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3 Commits

Author SHA1 Message Date
Jim Liu 宝玉 fbd9f9b622 chore: release v1.76.0 2026-03-21 23:08:21 -05:00
Jim Liu 宝玉 b6e293d059 fix(baoyu-markdown-to-html): use process.execPath and tsx import in test runner 2026-03-21 23:07:46 -05:00
Jim Liu 宝玉 bb78aab095 feat(baoyu-youtube-transcript): add title heading, description summary, and cover image to markdown output 2026-03-21 23:07:44 -05:00
8 changed files with 54 additions and 9 deletions
+1 -1
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@@ -6,7 +6,7 @@
},
"metadata": {
"description": "Skills shared by Baoyu for improving daily work efficiency",
"version": "1.75.0"
"version": "1.76.0"
},
"plugins": [
{
+8
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@@ -2,6 +2,14 @@
English | [中文](./CHANGELOG.zh.md)
## 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
+8
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@@ -2,6 +2,14 @@
[English](./CHANGELOG.md) | 中文
## 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
+1 -1
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@@ -1,6 +1,6 @@
# CLAUDE.md
Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.75.0**.
Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.76.0**.
## Architecture
@@ -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",
+2 -2
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@@ -88,7 +88,7 @@ Accepts any of these as video input:
| Format | Extension | Description |
|--------|-----------|-------------|
| `text` | `.md` | Markdown with frontmatter, natural paragraphs, optional timestamps/chapters/speakers |
| `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
@@ -147,7 +147,7 @@ If no chapter timestamps exist in the description, the transcript is output as g
### 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, language)
- 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)
@@ -5,9 +5,12 @@ You are an expert transcript specialist. Process the raw transcript file (with Y
## Output Structure
Produce a single cohesive markdown file containing:
1. YAML frontmatter (keep the original frontmatter from the raw file)
2. Table of Contents
3. Full chapter-segmented transcript with speaker labels
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.
@@ -79,13 +82,20 @@ 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]
@@ -505,17 +505,28 @@ function yamlEscape(s: string): string {
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";
@@ -527,12 +538,17 @@ function formatMarkdown(sentences: Sentence[], meta: VideoMeta, opts: { timestam
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` : `* ${ch.title}\n`;
md += "\n\n";
md += "\n";
if (meta.coverImage) md += `\n![cover](${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);