| name | youtube-content |
| description | Pull a YouTube video's transcript and reshape it into summaries, chapters, threads, or blog posts.
Use when: "перескажи это видео", "сделай конспект youtube", "вытащи субтитры из видео", "summarize this YouTube video", "get the transcript", "turn this video into a blog post"
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YouTube Content Tool
When to use
Use when the user shares a YouTube URL or video link, asks to summarize a video, requests a transcript, or wants to extract and reformat content from any YouTube video. Transforms transcripts into structured content (chapters, summaries, threads, blog posts).
Prerequisites
pip install youtube-transcript-api
Helper Script
SKILL_DIR is the directory containing this SKILL.md file. The script accepts any standard YouTube URL format, short links (youtu.be), shorts, embeds, live links, or a raw 11-character video ID.
python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID"
python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --text-only
python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --timestamps
python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --language tr,en
Output Formats
After fetching the transcript, format it based on what the user asks for.
If the user did not specify a format, default to a summary.
Chapters
Group by topic shifts, output a timestamped chapter list:
00:00 Introduction — host opens with the problem statement
03:45 Background — prior work and why existing solutions fall short
12:20 Core method — walkthrough of the proposed approach
24:10 Results — benchmark comparisons and key takeaways
31:55 Q&A — audience questions on scalability and next steps
Summary
A 5-10 sentence overview covering the video's main points, key arguments,
and conclusions. Written in third person, present tense.
Chapter Summaries
Chapters with a short paragraph summary for each:
## 00:00 Introduction (2 min)
The speaker introduces the topic of X and explains why it matters for Y.
## 02:15 Background (3 min)
A review of prior work in the field, covering approaches A, B, and C.
Thread (Twitter/X)
Numbered posts, each under 280 chars:
1/ Just watched an incredible talk on [topic]. Here are the key takeaways: 🧵
2/ First insight: [point]. This matters because [reason].
3/ The surprising part: [unexpected finding]. Most people assume [common belief], but the data shows otherwise.
4/ Practical takeaway: [actionable advice].
5/ Full video: [URL]
Blog Post
Full article with:
- Title
- Introduction paragraph
- H2 sections for each major topic
- Key quotes (with timestamps)
- Conclusion / takeaways
Quotes
Notable quotes with timestamps:
"The most important thing is not the model size, but the data quality." — 05:32
"We found that scaling past 70B parameters gave diminishing returns." — 12:18
Workflow
- Fetch the transcript using the helper script with
--text-only --timestamps.
- Validate: confirm the output is non-empty and in the expected language. If empty, retry without
--language to get any available transcript. If still empty, tell the user the video likely has transcripts disabled.
- Chunk if needed: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk before merging.
- Transform into the requested output format following the templates in the Output Formats section above — chapters, summary, chapter summaries, thread, blog post, quotes. If the user did not specify a format, default to a summary.
- Verify: re-read the transformed output to check for coherence, correct timestamps, and completeness before presenting.
Error Handling
- Transcript disabled: tell the user; suggest they check if subtitles are available on the video page.
- Private/unavailable video: relay the error and ask the user to verify the URL.
- No matching language: retry without
--language to fetch any available transcript, then note the actual language to the user.
- Dependency missing: run
pip install youtube-transcript-api and retry.
