Multi-Splat Alpha and Depth Ordering: specialized Perfect_AI quality workflow for Gaussian Splatting Engine."
---
# Multi-Splat Alpha and Depth Ordering
## Where this skill applies
Configure alphaTest/alphaHash with documented tradeoffs and inspect sorting artifacts when several splats overlap.
## Task-specific implementation plan
Prefer one loader/cache owner. Place splats on separate objects while sharing decoded data as documented. Compare alphaTest and alphaHash in movement; record halos/noise and TAA cost.
### Inputs and dependencies
- Existing project source and its installed versions, target browser, 3D scene/camera, ownership rules.
- Parent integration guide: `../ztp3d-gaussian-splatting/SKILL.md`.
- Working example and adapter: `../../src/adapters/splat-vanilla.mjs`.
- Upstream technical reference: https://github.com/pmndrs/drei-vanilla.
### Step-by-step operational checklist
1. Inspect target source files and preserve all existing behavior; explicitly name the owner of each component, canvas and animation timeline.
2. Validate input data and preconditions. For missing support, stop gracefully with a useful error and a visible fallback.
3. Implement multi-splat alpha and depth ordering through smallest observable patch, preferring local modules, deterministic data and reusable functions.
4. Include edge cases: empty assets, large assets, stale asynchronous work, component unmount, 320px mobile, RTL layout and prefers-reduced-motion.
5. Verify each change independently before enabling it in the full pipeline; record precise reproduction steps.
6. Test final rendering on browser and target device and collect screenshot, console and resource lifecycle evidence.
7. Classify final result as documented / implemented / unit tested / browser tested / actual GPU tested.
### Targeted acceptance tests
Render overlap at near/far distances with rotating camera; compare edge halos and draw order.
### Failure and rollback
- If a feature is unavailable, keep prior renderer or accessible HTML content intact and report why.
- If perf regresses, turn off the optional effect/plugin through an explicit feature flag.
- Do not change or delete upstream Perfect_AI skills; add new files or narrowly patch the destination application only on request.
- Always distinguish simulated/browser/device evidence.
### Example deliverables
- Implementation diff and dependency changes; deterministic fixture and tested commands.
- Baseline/target render screenshots and p95 frame-time notes where GPU work is involved.
- List of remaining limitations, security/privacy and licensing issues.