chore: release v1.77.0

feat(youtube-transcript): add end times to chapter data

.claude-plugin/marketplace.json

@@ -6,7 +6,7 @@
   },
   "metadata": {
     "description": "Skills shared by Baoyu for improving daily work efficiency",
-    "version": "1.74.0"
+    "version": "1.77.0"
   },
   "plugins": [
     {
@@ -47,7 +47,8 @@
         "./skills/baoyu-url-to-markdown",
         "./skills/baoyu-format-markdown",
         "./skills/baoyu-markdown-to-html",
-        "./skills/baoyu-translate"
+        "./skills/baoyu-translate",
+        "./skills/baoyu-youtube-transcript"
       ]
     }
   ]

.gitignore

@@ -166,3 +166,4 @@ posts/
 .clawdhub/
 .release-artifacts/
 .worktrees/
+youtube-transcript/

CHANGELOG.md

@@ -2,6 +2,38 @@
 
 English | [中文](./CHANGELOG.zh.md)
 
+## 1.77.0 - 2026-03-22
+
+### Features
+- `baoyu-youtube-transcript`: add end times to chapter data (by @jzOcb)
+
+### Fixes
+- `sync-clawhub`: skip failed skills instead of aborting
+
+## 1.76.1 - 2026-03-21
+
+### Documentation
+- `baoyu-youtube-transcript`: fix zsh glob issue — always single-quote YouTube URLs when running the script
+
+## 1.76.0 - 2026-03-21
+
+### Features
+- `baoyu-youtube-transcript`: add title heading, description summary, and cover image to markdown output
+
+### Fixes
+- `baoyu-markdown-to-html`: use process.execPath and tsx import in test runner
+
+## 1.75.0 - 2026-03-21
+
+### Features
+- `baoyu-youtube-transcript`: new skill — download YouTube video transcripts/subtitles and cover images with multi-language, chapters, and speaker identification support
+
+## 1.74.1 - 2026-03-21
+
+### Fixes
+- `baoyu-image-gen`: align OpenRouter image generation with current API, harden image support, and narrow Gemini aspect ratios (by @cwandev)
+- `baoyu-image-gen`: broaden OpenRouter model detection and aspect ratio validation
+
 ## 1.74.0 - 2026-03-20
 
 ### Features

CHANGELOG.zh.md

@@ -2,6 +2,38 @@
 
 [English](./CHANGELOG.md) | 中文
 
+## 1.77.0 - 2026-03-22
+
+### 新功能
+- `baoyu-youtube-transcript`：为章节数据添加结束时间 (by @jzOcb)
+
+### 修复
+- `sync-clawhub`：跳过失败的技能而不是中止同步
+
+## 1.76.1 - 2026-03-21
+
+### 文档
+- `baoyu-youtube-transcript`：修复 zsh glob 问题 — 运行脚本时始终对 YouTube URL 使用单引号
+
+## 1.76.0 - 2026-03-21
+
+### 新功能
+- `baoyu-youtube-transcript`：Markdown 输出中新增标题、描述摘要和封面图片
+
+### 修复
+- `baoyu-markdown-to-html`：测试运行器改用 process.execPath 和 tsx import
+
+## 1.75.0 - 2026-03-21
+
+### 新功能
+- `baoyu-youtube-transcript`：新技能 — 下载 YouTube 视频字幕/转录文本和封面图片，支持多语言、章节分段和说话人识别
+
+## 1.74.1 - 2026-03-21
+
+### 修复
+- `baoyu-image-gen`：对齐 OpenRouter 图像生成与当前 API，增强图像支持，收窄 Gemini 宽高比范围 (by @cwandev)
+- `baoyu-image-gen`：扩展 OpenRouter 模型检测和宽高比验证
+
 ## 1.74.0 - 2026-03-20
 
 ### 新功能

CLAUDE.md

@@ -1,6 +1,6 @@
 # CLAUDE.md
 
-Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.74.0**.
+Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.77.0**.
 
 ## Architecture
 

README.md

@@ -76,7 +76,7 @@ Simply tell Claude Code:
 |--------|-------------|--------|
 | **content-skills** | Content generation and publishing | [xhs-images](#baoyu-xhs-images), [infographic](#baoyu-infographic), [cover-image](#baoyu-cover-image), [slide-deck](#baoyu-slide-deck), [comic](#baoyu-comic), [article-illustrator](#baoyu-article-illustrator), [post-to-x](#baoyu-post-to-x), [post-to-wechat](#baoyu-post-to-wechat), [post-to-weibo](#baoyu-post-to-weibo) |
 | **ai-generation-skills** | AI-powered generation backends | [image-gen](#baoyu-image-gen), [danger-gemini-web](#baoyu-danger-gemini-web) |
-| **utility-skills** | Utility tools for content processing | [url-to-markdown](#baoyu-url-to-markdown), [danger-x-to-markdown](#baoyu-danger-x-to-markdown), [compress-image](#baoyu-compress-image), [format-markdown](#baoyu-format-markdown), [markdown-to-html](#baoyu-markdown-to-html), [translate](#baoyu-translate) |
+| **utility-skills** | Utility tools for content processing | [youtube-transcript](#baoyu-youtube-transcript), [url-to-markdown](#baoyu-url-to-markdown), [danger-x-to-markdown](#baoyu-danger-x-to-markdown), [compress-image](#baoyu-compress-image), [format-markdown](#baoyu-format-markdown), [markdown-to-html](#baoyu-markdown-to-html), [translate](#baoyu-translate) |
 
 ## Update Skills
 
@@ -766,6 +766,40 @@ Interacts with Gemini Web to generate text and images.
 
 Utility tools for content processing.
 
+#### baoyu-youtube-transcript
+
+Download YouTube video transcripts/subtitles and cover images. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting.
+
+```bash
+# Default: markdown with timestamps
+/baoyu-youtube-transcript https://www.youtube.com/watch?v=VIDEO_ID
+
+# Specify languages (priority order)
+/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --languages zh,en,ja
+
+# With chapters and speaker identification
+/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --chapters --speakers
+
+# SRT subtitle format
+/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --format srt
+
+# List available transcripts
+/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --list
+```
+
+**Options**:
+| Option | Description | Default |
+|--------|-------------|---------|
+| `<url-or-id>` | YouTube URL or video ID | Required |
+| `--languages <codes>` | Language codes, comma-separated | `en` |
+| `--format <fmt>` | Output format: `text`, `srt` | `text` |
+| `--translate <code>` | Translate to specified language | |
+| `--chapters` | Chapter segmentation from video description | |
+| `--speakers` | Speaker identification (requires AI post-processing) | |
+| `--no-timestamps` | Disable timestamps | |
+| `--list` | List available transcripts | |
+| `--refresh` | Force re-fetch, ignore cache | |
+
 #### baoyu-url-to-markdown
 
 Fetch any URL via Chrome CDP and convert to clean markdown. Saves rendered HTML snapshot alongside the markdown, and automatically falls back to a legacy extractor when Defuddle fails.

README.zh.md

@@ -76,7 +76,7 @@ clawhub install baoyu-markdown-to-html
 |------|------|----------|
 | **content-skills** | 内容生成和发布 | [xhs-images](#baoyu-xhs-images), [infographic](#baoyu-infographic), [cover-image](#baoyu-cover-image), [slide-deck](#baoyu-slide-deck), [comic](#baoyu-comic), [article-illustrator](#baoyu-article-illustrator), [post-to-x](#baoyu-post-to-x), [post-to-wechat](#baoyu-post-to-wechat), [post-to-weibo](#baoyu-post-to-weibo) |
 | **ai-generation-skills** | AI 生成后端 | [image-gen](#baoyu-image-gen), [danger-gemini-web](#baoyu-danger-gemini-web) |
-| **utility-skills** | 内容处理工具 | [url-to-markdown](#baoyu-url-to-markdown), [danger-x-to-markdown](#baoyu-danger-x-to-markdown), [compress-image](#baoyu-compress-image), [format-markdown](#baoyu-format-markdown), [markdown-to-html](#baoyu-markdown-to-html), [translate](#baoyu-translate) |
+| **utility-skills** | 内容处理工具 | [youtube-transcript](#baoyu-youtube-transcript), [url-to-markdown](#baoyu-url-to-markdown), [danger-x-to-markdown](#baoyu-danger-x-to-markdown), [compress-image](#baoyu-compress-image), [format-markdown](#baoyu-format-markdown), [markdown-to-html](#baoyu-markdown-to-html), [translate](#baoyu-translate) |
 
 ## 更新技能
 
@@ -766,6 +766,40 @@ AI 驱动的生成后端。
 
 内容处理工具。
 
+#### baoyu-youtube-transcript
+
+下载 YouTube 视频字幕/转录文本和封面图片。支持多语言、翻译、章节分段和说话人识别。缓存原始数据以便快速重新格式化。
+
+```bash
+# 默认：带时间戳的 Markdown
+/baoyu-youtube-transcript https://www.youtube.com/watch?v=VIDEO_ID
+
+# 指定语言（按优先级排列）
+/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --languages zh,en,ja
+
+# 章节分段 + 说话人识别
+/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --chapters --speakers
+
+# SRT 字幕格式
+/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --format srt
+
+# 列出可用字幕
+/baoyu-youtube-transcript https://youtu.be/VIDEO_ID --list
+```
+
+**选项**：
+| 选项 | 说明 | 默认值 |
+|------|------|--------|
+| `<url-or-id>` | YouTube URL 或视频 ID | 必填 |
+| `--languages <codes>` | 语言代码，逗号分隔 | `en` |
+| `--format <fmt>` | 输出格式：`text`、`srt` | `text` |
+| `--translate <code>` | 翻译为指定语言 | |
+| `--chapters` | 根据视频描述进行章节分段 | |
+| `--speakers` | 说话人识别（需 AI 后处理） | |
+| `--no-timestamps` | 禁用时间戳 | |
+| `--list` | 列出可用字幕 | |
+| `--refresh` | 强制重新获取，忽略缓存 | |
+
 #### baoyu-url-to-markdown
 
 通过 Chrome CDP 抓取任意 URL 并转换为 Markdown。同时保存渲染后的 HTML 快照，Defuddle 失败时自动回退到旧版提取器。

scripts/sync-clawhub.mjs

@@ -151,6 +151,9 @@ async function main() {
     .map((tag) => tag.trim())
     .filter(Boolean);
 
+  let succeeded = 0;
+  const failed = [];
+
   for (const candidate of actionable) {
     const version =
       candidate.status === "new"
@@ -158,20 +161,30 @@ async function main() {
         : bumpSemver(candidate.latestVersion, options.bump);
 
     console.log(`Publishing ${candidate.slug}@${version}`);
-    const files = await listTextFiles(candidate.folder);
-    await publishSkill({
-      registry,
-      token: config.token,
-      skill: candidate,
-      files,
-      version,
-      changelog: options.changelog,
-      tags,
-    });
+    try {
+      const files = await listTextFiles(candidate.folder);
+      await publishSkill({
+        registry,
+        token: config.token,
+        skill: candidate,
+        files,
+        version,
+        changelog: options.changelog,
+        tags,
+      });
+      succeeded++;
+    } catch (err) {
+      const msg = err instanceof Error ? err.message : String(err);
+      console.error(`SKIPPED ${candidate.slug}: ${msg}`);
+      failed.push(candidate.slug);
+    }
   }
 
   console.log("");
-  console.log(`Uploaded ${actionable.length} skill(s).`);
+  console.log(`Uploaded ${succeeded}/${actionable.length} skill(s).`);
+  if (failed.length > 0) {
+    console.log(`Failed (${failed.length}): ${failed.join(", ")}`);
+  }
 }
 
 function parseArgs(argv) {

skills/baoyu-image-gen/scripts/providers/openrouter.test.ts

@@ -0,0 +1,168 @@
+import assert from "node:assert/strict";
+import test from "node:test";
+
+import type { CliArgs } from "../types.ts";
+import {
+  buildContent,
+  buildRequestBody,
+  extractImageFromResponse,
+  getAspectRatio,
+  getImageSize,
+  validateArgs,
+} from "./openrouter.ts";
+
+const GEMINI_MODEL = "google/gemini-3.1-flash-image-preview";
+const GEMINI_25_MODEL = "google/gemini-2.5-flash-image";
+const GPT_5_IMAGE_MODEL = "openai/gpt-5-image";
+const OPENROUTER_AUTO_MODEL = "openrouter/auto";
+const FLUX_MODEL = "black-forest-labs/flux.2-pro";
+
+function makeArgs(overrides: Partial<CliArgs> = {}): CliArgs {
+  return {
+    prompt: null,
+    promptFiles: [],
+    imagePath: null,
+    provider: null,
+    model: null,
+    aspectRatio: null,
+    size: null,
+    quality: null,
+    imageSize: null,
+    referenceImages: [],
+    n: 1,
+    batchFile: null,
+    jobs: null,
+    json: false,
+    help: false,
+    ...overrides,
+  };
+}
+
+test("OpenRouter request body uses image_config and string content for text-only prompts", () => {
+  const args = makeArgs({ aspectRatio: "16:9", quality: "2k" });
+  const body = buildRequestBody("hello", GEMINI_MODEL, args, []);
+
+  assert.deepEqual(body.image_config, {
+    image_size: "2K",
+    aspect_ratio: "16:9",
+  });
+  assert.deepEqual(body.provider, {
+    require_parameters: true,
+  });
+  assert.deepEqual(body.modalities, ["image", "text"]);
+  assert.equal(body.stream, false);
+  assert.equal(body.messages[0].content, "hello");
+});
+
+test("OpenRouter request body keeps text+image modalities for current text+image models", () => {
+  for (const model of [GEMINI_MODEL, GEMINI_25_MODEL, GPT_5_IMAGE_MODEL, OPENROUTER_AUTO_MODEL]) {
+    const body = buildRequestBody("hello", model, makeArgs({ quality: "2k" }), []);
+
+    assert.deepEqual(body.image_config, {
+      image_size: "2K",
+    });
+    assert.deepEqual(body.provider, {
+      require_parameters: true,
+    });
+    assert.deepEqual(body.modalities, ["image", "text"]);
+    assert.equal(body.messages[0].content, "hello");
+  }
+});
+
+test("OpenRouter request body uses image-only modalities for image-only models under CLI defaults", () => {
+  const body = buildRequestBody("hello", FLUX_MODEL, makeArgs({ quality: "2k" }), []);
+
+  assert.deepEqual(body.image_config, {
+    image_size: "2K",
+  });
+  assert.deepEqual(body.provider, {
+    require_parameters: true,
+  });
+  assert.deepEqual(body.modalities, ["image"]);
+  assert.equal(body.stream, false);
+  assert.equal(body.messages[0].content, "hello");
+});
+
+test("OpenRouter helper omits image_config when no size or quality is passed", () => {
+  const body = buildRequestBody("hello", FLUX_MODEL, makeArgs(), []);
+
+  assert.equal(body.image_config, undefined);
+  assert.equal(body.provider, undefined);
+  assert.deepEqual(body.modalities, ["image"]);
+  assert.equal(body.stream, false);
+  assert.equal(body.messages[0].content, "hello");
+});
+
+test("OpenRouter request body keeps multimodal array content when references are provided", () => {
+  const content = buildContent("hello", ["data:image/png;base64,abc"]);
+  assert.ok(Array.isArray(content));
+  assert.deepEqual(content[0], { type: "text", text: "hello" });
+  assert.deepEqual(content[1], {
+    type: "image_url",
+    image_url: { url: "data:image/png;base64,abc" },
+  });
+});
+
+test("OpenRouter size and aspect helpers infer supported values", () => {
+  assert.equal(getImageSize(makeArgs()), null);
+  assert.equal(getImageSize(makeArgs({ quality: "normal" })), "1K");
+  assert.equal(getImageSize(makeArgs({ size: "2048x1024" })), "2K");
+  assert.equal(getAspectRatio(GEMINI_MODEL, makeArgs({ size: "1600x900" })), "16:9");
+  assert.equal(getAspectRatio(GEMINI_MODEL, makeArgs({ size: "1024x4096" })), "1:4");
+  assert.equal(getAspectRatio(GEMINI_25_MODEL, makeArgs({ size: "1600x900" })), "16:9");
+  assert.equal(getAspectRatio(FLUX_MODEL, makeArgs({ size: "1024x4096" })), null);
+});
+
+test("OpenRouter validates explicit aspect ratios and inferred size ratios against model support", () => {
+  assert.doesNotThrow(() =>
+    validateArgs(GEMINI_MODEL, makeArgs({ aspectRatio: "1:4" })),
+  );
+  assert.doesNotThrow(() =>
+    validateArgs(GEMINI_MODEL, makeArgs({ size: "1024x4096" })),
+  );
+  assert.throws(
+    () => validateArgs(GEMINI_25_MODEL, makeArgs({ aspectRatio: "1:4" })),
+    /does not support aspect ratio 1:4/,
+  );
+  assert.throws(
+    () => validateArgs(FLUX_MODEL, makeArgs({ aspectRatio: "1:4" })),
+    /does not support aspect ratio 1:4/,
+  );
+  assert.throws(
+    () => validateArgs(GEMINI_MODEL, makeArgs({ size: "2048x1024" })),
+    /does not support size 2048x1024 \(aspect ratio 2:1\)/,
+  );
+});
+
+test("OpenRouter response extraction supports inline image data and finish_reason errors", async () => {
+  const bytes = await extractImageFromResponse({
+    choices: [
+      {
+        message: {
+          images: [
+            {
+              image_url: {
+                url: `data:image/png;base64,${Buffer.from("hello").toString("base64")}`,
+              },
+            },
+          ],
+        },
+      },
+    ],
+  });
+  assert.equal(Buffer.from(bytes).toString("utf8"), "hello");
+
+  await assert.rejects(
+    () =>
+      extractImageFromResponse({
+        choices: [
+          {
+            finish_reason: "error",
+            native_finish_reason: "MALFORMED_FUNCTION_CALL",
+            message: { content: null },
+          },
+        ],
+      }),
+    /finish_reason=MALFORMED_FUNCTION_CALL/,
+  );
+});

skills/baoyu-image-gen/scripts/providers/openrouter.ts

@@ -3,6 +3,19 @@ import { readFile } from "node:fs/promises";
 import type { CliArgs } from "../types";
 
 const DEFAULT_MODEL = "google/gemini-3.1-flash-image-preview";
+const COMMON_ASPECT_RATIOS = [
+  "1:1",
+  "2:3",
+  "3:2",
+  "3:4",
+  "4:3",
+  "4:5",
+  "5:4",
+  "9:16",
+  "16:9",
+  "21:9",
+];
+const GEMINI_EXTENDED_ASPECT_RATIOS = ["1:4", "4:1", "1:8", "8:1"];
 
 type OpenRouterImageEntry = {
   image_url?: string | { url?: string | null } | null;
@@ -18,9 +31,11 @@ type OpenRouterMessagePart = {
 
 type OpenRouterResponse = {
   choices?: Array<{
+    finish_reason?: string | null;
+    native_finish_reason?: string | null;
     message?: {
       images?: OpenRouterImageEntry[];
-      content?: string | OpenRouterMessagePart[];
+      content?: string | OpenRouterMessagePart[] | null;
     };
   }>;
 };
@@ -29,6 +44,36 @@ export function getDefaultModel(): string {
   return process.env.OPENROUTER_IMAGE_MODEL || DEFAULT_MODEL;
 }
 
+function normalizeModelId(model: string): string {
+  return model.trim().toLowerCase().split(":")[0]!;
+}
+
+function isTextAndImageModel(model: string): boolean {
+  const normalized = normalizeModelId(model);
+  if (normalized === "openrouter/auto") {
+    return true;
+  }
+
+  if (normalized.startsWith("google/gemini-") && normalized.includes("image")) {
+    return true;
+  }
+
+  if (normalized.startsWith("openai/gpt-") && normalized.includes("image")) {
+    return true;
+  }
+
+  return false;
+}
+
+function getSupportedAspectRatios(model: string): Set<string> {
+  const normalized = normalizeModelId(model);
+  if (normalized !== "google/gemini-3.1-flash-image-preview") {
+    return new Set(COMMON_ASPECT_RATIOS);
+  }
+
+  return new Set([...COMMON_ASPECT_RATIOS, ...GEMINI_EXTENDED_ASPECT_RATIOS]);
+}
+
 function getApiKey(): string | null {
   return process.env.OPENROUTER_API_KEY || null;
 }
@@ -103,17 +148,50 @@ function inferImageSize(size: string | null): "1K" | "2K" | "4K" | null {
   return "4K";
 }
 
-function getImageSize(args: CliArgs): "1K" | "2K" | "4K" {
+export function getImageSize(args: CliArgs): "1K" | "2K" | "4K" | null {
   if (args.imageSize) return args.imageSize as "1K" | "2K" | "4K";
 
   const inferredFromSize = inferImageSize(args.size);
   if (inferredFromSize) return inferredFromSize;
 
-  return args.quality === "normal" ? "1K" : "2K";
+  if (args.quality === "normal") return "1K";
+  if (args.quality === "2k") return "2K";
+  return null;
 }
 
-function getAspectRatio(args: CliArgs): string | null {
-  return args.aspectRatio || inferAspectRatio(args.size);
+export function getAspectRatio(model: string, args: CliArgs): string | null {
+  if (args.aspectRatio) return args.aspectRatio;
+
+  const inferred = inferAspectRatio(args.size);
+  if (!inferred || !getSupportedAspectRatios(model).has(inferred)) {
+    return null;
+  }
+
+  return inferred;
+}
+
+function getModalities(model: string): string[] {
+  return isTextAndImageModel(model) ? ["image", "text"] : ["image"];
+}
+
+export function validateArgs(model: string, args: CliArgs): void {
+  const requestedAspectRatio = args.aspectRatio || inferAspectRatio(args.size);
+  if (!requestedAspectRatio) {
+    return;
+  }
+
+  const supported = getSupportedAspectRatios(model);
+  if (supported.has(requestedAspectRatio)) {
+    return;
+  }
+
+  const requestedValue = args.aspectRatio
+    ? `aspect ratio ${requestedAspectRatio}`
+    : `size ${args.size} (aspect ratio ${requestedAspectRatio})`;
+
+  throw new Error(
+    `OpenRouter model ${model} does not support ${requestedValue}. Supported values: ${Array.from(supported).join(", ")}`
+  );
 }
 
 function getMimeType(filename: string): string {
@@ -129,7 +207,14 @@ async function readImageAsDataUrl(filePath: string): Promise<string> {
   return `data:${getMimeType(filePath)};base64,${bytes.toString("base64")}`;
 }
 
-function buildContent(prompt: string, referenceImages: string[]): Array<Record<string, unknown>> {
+export function buildContent(
+  prompt: string,
+  referenceImages: string[],
+): string | Array<Record<string, unknown>> {
+  if (referenceImages.length === 0) {
+    return prompt;
+  }
+
   const content: Array<Record<string, unknown>> = [{ type: "text", text: prompt }];
 
   for (const imageUrl of referenceImages) {
@@ -171,8 +256,9 @@ async function downloadImage(value: string): Promise<Uint8Array> {
   return Uint8Array.from(Buffer.from(value, "base64"));
 }
 
-async function extractImageFromResponse(result: OpenRouterResponse): Promise<Uint8Array> {
-  const message = result.choices?.[0]?.message;
+export async function extractImageFromResponse(result: OpenRouterResponse): Promise<Uint8Array> {
+  const choice = result.choices?.[0];
+  const message = choice?.message;
 
   for (const image of message?.images ?? []) {
     const imageUrl = extractImageUrl(image);
@@ -194,7 +280,52 @@ async function extractImageFromResponse(result: OpenRouterResponse): Promise<Uin
     if (inline) return inline;
   }
 
-  throw new Error("No image in OpenRouter response");
+  const finishReason =
+    choice?.native_finish_reason || choice?.finish_reason || "unknown";
+  throw new Error(
+    `No image in OpenRouter response (finish_reason=${finishReason})`,
+  );
+}
+
+export function buildRequestBody(
+  prompt: string,
+  model: string,
+  args: CliArgs,
+  referenceImages: string[],
+): Record<string, unknown> {
+  validateArgs(model, args);
+
+  const imageConfig: Record<string, string> = {};
+
+  const imageSize = getImageSize(args);
+  if (imageSize) {
+    imageConfig.image_size = imageSize;
+  }
+
+  const aspectRatio = getAspectRatio(model, args);
+  if (aspectRatio) {
+    imageConfig.aspect_ratio = aspectRatio;
+  }
+
+  const body: Record<string, unknown> = {
+    messages: [
+      {
+        role: "user",
+        content: buildContent(prompt, referenceImages),
+      },
+    ],
+    modalities: getModalities(model),
+    stream: false,
+  };
+
+  if (Object.keys(imageConfig).length > 0) {
+    body.image_config = imageConfig;
+    body.provider = {
+      require_parameters: true,
+    };
+  }
+
+  return body;
 }
 
 export async function generateImage(
@@ -212,32 +343,15 @@ export async function generateImage(
     referenceImages.push(await readImageAsDataUrl(refPath));
   }
 
-  const imageGenerationOptions: Record<string, string> = {
-    size: getImageSize(args),
-  };
-
-  const aspectRatio = getAspectRatio(args);
-  if (aspectRatio) {
-    imageGenerationOptions.aspect_ratio = aspectRatio;
-  }
-
   const body = {
     model,
-    messages: [
-      {
-        role: "user",
-        content: buildContent(prompt, referenceImages),
-      },
-    ],
-    modalities: ["image", "text"],
-    max_tokens: 256,
-    imageGenerationOptions,
-    providerPreferences: {
-      require_parameters: true,
-    },
+    ...buildRequestBody(prompt, model, args, referenceImages),
   };
 
-  console.log(`Generating image with OpenRouter (${model})...`, imageGenerationOptions);
+  console.log(
+    `Generating image with OpenRouter (${model})...`,
+    (body.image_config as Record<string, string>),
+  );
 
   const response = await fetch(`${getBaseUrl()}/chat/completions`, {
     method: "POST",

skills/baoyu-markdown-to-html/scripts/main.test.ts

@@ -3,6 +3,7 @@ import { execFile } from "node:child_process";
 import fs from "node:fs/promises";
 import os from "node:os";
 import path from "node:path";
+import process from "node:process";
 import test from "node:test";
 import { fileURLToPath } from "node:url";
 import { promisify } from "node:util";
@@ -21,8 +22,10 @@ test("CLI forwards wrapper title and vendor render options", async () => {
   await fs.writeFile(markdownPath, "## Section\n\nParagraph with **bold** text.\n", "utf-8");
 
   const { stdout } = await execFileAsync(
-    "bun",
+    process.execPath,
     [
+      "--import",
+      "tsx",
       SCRIPT_PATH,
       markdownPath,
       "--theme", "grace",

skills/baoyu-youtube-transcript/SKILL.md

@@ -0,0 +1,177 @@
+---
+name: baoyu-youtube-transcript
+description: Downloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面", "视频封面", "video thumbnail", "video cover image", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.
+version: 1.1.0
+metadata:
+  openclaw:
+    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-youtube-transcript
+    requires:
+      anyBins:
+        - bun
+        - npx
+---
+
+# YouTube Transcript
+
+Downloads transcripts (subtitles/captions) from YouTube videos. Works with both manually created and auto-generated transcripts. No API key or browser required — uses YouTube's InnerTube API directly.
+
+Fetches video metadata and cover image on first run, caches raw data for fast re-formatting.
+
+## Script Directory
+
+Scripts in `scripts/` subdirectory. `{baseDir}` = this SKILL.md's directory path. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun. Replace `{baseDir}` and `${BUN_X}` with actual values.
+
+| Script | Purpose |
+|--------|---------|
+| `scripts/main.ts` | Transcript download CLI |
+
+## Usage
+
+```bash
+# Default: markdown with timestamps (English)
+${BUN_X} {baseDir}/scripts/main.ts <youtube-url-or-id>
+
+# Specify languages (priority order)
+${BUN_X} {baseDir}/scripts/main.ts <url> --languages zh,en,ja
+
+# Without timestamps
+${BUN_X} {baseDir}/scripts/main.ts <url> --no-timestamps
+
+# With chapter segmentation
+${BUN_X} {baseDir}/scripts/main.ts <url> --chapters
+
+# With speaker identification (requires AI post-processing)
+${BUN_X} {baseDir}/scripts/main.ts <url> --speakers
+
+# SRT subtitle file
+${BUN_X} {baseDir}/scripts/main.ts <url> --format srt
+
+# Translate transcript
+${BUN_X} {baseDir}/scripts/main.ts <url> --translate zh-Hans
+
+# List available transcripts
+${BUN_X} {baseDir}/scripts/main.ts <url> --list
+
+# Force re-fetch (ignore cache)
+${BUN_X} {baseDir}/scripts/main.ts <url> --refresh
+```
+
+## Options
+
+| Option | Description | Default |
+|--------|-------------|---------|
+| `<url-or-id>` | YouTube URL or video ID (multiple allowed) | Required |
+| `--languages <codes>` | Language codes, comma-separated, in priority order | `en` |
+| `--format <fmt>` | Output format: `text`, `srt` | `text` |
+| `--translate <code>` | Translate to specified language code | |
+| `--list` | List available transcripts instead of fetching | |
+| `--timestamps` | Include `[HH:MM:SS → HH:MM:SS]` timestamps per paragraph | on |
+| `--no-timestamps` | Disable timestamps | |
+| `--chapters` | Chapter segmentation from video description | |
+| `--speakers` | Raw transcript with metadata for speaker identification | |
+| `--exclude-generated` | Skip auto-generated transcripts | |
+| `--exclude-manually-created` | Skip manually created transcripts | |
+| `--refresh` | Force re-fetch, ignore cached data | |
+| `-o, --output <path>` | Save to specific file path | auto-generated |
+| `--output-dir <dir>` | Base output directory | `youtube-transcript` |
+
+## Input Formats
+
+Accepts any of these as video input:
+- Full URL: `https://www.youtube.com/watch?v=dQw4w9WgXcQ`
+- Short URL: `https://youtu.be/dQw4w9WgXcQ`
+- Embed URL: `https://www.youtube.com/embed/dQw4w9WgXcQ`
+- Shorts URL: `https://www.youtube.com/shorts/dQw4w9WgXcQ`
+- Video ID: `dQw4w9WgXcQ`
+
+## Output Formats
+
+| Format | Extension | Description |
+|--------|-----------|-------------|
+| `text` | `.md` | Markdown with frontmatter (incl. `description`), title heading, summary, optional TOC/cover/timestamps/chapters/speakers |
+| `srt` | `.srt` | SubRip subtitle format for video players |
+
+## Output Directory
+
+```
+youtube-transcript/
+├── .index.json                          # Video ID → directory path mapping (for cache lookup)
+└── {channel-slug}/{title-full-slug}/
+    ├── meta.json                        # Video metadata (title, channel, description, duration, chapters, etc.)
+    ├── transcript-raw.json              # Raw transcript snippets from YouTube API (cached)
+    ├── transcript-sentences.json        # Sentence-segmented transcript (split by punctuation, merged across snippets)
+    ├── imgs/
+    │   └── cover.jpg                    # Video thumbnail
+    ├── transcript.md                    # Markdown transcript (generated from sentences)
+    └── transcript.srt                   # SRT subtitle (generated from raw snippets, if --format srt)
+```
+
+- `{channel-slug}`: Channel name in kebab-case
+- `{title-full-slug}`: Full video title in kebab-case
+
+The `--list` mode outputs to stdout only (no file saved).
+
+## Caching
+
+On first fetch, the script saves:
+- `meta.json` — video metadata, chapters, cover image path, language info
+- `transcript-raw.json` — raw transcript snippets from YouTube API (`{ text, start, duration }[]`)
+- `transcript-sentences.json` — sentence-segmented transcript (`{ text, start: "HH:mm:ss", end: "HH:mm:ss" }[]`), split by sentence-ending punctuation (`.?!…。？！` etc.), timestamps proportionally allocated by character length, CJK-aware text merging
+- `imgs/cover.jpg` — video thumbnail
+
+Subsequent runs for the same video use cached data (no network calls). Use `--refresh` to force re-fetch. If a different language is requested, the cache is automatically refreshed.
+
+SRT output (`--format srt`) is generated from `transcript-raw.json`. Text/markdown output uses `transcript-sentences.json` for natural sentence boundaries.
+
+## Workflow
+
+When user provides a YouTube URL and wants the transcript:
+
+1. Run with `--list` first if the user hasn't specified a language, to show available options
+2. **Always single-quote the URL** when running the script — zsh treats `?` as a glob wildcard, so an unquoted YouTube URL causes "no matches found": use `'https://www.youtube.com/watch?v=ID'`
+3. Default: run with `--chapters --speakers` for the richest output (chapters + speaker identification)
+3. The script auto-saves cached data + output file and prints the file path
+4. For `--speakers` mode: after the script saves the raw file, follow the speaker identification workflow below to post-process with speaker labels
+
+When user only wants a cover image or metadata, running the script with any option will also cache `meta.json` and `imgs/cover.jpg`.
+
+When re-formatting the same video (e.g., first text then SRT), the cached data is reused — no re-fetch needed.
+
+## Chapter & Speaker Workflow
+
+### Chapters (`--chapters`)
+
+The script parses chapter timestamps from the video description (e.g., `0:00 Introduction`), segments the transcript by chapter boundaries, groups snippets into readable paragraphs, and saves as `.md` with a Table of Contents. No further processing needed.
+
+If no chapter timestamps exist in the description, the transcript is output as grouped paragraphs without chapter headings.
+
+### Speaker Identification (`--speakers`)
+
+Speaker identification requires AI processing. The script outputs a raw `.md` file containing:
+- YAML frontmatter with video metadata (title, channel, date, cover, description, language)
+- Video description (for speaker name extraction)
+- Chapter list from description (if available)
+- Raw transcript in SRT format (pre-computed start/end timestamps, token-efficient)
+
+After the script saves the raw file, spawn a sub-agent (use a cheaper model like Sonnet for cost efficiency) to process speaker identification:
+
+1. Read the saved `.md` file
+2. Read the prompt template at `{baseDir}/prompts/speaker-transcript.md`
+3. Process the raw transcript following the prompt:
+   - Identify speakers using video metadata (title → guest, channel → host, description → names)
+   - Detect speaker turns from conversation flow, question-answer patterns, and contextual cues
+   - Segment into chapters (use description chapters if available, else create from topic shifts)
+   - Format with `**Speaker Name:**` labels, paragraph grouping (2-4 sentences), and `[HH:MM:SS → HH:MM:SS]` timestamps
+4. Overwrite the `.md` file with the processed transcript (keep the YAML frontmatter)
+
+When `--speakers` is used, `--chapters` is implied — the processed output always includes chapter segmentation.
+
+## Error Cases
+
+| Error | Meaning |
+|-------|---------|
+| Transcripts disabled | Video has no captions at all |
+| No transcript found | Requested language not available |
+| Video unavailable | Video deleted, private, or region-locked |
+| IP blocked | Too many requests, try again later |
+| Age restricted | Video requires login for age verification |

skills/baoyu-youtube-transcript/prompts/speaker-transcript.md

@@ -0,0 +1,118 @@
+# Speaker & Chapter Transcript Processing
+
+You are an expert transcript specialist. Process the raw transcript file (with YAML frontmatter metadata and SRT-formatted transcript) into a structured, verbatim transcript with speaker identification and chapter segmentation.
+
+## Output Structure
+
+Produce a single cohesive markdown file containing:
+1. YAML frontmatter (keep the original frontmatter from the raw file, which includes `description`)
+2. `# Title` heading (from frontmatter title)
+3. Description/summary paragraph (from frontmatter `description`)
+4. Table of Contents
+5. Cover image (if `cover` exists in frontmatter): `![cover](imgs/cover.jpg)` — right after the ToC
+6. Full chapter-segmented transcript with speaker labels
+
+Use the same language as the transcription for the title and ToC.
+
+## Rules
+
+### Transcription Fidelity
+- Preserve every spoken word exactly, including filler words (`um`, `uh`, `like`) and stutters
+- **NEVER translate.** If the audio mixes languages (e.g., "这个 feature 很酷"), replicate that mix exactly
+
+### Speaker Identification
+- **Priority 1: Use metadata.** Analyze the video's title, channel name, and description to identify speakers
+- **Priority 2: Use transcript content.** Look for introductions, how speakers address each other, contextual cues
+- **Fallback:** Use consistent generic labels (`**Speaker 1:**`, `**Host:**`, etc.)
+- **Consistency:** If a speaker's name is revealed later, update ALL previous labels for that speaker
+
+### Chapter Generation
+- If the raw file contains a `# Chapters` section, use those as the primary basis for segmenting
+- Otherwise, create chapters based on significant topic shifts in the conversation
+
+### Input Format
+- The `# Transcript` section contains SRT-formatted subtitles with pre-computed start/end timestamps
+- Each SRT block has: sequence number, `HH:MM:SS,mmm --> HH:MM:SS,mmm` timestamp line, and text
+- Use the SRT timestamps directly — no need to calculate paragraph start/end times, just merge adjacent blocks
+
+### Formatting
+
+**Timestamps:** Use `[HH:MM:SS → HH:MM:SS]` format (start → end) at the end of each paragraph. No milliseconds.
+
+**Table of Contents:**
+```
+## Table of Contents
+* [HH:MM:SS] Chapter Title
+```
+
+**Chapters:**
+```
+## Chapter Title [HH:MM:SS]
+```
+Two blank lines between chapters.
+
+**Dialogue Paragraphs:**
+- First paragraph of a speaker's turn starts with `**Speaker Name:** `
+- Split long monologues into 2-4 sentence paragraphs separated by blank lines
+- Subsequent paragraphs from the SAME speaker do NOT repeat the speaker label
+- Every paragraph ends with exactly ONE timestamp range `[HH:MM:SS → HH:MM:SS]`
+
+Correct example:
+```
+**Jane Doe:** The study focuses on long-term effects of dietary changes. We tracked two groups over five years. [00:00:15 → 00:00:21]
+
+The first group followed the new regimen, while the second group maintained a traditional diet. [00:00:21 → 00:00:28]
+
+**Host:** Fascinating. And what did you find? [00:00:28 → 00:00:31]
+```
+
+Wrong (multiple timestamps in one paragraph):
+```
+**Host:** Welcome back. [00:00:01] Today we have a guest. [00:00:02]
+```
+
+**Non-Speech Audio:** On its own line: `[Laughter] [HH:MM:SS]`
+
+## Example Output
+
+```markdown
+---
+title: "Example Interview"
+channel: "The Show"
+date: 2024-04-15
+url: "https://www.youtube.com/watch?v=xxx"
+cover: imgs/cover.jpg
+description: "Jane Doe discusses her groundbreaking five-year study on the long-term effects of dietary changes."
+language: en
+---
+
+# Example Interview
+
+Jane Doe discusses her groundbreaking five-year study on the long-term effects of dietary changes.
+
+## Table of Contents
+* [00:00:00] Introduction and Welcome
+* [00:00:12] Overview of the New Research
+
+![cover](imgs/cover.jpg)
+
+
+## Introduction and Welcome [00:00:00]
+
+**Host:** Welcome back to the show. Today, we have a, uh, very special guest, Jane Doe. [00:00:00 → 00:00:03]
+
+**Jane Doe:** Thank you for having me. I'm excited to be here and discuss the findings. [00:00:03 → 00:00:07]
+
+
+## Overview of the New Research [00:00:12]
+
+**Host:** So, Jane, before we get into the nitty-gritty, could you, you know, give us a brief overview for our audience? [00:00:12 → 00:00:16]
+
+**Jane Doe:** Of course. The study focuses on the long-term effects of specific dietary changes. It's a bit complicated but essentially we tracked two large groups over a five-year period. [00:00:16 → 00:00:23]
+
+The first group followed the new regimen, while the second group, our control, maintained a traditional diet. This allowed us to isolate variables effectively. [00:00:23 → 00:00:30]
+
+[Laughter] [00:00:30]
+
+**Host:** Fascinating. And what did you find? [00:00:31 → 00:00:33]
+```

skills/baoyu-youtube-transcript/scripts/main.ts

@@ -0,0 +1,857 @@
+#!/usr/bin/env bun
+import { existsSync, mkdirSync, readFileSync, writeFileSync } from "fs";
+import { dirname, join, resolve } from "path";
+
+type Format = "text" | "srt";
+
+interface Options {
+  videoIds: string[];
+  languages: string[];
+  format: Format;
+  translate: string;
+  list: boolean;
+  excludeGenerated: boolean;
+  excludeManual: boolean;
+  output: string;
+  outputDir: string;
+  timestamps: boolean;
+  chapters: boolean;
+  speakers: boolean;
+  refresh: boolean;
+}
+
+interface Snippet {
+  text: string;
+  start: number;
+  duration: number;
+}
+
+interface Sentence {
+  text: string;
+  start: string;
+  end: string;
+}
+
+interface TranscriptInfo {
+  language: string;
+  languageCode: string;
+  isGenerated: boolean;
+  isTranslatable: boolean;
+  baseUrl: string;
+  translationLanguages: { language: string; languageCode: string }[];
+}
+
+interface Chapter {
+  title: string;
+  start: number;
+  end: number;
+}
+
+interface VideoMeta {
+  videoId: string;
+  title: string;
+  channel: string;
+  channelId: string;
+  description: string;
+  duration: number;
+  publishDate: string;
+  url: string;
+  coverImage: string;
+  thumbnailUrl: string;
+  language: { code: string; name: string; isGenerated: boolean };
+  chapters: Chapter[];
+}
+
+interface VideoResult {
+  videoId: string;
+  title?: string;
+  filePath?: string;
+  content?: string;
+  error?: string;
+}
+
+const WATCH_URL = "https://www.youtube.com/watch?v=";
+const INNERTUBE_URL = "https://www.youtube.com/youtubei/v1/player";
+const INNERTUBE_CTX = { client: { clientName: "ANDROID", clientVersion: "20.10.38" } };
+
+function extractVideoId(input: string): string {
+  input = input.replace(/\\/g, "").trim();
+  const patterns = [
+    /(?:youtube\.com\/watch\?.*v=|youtu\.be\/|youtube\.com\/embed\/|youtube\.com\/v\/|youtube\.com\/shorts\/)([a-zA-Z0-9_-]{11})/,
+    /^([a-zA-Z0-9_-]{11})$/,
+  ];
+  for (const p of patterns) {
+    const m = input.match(p);
+    if (m) return m[1];
+  }
+  return input;
+}
+
+function slugify(s: string): string {
+  return s
+    .toLowerCase()
+    .replace(/[^\w\s-]/g, "")
+    .replace(/\s+/g, "-")
+    .replace(/-+/g, "-")
+    .replace(/^-|-$/g, "") || "untitled";
+}
+
+function htmlUnescape(s: string): string {
+  return s
+    .replace(/&/g, "&")
+    .replace(/&lt;/g, "<")
+    .replace(/&gt;/g, ">")
+    .replace(/&quot;/g, '"')
+    .replace(/&#39;/g, "'")
+    .replace(/&#x27;/g, "'")
+    .replace(/&#x2F;/g, "/")
+    .replace(/&apos;/g, "'")
+    .replace(/&#(\d+);/g, (_, n) => String.fromCharCode(parseInt(n)))
+    .replace(/&#x([0-9a-fA-F]+);/g, (_, n) => String.fromCharCode(parseInt(n, 16)));
+}
+
+function stripTags(s: string): string {
+  return s.replace(/<[^>]*>/g, "");
+}
+
+function parseTranscriptXml(xml: string): Snippet[] {
+  const snippets: Snippet[] = [];
+  const re = /<text\s+start="([^"]*)"(?:\s+dur="([^"]*)")?[^>]*>([\s\S]*?)<\/text>/g;
+  let m: RegExpExecArray | null;
+  while ((m = re.exec(xml)) !== null) {
+    const raw = m[3];
+    if (!raw) continue;
+    snippets.push({
+      text: htmlUnescape(stripTags(raw)),
+      start: parseFloat(m[1]),
+      duration: parseFloat(m[2] || "0"),
+    });
+  }
+  return snippets;
+}
+
+// --- YouTube API ---
+
+async function fetchHtml(videoId: string): Promise<string> {
+  const r = await fetch(WATCH_URL + videoId, {
+    headers: { "Accept-Language": "en-US", "User-Agent": "Mozilla/5.0" },
+  });
+  if (!r.ok) throw new Error(`HTTP ${r.status} fetching video page`);
+  let html = await r.text();
+  if (html.includes('action="https://consent.youtube.com/s"')) {
+    const cv = html.match(/name="v" value="(.*?)"/);
+    if (!cv) throw new Error("Failed to create consent cookie");
+    const r2 = await fetch(WATCH_URL + videoId, {
+      headers: {
+        "Accept-Language": "en-US",
+        "User-Agent": "Mozilla/5.0",
+        Cookie: `CONSENT=YES+${cv[1]}`,
+      },
+    });
+    if (!r2.ok) throw new Error(`HTTP ${r2.status} fetching video page (consent)`);
+    html = await r2.text();
+  }
+  return html;
+}
+
+function extractApiKey(html: string, videoId: string): string {
+  const m = html.match(/"INNERTUBE_API_KEY":\s*"([a-zA-Z0-9_-]+)"/);
+  if (!m) {
+    if (html.includes('class="g-recaptcha"')) throw new Error(`IP blocked for ${videoId} (reCAPTCHA)`);
+    throw new Error(`Cannot extract API key for ${videoId}`);
+  }
+  return m[1];
+}
+
+async function fetchInnertubeData(videoId: string, apiKey: string): Promise<any> {
+  const r = await fetch(`${INNERTUBE_URL}?key=${apiKey}`, {
+    method: "POST",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify({ context: INNERTUBE_CTX, videoId }),
+  });
+  if (r.status === 429) throw new Error(`IP blocked for ${videoId} (429)`);
+  if (!r.ok) throw new Error(`HTTP ${r.status} from InnerTube API`);
+  return r.json();
+}
+
+function assertPlayability(data: any, videoId: string) {
+  const ps = data?.playabilityStatus;
+  if (!ps) return;
+  const status = ps.status;
+  if (status === "OK" || !status) return;
+  const reason = ps.reason || "";
+  if (status === "LOGIN_REQUIRED") {
+    if (reason.includes("bot")) throw new Error(`Request blocked for ${videoId}: bot detected`);
+    if (reason.includes("inappropriate")) throw new Error(`Age restricted: ${videoId}`);
+  }
+  if (status === "ERROR" && reason.includes("unavailable")) {
+    if (videoId.startsWith("http")) throw new Error(`Invalid video ID: pass the ID, not the URL`);
+    throw new Error(`Video unavailable: ${videoId}`);
+  }
+  const subreasons = ps.errorScreen?.playerErrorMessageRenderer?.subreason?.runs?.map((r: any) => r.text).join("") || "";
+  throw new Error(`Video unplayable (${videoId}): ${reason} ${subreasons}`.trim());
+}
+
+function extractCaptionsJson(data: any, videoId: string): any {
+  assertPlayability(data, videoId);
+  const cj = data?.captions?.playerCaptionsTracklistRenderer;
+  if (!cj || !cj.captionTracks) throw new Error(`Transcripts disabled for ${videoId}`);
+  return cj;
+}
+
+function buildTranscriptList(captionsJson: any): TranscriptInfo[] {
+  const tlLangs = (captionsJson.translationLanguages || []).map((tl: any) => ({
+    language: tl.languageName?.runs?.[0]?.text || tl.languageName?.simpleText || "",
+    languageCode: tl.languageCode,
+  }));
+  return (captionsJson.captionTracks || []).map((t: any) => ({
+    language: t.name?.runs?.[0]?.text || t.name?.simpleText || "",
+    languageCode: t.languageCode,
+    isGenerated: t.kind === "asr",
+    isTranslatable: !!t.isTranslatable,
+    baseUrl: (t.baseUrl || "").replace(/&fmt=srv3/g, ""),
+    translationLanguages: t.isTranslatable ? tlLangs : [],
+  }));
+}
+
+function findTranscript(
+  transcripts: TranscriptInfo[],
+  languages: string[],
+  excludeGenerated: boolean,
+  excludeManual: boolean
+): TranscriptInfo {
+  let filtered = transcripts;
+  if (excludeGenerated) filtered = filtered.filter((t) => !t.isGenerated);
+  if (excludeManual) filtered = filtered.filter((t) => t.isGenerated);
+  for (const lang of languages) {
+    const found = filtered.find((t) => t.languageCode === lang);
+    if (found) return found;
+  }
+  const available = filtered.map((t) => `${t.languageCode} ("${t.language}")`).join(", ");
+  throw new Error(`No transcript found for languages [${languages.join(", ")}]. Available: ${available || "none"}`);
+}
+
+async function fetchTranscriptSnippets(info: TranscriptInfo, translateTo?: string): Promise<{ snippets: Snippet[]; language: string; languageCode: string }> {
+  let url = info.baseUrl;
+  let lang = info.language;
+  let langCode = info.languageCode;
+  if (translateTo) {
+    if (!info.isTranslatable) throw new Error(`Transcript ${info.languageCode} is not translatable`);
+    const tl = info.translationLanguages.find((t) => t.languageCode === translateTo);
+    if (!tl) throw new Error(`Translation language ${translateTo} not available`);
+    url += `&tlang=${translateTo}`;
+    lang = tl.language;
+    langCode = translateTo;
+  }
+  const r = await fetch(url, { headers: { "Accept-Language": "en-US" } });
+  if (!r.ok) throw new Error(`HTTP ${r.status} fetching transcript`);
+  return { snippets: parseTranscriptXml(await r.text()), language: lang, languageCode: langCode };
+}
+
+// --- Metadata & chapters ---
+
+function parseChapters(description: string, duration: number = 0): Chapter[] {
+  const raw: { title: string; start: number }[] = [];
+  for (const line of description.split("\n")) {
+    const m = line.trim().match(/^(?:(\d{1,2}):)?(\d{1,2}):(\d{2})\s+(.+)$/);
+    if (m) {
+      const h = m[1] ? parseInt(m[1]) : 0;
+      raw.push({ title: m[4].trim(), start: h * 3600 + parseInt(m[2]) * 60 + parseInt(m[3]) });
+    }
+  }
+  if (raw.length < 2) return [];
+  return raw.map((ch, i) => ({
+    title: ch.title,
+    start: ch.start,
+    end: i < raw.length - 1 ? raw[i + 1].start : Math.max(duration, ch.start),
+  }));
+}
+
+function getThumbnailUrls(videoId: string, data: any): string[] {
+  const urls = [
+    `https://i.ytimg.com/vi/${videoId}/maxresdefault.jpg`,
+    `https://i.ytimg.com/vi/${videoId}/hqdefault.jpg`,
+  ];
+  const thumbnails = data?.videoDetails?.thumbnail?.thumbnails ||
+    data?.microformat?.playerMicroformatRenderer?.thumbnail?.thumbnails || [];
+  if (thumbnails.length) {
+    const sorted = [...thumbnails].sort((a: any, b: any) => (b.width || 0) - (a.width || 0));
+    for (const t of sorted) if (t.url && !urls.includes(t.url)) urls.push(t.url);
+  }
+  return urls;
+}
+
+function buildVideoMeta(data: any, videoId: string, langInfo: { code: string; name: string; isGenerated: boolean }, chapters: Chapter[]): VideoMeta {
+  const vd = data?.videoDetails || {};
+  const mf = data?.microformat?.playerMicroformatRenderer || {};
+  return {
+    videoId,
+    title: vd.title || mf.title?.simpleText || "",
+    channel: vd.author || mf.ownerChannelName || "",
+    channelId: vd.channelId || mf.externalChannelId || "",
+    description: vd.shortDescription || mf.description?.simpleText || "",
+    duration: parseInt(vd.lengthSeconds || "0"),
+    publishDate: mf.publishDate || mf.uploadDate || "",
+    url: `https://www.youtube.com/watch?v=${videoId}`,
+    coverImage: "",
+    thumbnailUrl: getThumbnailUrls(videoId, data)[0],
+    language: langInfo,
+    chapters,
+  };
+}
+
+async function downloadCoverImage(urls: string[], outputPath: string): Promise<boolean> {
+  for (const u of urls) {
+    try {
+      const r = await fetch(u);
+      if (r.ok) {
+        writeFileSync(outputPath, Buffer.from(await r.arrayBuffer()));
+        return true;
+      }
+    } catch {}
+  }
+  return false;
+}
+
+function parseSrt(srt: string): Snippet[] {
+  const blocks = srt.trim().split(/\n\n+/);
+  const snippets: Snippet[] = [];
+  for (const block of blocks) {
+    const lines = block.split("\n");
+    if (lines.length < 3) continue;
+    const m = lines[1].match(/(\d{2}):(\d{2}):(\d{2}),(\d{3})\s*-->\s*(\d{2}):(\d{2}):(\d{2}),(\d{3})/);
+    if (!m) continue;
+    const start = parseInt(m[1]) * 3600 + parseInt(m[2]) * 60 + parseInt(m[3]) + parseInt(m[4]) / 1000;
+    const end = parseInt(m[5]) * 3600 + parseInt(m[6]) * 60 + parseInt(m[7]) + parseInt(m[8]) / 1000;
+    snippets.push({ text: lines.slice(2).join(" "), start, duration: end - start });
+  }
+  return snippets;
+}
+
+// --- Timestamp formatting ---
+
+function ts(t: number): string {
+  const h = Math.floor(t / 3600);
+  const m = Math.floor((t % 3600) / 60);
+  const s = Math.floor(t % 60);
+  return `${String(h).padStart(2, "0")}:${String(m).padStart(2, "0")}:${String(s).padStart(2, "0")}`;
+}
+
+function tsMs(t: number, sep: string): string {
+  const h = Math.floor(t / 3600);
+  const m = Math.floor((t % 3600) / 60);
+  const s = Math.floor(t % 60);
+  const ms = Math.round((t - Math.floor(t)) * 1000);
+  return `${String(h).padStart(2, "0")}:${String(m).padStart(2, "0")}:${String(s).padStart(2, "0")}${sep}${String(ms).padStart(3, "0")}`;
+}
+
+// --- Paragraph grouping ---
+
+interface Paragraph {
+  text: string;
+  start: number;
+  end: number;
+}
+
+function groupIntoParagraphs(snippets: Snippet[]): Paragraph[] {
+  if (!snippets.length) return [];
+  const paras: Paragraph[] = [];
+  let buf: Snippet[] = [];
+  for (let i = 0; i < snippets.length; i++) {
+    buf.push(snippets[i]);
+    const last = i === snippets.length - 1;
+    const gap = !last && snippets[i + 1].start - (snippets[i].start + snippets[i].duration) > 1.5;
+    if (last || gap || buf.length >= 8) {
+      const lastS = buf[buf.length - 1];
+      paras.push({ text: buf.map(s => s.text).join(" "), start: buf[0].start, end: lastS.start + lastS.duration });
+      buf = [];
+    }
+  }
+  return paras;
+}
+
+// --- Sentence segmentation ---
+
+const SENTENCE_END_RE = /[.?!…。？！⁈⁇‼‽．]/;
+
+function isCJK(ch: string): boolean {
+  const code = ch.charCodeAt(0);
+  return (code >= 0x4E00 && code <= 0x9FFF) ||
+    (code >= 0x3040 && code <= 0x309F) ||
+    (code >= 0x30A0 && code <= 0x30FF) ||
+    (code >= 0xAC00 && code <= 0xD7AF) ||
+    (code >= 0x3400 && code <= 0x4DBF) ||
+    (code >= 0xF900 && code <= 0xFAFF);
+}
+
+function splitSnippetAtPunctuation(s: Snippet): { text: string; start: number; end: number }[] {
+  const { text, start, duration } = s;
+  const end = start + duration;
+  if (!text.length) return [];
+
+  const splitPoints: number[] = [];
+  for (let i = 0; i < text.length; i++) {
+    if (SENTENCE_END_RE.test(text[i])) {
+      while (i + 1 < text.length && SENTENCE_END_RE.test(text[i + 1])) i++;
+      if (i < text.length - 1) splitPoints.push(i);
+    }
+  }
+
+  if (!splitPoints.length) return [{ text, start, end }];
+
+  const parts: { text: string; start: number; end: number }[] = [];
+  let prev = 0;
+  for (const pos of splitPoints) {
+    const partText = text.slice(prev, pos + 1).trim();
+    if (partText) {
+      parts.push({
+        text: partText,
+        start: start + (prev / text.length) * duration,
+        end: start + ((pos + 1) / text.length) * duration,
+      });
+    }
+    prev = pos + 1;
+  }
+
+  const remaining = text.slice(prev).trim();
+  if (remaining) {
+    parts.push({ text: remaining, start: start + (prev / text.length) * duration, end });
+  }
+
+  return parts;
+}
+
+function mergeTexts(texts: string[]): string {
+  if (!texts.length) return "";
+  let result = texts[0];
+  for (let i = 1; i < texts.length; i++) {
+    const next = texts[i];
+    if (!next) continue;
+    const lastChar = result[result.length - 1];
+    const firstChar = next[0];
+    if (isCJK(lastChar) || isCJK(firstChar)) {
+      result += next;
+    } else {
+      result = result.trimEnd() + " " + next.trimStart();
+    }
+  }
+  return result.replace(/ {2,}/g, " ");
+}
+
+function segmentIntoSentences(snippets: Snippet[]): Sentence[] {
+  const parts: { text: string; start: number; end: number }[] = [];
+  for (const s of snippets) parts.push(...splitSnippetAtPunctuation(s));
+
+  const sentences: Sentence[] = [];
+  let buf: { text: string; start: number; end: number }[] = [];
+
+  for (const part of parts) {
+    buf.push(part);
+    if (SENTENCE_END_RE.test(part.text[part.text.length - 1])) {
+      sentences.push({
+        text: mergeTexts(buf.map(b => b.text)),
+        start: ts(buf[0].start),
+        end: ts(buf[buf.length - 1].end),
+      });
+      buf = [];
+    }
+  }
+
+  if (buf.length) {
+    sentences.push({
+      text: mergeTexts(buf.map(b => b.text)),
+      start: ts(buf[0].start),
+      end: ts(buf[buf.length - 1].end),
+    });
+  }
+
+  return sentences;
+}
+
+function parseTs(t: string): number {
+  const [h, m, s] = t.split(":").map(Number);
+  return h * 3600 + m * 60 + s;
+}
+
+function groupSentenceParas(sentences: Sentence[]): Paragraph[] {
+  if (!sentences.length) return [];
+  const paras: Paragraph[] = [];
+  let buf: Sentence[] = [];
+  for (let i = 0; i < sentences.length; i++) {
+    buf.push(sentences[i]);
+    const last = i === sentences.length - 1;
+    const gap = !last && parseTs(sentences[i + 1].start) - parseTs(sentences[i].end) > 2;
+    if (last || gap || buf.length >= 5) {
+      paras.push({
+        text: mergeTexts(buf.map(s => s.text)),
+        start: parseTs(buf[0].start),
+        end: parseTs(buf[buf.length - 1].end),
+      });
+      buf = [];
+    }
+  }
+  return paras;
+}
+
+// --- Format functions ---
+
+function formatSrt(snippets: Snippet[]): string {
+  return snippets
+    .map((s, i) => {
+      const end = i < snippets.length - 1 && snippets[i + 1].start < s.start + s.duration
+        ? snippets[i + 1].start
+        : s.start + s.duration;
+      return `${i + 1}\n${tsMs(s.start, ",")} --> ${tsMs(end, ",")}\n${s.text}`;
+    })
+    .join("\n\n") + "\n";
+}
+
+function yamlEscape(s: string): string {
+  if (/[:"'{}\[\]#&*!|>%@`\n]/.test(s) || s.trim() !== s) return `"${s.replace(/\\/g, "\\\\").replace(/"/g, '\\"')}"`;
+  return s;
+}
+
+function extractSummary(description: string): string {
+  if (!description) return "";
+  const firstPara = description.split(/\n\s*\n/)[0].trim();
+  const lines = firstPara.split("\n").filter(l => !/^\s*(https?:\/\/|#|@|\d+:\d+)/.test(l) && l.trim());
+  return lines.join(" ").slice(0, 300).trim();
+}
+
+function formatMarkdown(sentences: Sentence[], meta: VideoMeta, opts: { timestamps: boolean; chapters: boolean; speakers: boolean }, snippets?: Snippet[]): string {
+  const summary = extractSummary(meta.description);
+  let md = "---\n";
+  md += `title: ${yamlEscape(meta.title)}\n`;
+  md += `channel: ${yamlEscape(meta.channel)}\n`;
+  if (meta.publishDate) md += `date: ${meta.publishDate}\n`;
+  md += `url: ${yamlEscape(meta.url)}\n`;
+  if (meta.coverImage) md += `cover: ${meta.coverImage}\n`;
+  if (summary) md += `description: ${yamlEscape(summary)}\n`;
+  if (meta.language) md += `language: ${meta.language.code}\n`;
+  md += "---\n\n";
+
+  if (opts.speakers) {
+    md += `# ${meta.title}\n\n`;
+    if (summary) md += `${summary}\n\n`;
+    if (meta.description) md += "# Description\n\n" + meta.description.trim() + "\n\n";
+    if (meta.chapters.length) {
+      md += "# Chapters\n\n";
+      for (const ch of meta.chapters) md += `* [${ts(ch.start)}] ${ch.title}\n`;
+      md += "\n";
+    }
+    md += "# Transcript\n\n";
+    md += snippets ? formatSrt(snippets) : "";
+    return md;
+  }
+
+  md += `# ${meta.title}\n\n`;
+  if (summary) md += `${summary}\n\n`;
+
+  const chapters = opts.chapters ? meta.chapters : [];
+
+  if (chapters.length) {
+    md += "## Table of Contents\n\n";
+    for (const ch of chapters) md += opts.timestamps ? `* [${ts(ch.start)}] ${ch.title}\n` : `* ${ch.title}\n`;
+    md += "\n";
+    if (meta.coverImage) md += `\n![cover](${meta.coverImage})\n`;
+    md += "\n";
+    for (let i = 0; i < chapters.length; i++) {
+      const nextStart = i < chapters.length - 1 ? chapters[i + 1].start : Infinity;
+      const chSentences = sentences.filter(s => parseTs(s.start) >= chapters[i].start && parseTs(s.start) < nextStart);
+      const paras = groupSentenceParas(chSentences);
+      md += opts.timestamps
+        ? `## [${ts(chapters[i].start)}] ${chapters[i].title}\n\n`
+        : `## ${chapters[i].title}\n\n`;
+      for (const p of paras) md += opts.timestamps ? `${p.text} [${ts(p.start)} → ${ts(p.end)}]\n\n` : `${p.text}\n\n`;
+      md += "\n";
+    }
+  } else {
+    const paras = groupSentenceParas(sentences);
+    for (const p of paras) md += opts.timestamps ? `${p.text} [${ts(p.start)} → ${ts(p.end)}]\n\n` : `${p.text}\n\n`;
+  }
+
+  return md.trimEnd() + "\n";
+}
+
+function formatListOutput(videoId: string, title: string, transcripts: TranscriptInfo[]): string {
+  const manual = transcripts.filter((t) => !t.isGenerated);
+  const generated = transcripts.filter((t) => t.isGenerated);
+  const tlLangs = transcripts.find((t) => t.translationLanguages.length > 0)?.translationLanguages || [];
+  const fmtList = (list: TranscriptInfo[]) =>
+    list.length ? list.map((t) => ` - ${t.languageCode} ("${t.language}")${t.isTranslatable ? " [TRANSLATABLE]" : ""}`).join("\n") : "None";
+  const fmtTl = tlLangs.length
+    ? tlLangs.map((t) => ` - ${t.languageCode} ("${t.language}")`).join("\n")
+    : "None";
+  return `Transcripts for ${videoId}${title ? ` (${title})` : ""}:\n\n(MANUALLY CREATED)\n${fmtList(manual)}\n\n(GENERATED)\n${fmtList(generated)}\n\n(TRANSLATION LANGUAGES)\n${fmtTl}`;
+}
+
+// --- File helpers ---
+
+function ensureDir(p: string) {
+  const dir = dirname(p);
+  if (!existsSync(dir)) mkdirSync(dir, { recursive: true });
+}
+
+function resolveBaseDir(outputDir: string): string {
+  return resolve(outputDir || "youtube-transcript");
+}
+
+function loadIndex(baseDir: string): Record<string, string> {
+  try { return JSON.parse(readFileSync(join(baseDir, ".index.json"), "utf-8")); } catch { return {}; }
+}
+
+function saveIndex(baseDir: string, index: Record<string, string>) {
+  const p = join(baseDir, ".index.json");
+  ensureDir(p);
+  writeFileSync(p, JSON.stringify(index, null, 2));
+}
+
+function lookupVideoDir(videoId: string, baseDir: string): string | null {
+  const rel = loadIndex(baseDir)[videoId];
+  if (rel) {
+    const dir = resolve(baseDir, rel);
+    if (existsSync(dir)) return dir;
+  }
+  return null;
+}
+
+function registerVideoDir(videoId: string, channelSlug: string, titleSlug: string, baseDir: string): string {
+  const rel = join(channelSlug, titleSlug);
+  const index = loadIndex(baseDir);
+  index[videoId] = rel;
+  saveIndex(baseDir, index);
+  return resolve(baseDir, rel);
+}
+
+function hasCachedData(videoDir: string): boolean {
+  return existsSync(join(videoDir, "meta.json")) && existsSync(join(videoDir, "transcript-raw.json"));
+}
+
+function loadMeta(videoDir: string): VideoMeta {
+  return JSON.parse(readFileSync(join(videoDir, "meta.json"), "utf-8"));
+}
+
+function loadSnippets(videoDir: string): Snippet[] {
+  return JSON.parse(readFileSync(join(videoDir, "transcript-raw.json"), "utf-8"));
+}
+
+function loadSentences(videoDir: string): Sentence[] {
+  return JSON.parse(readFileSync(join(videoDir, "transcript-sentences.json"), "utf-8"));
+}
+
+// --- Main processing ---
+
+async function fetchAndCache(videoId: string, baseDir: string, opts: Options): Promise<{ meta: VideoMeta; snippets: Snippet[]; sentences: Sentence[]; videoDir: string }> {
+  const html = await fetchHtml(videoId);
+  const apiKey = extractApiKey(html, videoId);
+  const data = await fetchInnertubeData(videoId, apiKey);
+  const captionsJson = extractCaptionsJson(data, videoId);
+  const transcripts = buildTranscriptList(captionsJson);
+  const info = findTranscript(transcripts, opts.languages, opts.excludeGenerated, opts.excludeManual);
+  const result = await fetchTranscriptSnippets(info, opts.translate || undefined);
+  const description = data?.videoDetails?.shortDescription || "";
+  const duration = parseInt(data?.videoDetails?.lengthSeconds || "0");
+  const chapters = parseChapters(description, duration);
+  const langInfo = { code: result.languageCode, name: result.language, isGenerated: info.isGenerated };
+  const meta = buildVideoMeta(data, videoId, langInfo, chapters);
+
+  const videoDir = registerVideoDir(videoId, slugify(meta.channel), slugify(meta.title), baseDir);
+  ensureDir(join(videoDir, "meta.json"));
+
+  writeFileSync(join(videoDir, "transcript-raw.json"), JSON.stringify(result.snippets, null, 2));
+
+  const sentences = segmentIntoSentences(result.snippets);
+  writeFileSync(join(videoDir, "transcript-sentences.json"), JSON.stringify(sentences, null, 2));
+
+  const imgPath = join(videoDir, "imgs", "cover.jpg");
+  ensureDir(imgPath);
+  const downloaded = await downloadCoverImage(getThumbnailUrls(videoId, data), imgPath);
+  meta.coverImage = downloaded ? "imgs/cover.jpg" : "";
+
+  writeFileSync(join(videoDir, "meta.json"), JSON.stringify(meta, null, 2));
+
+  return { meta, snippets: result.snippets, sentences, videoDir };
+}
+
+async function processVideo(videoId: string, opts: Options): Promise<VideoResult> {
+  const baseDir = resolveBaseDir(opts.outputDir);
+
+  // --list: always fetch fresh
+  if (opts.list) {
+    const html = await fetchHtml(videoId);
+    const apiKey = extractApiKey(html, videoId);
+    const data = await fetchInnertubeData(videoId, apiKey);
+    const title = data?.videoDetails?.title || "";
+    const captionsJson = extractCaptionsJson(data, videoId);
+    const transcripts = buildTranscriptList(captionsJson);
+    return { videoId, title, content: formatListOutput(videoId, title, transcripts) };
+  }
+
+  let videoDir = lookupVideoDir(videoId, baseDir);
+  let meta: VideoMeta;
+  let snippets: Snippet[];
+  let sentences: Sentence[];
+  let needsFetch = opts.refresh || !videoDir || !hasCachedData(videoDir);
+
+  if (!needsFetch && videoDir) {
+    meta = loadMeta(videoDir);
+    snippets = loadSnippets(videoDir);
+    sentences = loadSentences(videoDir);
+    const wantLangs = opts.translate ? [opts.translate] : opts.languages;
+    if (!wantLangs.includes(meta.language.code)) needsFetch = true;
+    // Backfill chapter end times for caches created before this field existed
+    if (!needsFetch && meta.chapters.length > 0 && meta.chapters.some((ch: any) => ch.end === undefined)) {
+      for (let i = 0; i < meta.chapters.length; i++) {
+        meta.chapters[i].end = i < meta.chapters.length - 1
+          ? meta.chapters[i + 1].start
+          : Math.max(meta.duration, meta.chapters[i].start);
+      }
+      try { writeFileSync(join(videoDir, "meta.json"), JSON.stringify(meta, null, 2)); } catch {}
+    }
+  }
+
+  if (needsFetch) {
+    const result = await fetchAndCache(videoId, baseDir, opts);
+    meta = result.meta;
+    snippets = result.snippets;
+    sentences = result.sentences;
+    videoDir = result.videoDir;
+  } else {
+    meta = meta!;
+    snippets = snippets!;
+    sentences = sentences!;
+  }
+
+  let content: string;
+  let ext: string;
+
+  if (opts.format === "srt") {
+    content = formatSrt(snippets);
+    ext = "srt";
+  } else {
+    content = formatMarkdown(sentences, meta, {
+      timestamps: opts.timestamps,
+      chapters: opts.chapters,
+      speakers: opts.speakers,
+    }, snippets);
+    ext = "md";
+  }
+
+  const filePath = opts.output ? resolve(opts.output) : join(videoDir!, `transcript.${ext}`);
+  ensureDir(filePath);
+  writeFileSync(filePath, content);
+
+  return { videoId, title: meta.title, filePath };
+}
+
+// --- CLI ---
+
+function printHelp() {
+  console.log(`Usage: bun main.ts <video-url-or-id> [options]
+
+Options:
+  --languages <codes>          Language codes, comma-separated (default: en)
+  --format <fmt>               Output format: text, srt (default: text)
+  --translate <code>           Translate to language code
+  --list                       List available transcripts
+  --timestamps                 Include timestamps (default: on)
+  --no-timestamps              Disable timestamps
+  --chapters                   Chapter segmentation from description
+  --speakers                   Raw transcript with metadata for speaker identification
+  --exclude-generated          Skip auto-generated transcripts
+  --exclude-manually-created   Skip manually created transcripts
+  --refresh                    Force re-fetch (ignore cache)
+  -o, --output <path>          Save to specific file path
+  --output-dir <dir>           Base output directory (default: youtube-transcript)
+  -h, --help                   Show help`);
+}
+
+function parseArgs(argv: string[]): Options | null {
+  const opts: Options = {
+    videoIds: [],
+    languages: ["en"],
+    format: "text",
+    translate: "",
+    list: false,
+    excludeGenerated: false,
+    excludeManual: false,
+    output: "",
+    outputDir: "",
+    timestamps: true,
+    chapters: false,
+    speakers: false,
+    refresh: false,
+  };
+
+  for (let i = 0; i < argv.length; i++) {
+    const arg = argv[i];
+    if (arg === "-h" || arg === "--help") {
+      printHelp();
+      process.exit(0);
+    } else if (arg === "--languages") {
+      const v = argv[++i];
+      if (v) opts.languages = v.split(",").map((s) => s.trim());
+    } else if (arg === "--format") {
+      const v = argv[++i]?.toLowerCase();
+      if (v === "text" || v === "srt") opts.format = v;
+      else {
+        console.error(`Invalid format: ${v}. Use: text, srt`);
+        return null;
+      }
+    } else if (arg === "--translate") {
+      opts.translate = argv[++i] || "";
+    } else if (arg === "--list" || arg === "--list-transcripts") {
+      opts.list = true;
+    } else if (arg === "--timestamps" || arg === "-t") {
+      opts.timestamps = true;
+    } else if (arg === "--no-timestamps") {
+      opts.timestamps = false;
+    } else if (arg === "--chapters") {
+      opts.chapters = true;
+    } else if (arg === "--speakers") {
+      opts.speakers = true;
+    } else if (arg === "--exclude-generated") {
+      opts.excludeGenerated = true;
+    } else if (arg === "--exclude-manually-created") {
+      opts.excludeManual = true;
+    } else if (arg === "--refresh") {
+      opts.refresh = true;
+    } else if (arg === "-o" || arg === "--output") {
+      opts.output = argv[++i] || "";
+    } else if (arg === "--output-dir") {
+      opts.outputDir = argv[++i] || "";
+    } else if (!arg.startsWith("-")) {
+      opts.videoIds.push(extractVideoId(arg));
+    }
+  }
+
+  if (opts.videoIds.length === 0) {
+    console.error("Error: At least one video URL or ID required");
+    printHelp();
+    return null;
+  }
+  return opts;
+}
+
+async function main() {
+  const opts = parseArgs(process.argv.slice(2));
+  if (!opts) process.exit(1);
+
+  if (opts.excludeGenerated && opts.excludeManual) {
+    console.error("Error: Cannot exclude both generated and manually created transcripts");
+    process.exit(1);
+  }
+
+  for (const videoId of opts.videoIds) {
+    try {
+      const r = await processVideo(videoId, opts);
+      if (r.error) console.error(`Error (${r.videoId}): ${r.error}`);
+      else if (r.filePath) console.log(r.filePath);
+      else if (r.content) console.log(r.content);
+    } catch (e) {
+      console.error(`Error (${videoId}): ${(e as Error).message}`);
+    }
+  }
+}
+
+main();