初始提交：3 款纯音频游戏 + 共享引擎 + 完整文档与资产管线

- 共享引擎（app/src/main）：GestureEngine 6 手势识别、AudioEngine 三层音频
  （ExoPlayer BGM 交叉淡入 / 对白 ducking / SoundPool 低延迟）、Game/GameEngine
  状态机接口、MainActivity 全屏封面 + TalkBack
- 《声命线》storyline：末世互动广播剧，3 幕 8 抉择点 4 结局
- 《声东击西》reflex：听声辨位反应，12 波战斗 + BGM 三档 BPM 变速
- 《暗室》escape：3x3 网格密室逃脱，钥匙→铁柜→保险丝→电箱→大门谜题链
- 文档：setup（从零搭建）/ architecture（架构）/ engine-api（引擎 API）/
  asset-pipeline（资产流水线）/ games/*（三款游戏设计文档）
- 资产管线：Qwen3-TTS 对白 + 程序合成音效/BGM + Mureka BGM 的 gen 脚本与台账，
  全部 ogg 资产入库可复现
- env.d 环境脚本：android/tts 入库；sfx/mureka 含密钥不入库，仅提交 .example.sh 模板

tools/stable-audio-3/optimized/README.md

@@ -0,0 +1,46 @@
+# Optimized runtimes
+
+Platform-specific runtimes for **Stable Audio 3** — each a self-contained,
+minimal-dependency way to run SA3 on a given accelerator. Pick by hardware:
+
+| Runtime | Platforms | Accelerator | Inference | Web UI | Training |
+|---|---|---|---|---|---|
+| **[mlx](mlx)** | Apple Silicon Macs | Metal GPU (MLX) | ✅ | ✅ `./sa3-gradio` | ✅ LoRA (pure-MLX) |
+| **[tflite](tflite)** | macOS / Linux / Windows, x86 & ARM | CPU (LiteRT / XNNPACK) | ✅ | ✅ `./sa3-gradio` | LoRA *inference* only (weight-patching) |
+| **[tensorRT](tensorRT)** | Linux + NVIDIA GPU | CUDA / TensorRT | ✅ | — | — |
+
+All three read the same weights from
+[`stabilityai/stable-audio-3-optimized`](https://huggingface.co/stabilityai/stable-audio-3-optimized)
+(auto-downloaded on first use) and cover text-to-audio, audio-to-audio,
+inpainting, and CFG / negative-prompt guidance.
+
+## One-liners
+
+```bash
+# Apple Silicon (Metal GPU)
+curl -LsSf https://raw.githubusercontent.com/Stability-AI/stable-audio-3/main/optimized/mlx/bootstrap.sh | bash
+
+# Any CPU (macOS / Linux / Windows — needs Git Bash or WSL on Windows for curl|bash)
+curl -LsSf https://raw.githubusercontent.com/Stability-AI/stable-audio-3/main/optimized/tflite/bootstrap.sh | bash
+
+# Linux + NVIDIA
+curl -LsSf https://raw.githubusercontent.com/Stability-AI/stable-audio-3/main/optimized/tensorRT/bootstrap.sh | bash
+```
+
+## Highlights
+
+- **Web UI** — the **mlx** and **tflite** runtimes each ship a gradio app
+  (`./sa3-gradio`) with every generation mode wired (text-to-audio, CFG /
+  negative prompt, audio-to-audio, inpainting), tinted mel-spectrogram
+  previews, model / precision hot-swap, and LoRA support.
+- **LoRA training** — the **mlx** runtime has a complete pure-MLX LoRA trainer
+  (pre-encode → train → generate) that matches
+  [underfit](https://github.com/dada-bots/underfit)'s conventions and
+  checkpoint format, so it doubles as underfit's Apple-Silicon backend. See
+  [mlx → LoRA training](mlx/README.md#lora-training). For a full training
+  **dashboard** on a Mac, use underfit.
+- **LoRA inference** — every runtime loads `.safetensors` adapters (mlx/tflite
+  merge or patch them into the graph; per-adapter strength + sampling-step
+  gating on mlx).
+
+See each runtime's `README.md` for install, usage, flags, and benchmarks.