write: 进 cube 仓库 + 接 gitea CI 自动部署

- 整 apps/write/ 进 git（含 frontend 源码 + Makefile + systemd unit + k8s service/ingress）
- .gitea/workflows/deploy-write.yml: act_runner fam 用户跑 host shell
    cargo build → npm build → install 到 ~/.local/bin/share/config →
    systemctl --user daemon-reload + restart → kubectl apply svc/ingress
- 前端 3 处"麻薯"字样去掉（思考中 / placeholder × 2）

注意 ~/.config/write/env 已有 passphrase，CI placeholder 逻辑会跳过不覆盖。

apps/write/frontend/public/asr-worklet.js

@@ -0,0 +1,45 @@
+// AudioWorkletProcessor: downsample mic input to 16 kHz mono **Int16 LE** PCM.
+// Qwen3-ASR streaming server (mochi-asr on i7:9000) expects Int16 LE.
+//
+// Browsers run AudioContext at 44.1k or 48k. We linear-resample to 16k.
+
+const TARGET_RATE = 16000;
+const CHUNK_SAMPLES = 1600; // 100 ms at 16 kHz
+
+class AsrWorklet extends AudioWorkletProcessor {
+  constructor() {
+    super();
+    this._ratio = sampleRate / TARGET_RATE;
+    this._tail = [];
+  }
+
+  process(inputs) {
+    const input = inputs[0];
+    if (!input || input.length === 0 || !input[0]) return true;
+    const channel = input[0];
+
+    const outLen = Math.floor(channel.length / this._ratio);
+    for (let i = 0; i < outLen; i++) {
+      const srcIdx = i * this._ratio;
+      const i0 = srcIdx | 0;
+      const i1 = i0 + 1 < channel.length ? i0 + 1 : channel.length - 1;
+      const t = srcIdx - i0;
+      this._tail.push(channel[i0] * (1 - t) + channel[i1] * t);
+    }
+
+    while (this._tail.length >= CHUNK_SAMPLES) {
+      const samples = this._tail.splice(0, CHUNK_SAMPLES);
+      const i16 = new Int16Array(CHUNK_SAMPLES);
+      for (let i = 0; i < CHUNK_SAMPLES; i++) {
+        let s = samples[i];
+        if (s < -1) s = -1;
+        else if (s > 1) s = 1;
+        i16[i] = s < 0 ? Math.round(s * 32768) : Math.round(s * 32767);
+      }
+      this.port.postMessage(i16.buffer, [i16.buffer]);
+    }
+    return true;
+  }
+}
+
+registerProcessor('asr-worklet', AsrWorklet);