القائمة
Transform YouTube videos into beautifully formatted ebook articles with transcripts
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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
| 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: