— name: youtube-content description: > Fetch YouTube video transcripts and transform them into structured content (chapters, summaries, threads, blog posts). 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. — # YouTube Content Tool Extract transcripts from YouTube videos and convert them into useful formats. ## Setup “`bash 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. “`bash # JSON output with metadata python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID" # Plain text (good for piping into further processing) python3 SKILL_DIR/scripts/fetch_transcript.py "URL" –text-only # With timestamps python3 SKILL_DIR/scripts/fetch_transcript.py "URL" –timestamps # Specific language with fallback chain 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: – **Chapters**: Group by topic shifts, output timestamped chapter list – **Summary**: Concise 5-10 sentence overview of the entire video – **Chapter summaries**: Chapters with a short paragraph summary for each – **Thread**: Twitter/X thread format — numbered posts, each under 280 chars – **Blog post**: Full article with title, sections, and key takeaways – **Quotes**: Notable quotes with timestamps ### Example — Chapters Output “` 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 “` ## Workflow 1. **Fetch** the transcript using the helper script with `–text-only –timestamps`. 2. **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. 3. **Chunk if needed**: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk before merging. 4. **Transform** into the requested output format. If the user did not specify a format, default to a summary. 5. **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.