transcriber
Fetch and store transcripts from YouTube videos for deep content analysis.
Best use case
transcriber is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Fetch and store transcripts from YouTube videos for deep content analysis.
Teams using transcriber should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/transcriber/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How transcriber Compares
| Feature / Agent | transcriber | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Fetch and store transcripts from YouTube videos for deep content analysis.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Transcriber Skill The Transcriber skill allows the agent to download the text transcript (closed captions) of YouTube videos. This is essential for converting video tutorials and discussions into searchable and indexable text for the Croissant metadata engine. Transcripts are stored locally in `./data/transcripts/` as plain text files named by their YouTube Video ID. ## Tools ### 1. Transcribe YouTube Video Fetches the transcript for a single video ID/URL or automatically processes the `youtube_search_results.json` if no arguments are provided. **Usage:** ```bash # Transcribe a specific video python3 transcriber/scripts/transcribe.py <VIDEO_URL_OR_ID> # Batch transcribe the results from the last Youtuber search python3 transcriber/scripts/transcribe.py ``` ### 2. Fetch Video Metadata Extracts high-fidelity metadata (Title, Description, Views, Upload Date) in Schema.org JSON-LD format. **Usage:** ```bash python3 transcriber/scripts/get_metadata.py <VIDEO_URL_OR_ID> ``` **Output:** Metadata is saved to `./data/metadata/<VIDEO_ID>.json`. **Example:** `python3 transcriber/scripts/transcribe.py https://www.youtube.com/watch?v=6cWcZ2G53gE`
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