73 lines
3.1 KiB
Markdown
73 lines
3.1 KiB
Markdown
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---
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name: youtube-content
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description: >
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Fetch YouTube video transcripts and transform them into structured content
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(chapters, summaries, threads, blog posts). Use when the user shares a YouTube
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URL or video link, asks to summarize a video, requests a transcript, or wants
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to extract and reformat content from any YouTube video.
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---
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# YouTube Content Tool
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Extract transcripts from YouTube videos and convert them into useful formats.
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## Setup
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```bash
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pip install youtube-transcript-api
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```
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## Helper Script
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`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.
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```bash
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# JSON output with metadata
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python3 SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID"
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# Plain text (good for piping into further processing)
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python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --text-only
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# With timestamps
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python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --timestamps
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# Specific language with fallback chain
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python3 SKILL_DIR/scripts/fetch_transcript.py "URL" --language tr,en
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```
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## Output Formats
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After fetching the transcript, format it based on what the user asks for:
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- **Chapters**: Group by topic shifts, output timestamped chapter list
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- **Summary**: Concise 5-10 sentence overview of the entire video
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- **Chapter summaries**: Chapters with a short paragraph summary for each
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- **Thread**: Twitter/X thread format — numbered posts, each under 280 chars
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- **Blog post**: Full article with title, sections, and key takeaways
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- **Quotes**: Notable quotes with timestamps
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### Example — Chapters Output
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```
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00:00 Introduction — host opens with the problem statement
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03:45 Background — prior work and why existing solutions fall short
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12:20 Core method — walkthrough of the proposed approach
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24:10 Results — benchmark comparisons and key takeaways
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31:55 Q&A — audience questions on scalability and next steps
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```
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## Workflow
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1. **Fetch** the transcript using the helper script with `--text-only --timestamps`.
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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.
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3. **Chunk if needed**: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk before merging.
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4. **Transform** into the requested output format. If the user did not specify a format, default to a summary.
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5. **Verify**: re-read the transformed output to check for coherence, correct timestamps, and completeness before presenting.
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## Error Handling
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- **Transcript disabled**: tell the user; suggest they check if subtitles are available on the video page.
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- **Private/unavailable video**: relay the error and ask the user to verify the URL.
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- **No matching language**: retry without `--language` to fetch any available transcript, then note the actual language to the user.
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- **Dependency missing**: run `pip install youtube-transcript-api` and retry.
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