youtube-to-ebook
Transform YouTube videos into beautifully formatted ebook articles with transcripts
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Transform YouTube videos into beautifully formatted ebook articles with transcripts
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | youtube-to-ebook |
| description | Transform YouTube videos into beautifully formatted ebook articles with transcripts |
Transform YouTube videos from your favorite channels into well-written magazine-style articles, delivered as an EPUB ebook.
Ask: "Set up YouTube to ebook for me"
I'll guide you through:
| Command | Description |
|---|---|
python main.py | Generate ebook from latest videos |
python main.py --channels | Edit channel list |
python dashboard.py | Launch web dashboard |
youtube-newsletter/
├── get_videos.py # Fetch latest videos
├── get_transcripts.py # Extract transcripts
├── write_articles.py # Transform to articles
├── send_email.py # Create EPUB & send
├── main.py # Run full pipeline
├── channels.txt # Your channel list
└── .env # API keys
Problem: Filtering by duration doesn't work—some Shorts are longer than 60 seconds.
Solution: Check if the /shorts/ URL resolves:
def is_youtube_short(video_id):
shorts_url = f"https://www.youtube.com/shorts/{video_id}"
response = requests.head(shorts_url, allow_redirects=True, timeout=5)
return "/shorts/" in response.url
Problem: YouTube Search API doesn't return truly chronological results.
Solution: Use the channel's uploads playlist via playlistItems API:
# Get uploads playlist ID from channel
channel_info = youtube.channels().list(
part="contentDetails",
forHandle=handle
).execute()
uploads_playlist_id = channel_info["items"][0]["contentDetails"]["relatedPlaylists"]["uploads"]
# Fetch from uploads playlist (always chronological)
youtube.playlistItems().list(
part="snippet",
playlistId=uploads_playlist_id,
maxResults=15
).execute()
Problem: YouTubeTranscriptApi.get_transcript() no longer works.
Solution: Use instance method:
from youtube_transcript_api import YouTubeTranscriptApi
ytt_api = YouTubeTranscriptApi()
transcript = ytt_api.fetch(video_id)
Problem: Fetching many transcripts quickly triggers rate limits.
Solution: Add 2-second delays between requests:
import time
for video in videos:
transcript = get_transcript(video["video_id"])
time.sleep(2)
Problem: Auto-transcripts misspell names and technical terms.
Solution: Include video title and description in Claude's context—these usually have correct spellings.
Problem: GitHub Actions and cloud servers are blocked by YouTube for transcript fetching.
Solution: Run automation locally on your Mac using launchd:
<!-- ~/Library/LaunchAgents/com.youtube.ebook.plist -->
<plist version="1.0">
<dict>
<key>Label</key>
<string>com.youtube.ebook</string>
<key>ProgramArguments</key>
<array>
<string>/usr/bin/python3</string>
<string>/path/to/main.py</string>
</array>
<key>StartCalendarInterval</key>
<dict>
<key>Weekday</key>
<integer>3</integer>
<key>Hour</key>
<integer>7</integer>
</dict>
</dict>
</plist>
Edit the prompt in write_articles.py to change article tone:
Add Gmail credentials to .env to receive ebooks via email:
GMAIL_ADDRESS=your@gmail.com
GMAIL_APP_PASSWORD=your-app-password
┌─────────────┐ ┌──────────────┐ ┌───────────────┐ ┌────────────┐
│ Fetch Videos│───▶│Get Transcripts│───▶│Write Articles │───▶│Create EPUB │
│ (YouTube API)│ │(Transcript API)│ │ (Claude AI) │ │ (ebooklib) │
└─────────────┘ └──────────────┘ └───────────────┘ └────────────┘
The generated EPUB contains:
Runs a claim-first evaluation of any open-source repo, tool, or skill against its own README promises and renders an editorial dossier (HTML one-pager) with a 0-100 score, 4-category verdict (🏭 Production / 🛠 Available / ⚠️ Risky / 🛑 Don't use), and prescriptive next-steps. Use this skill whenever the user says "eval 一下这个 repo", "eval 这个项目", "eval 这个 skill", "evaluate this repo", "评测一下", "试用这个 repo", "这个东西好不好用", or pastes a GitHub URL and asks whether to adopt it. Also use when comparing two repos on the same dimensions, or auditing a repo's claim-vs-reality gap. Do not wait for explicit "please use repo-evals" — trigger on the intent, not the skill name.
Turn any codebase into a beautiful, interactive single-page HTML course that teaches how the code works to non-technical people. Use this skill whenever someone wants to create an interactive course, tutorial, or educational walkthrough from a codebase or project. Also trigger when users mention 'turn this into a course,' 'explain this codebase interactively,' 'teach this code,' 'interactive tutorial from code,' 'codebase walkthrough,' 'learn from this codebase,' or 'make a course from this project.' This skill produces a stunning, self-contained HTML file with scroll-based navigation, animated visualizations, embedded quizzes, and code-with-plain-English side-by-side translations.
AI builders digest — monitors top AI builders on X and YouTube podcasts, remixes their content into digestible summaries. Use when the user wants AI industry insights, builder updates, or invokes /ai. No API keys or dependencies required — all content is fetched from a central feed.
Generate a podcast episode from content you provide. Paste text, point to local files, or describe a topic. Two AI hosts discuss it in a natural conversation. Listen locally or in your favorite podcast app via RSS.
小红书自动化技能集合。支持认证登录、内容发布、搜索发现、社交互动、复合运营。 当用户要求操作小红书(发布、搜索、评论、登录、分析、点赞、收藏)时触发。
Best practices for Remotion - Video creation in React