A lightweight workflow for transcribing, cleaning, translating, and packaging YouTube video transcripts with high accuracy and auditability.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-transcript-pipeline-lite
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install youtube-transcript-pipeline-lite using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The YouTube Transcript Pipeline Lite is a specialized technical workflow designed for developers and content creators who require precise control over transcript processing. This skill focuses on a concise, auditable process for generating transcripts, correcting speaker attributions, and performing line-by-line translations while maintaining strict timestamp integrity. By prioritizing reliability over complex automation, this entry in the Openclaw Skills library ensures that your transcript handoffs are professional, formatted correctly, and ready for immediate distribution or further development.
To utilize this skill within your Openclaw Skills environment, ensure your workspace is prepared for directory creation and file management.
# Initialize the transcript directory structure
mkdir -p transcripts/ artifacts/
touch MANIFEST.txt
Ensure your agent has access to your preferred transcription engine to generate the initial word-level output before initiating the cleanup and packaging phases.
The skill organizes transcript data and metadata into a standardized structure for easy handoff:
| File/Folder | Description |
|---|---|
| transcripts/ | Contains the primary reviewed and optional translated transcript files. |
| artifacts/ | Stores raw transcription outputs and intermediate processing logs. |
| MANIFEST.txt | A high-level index of all included files and processing stages. |
Each transcript file follows the internal schema: [HH:MM:SS] Speaker Name: Transcript text to ensure timestamp consistency across all versions.
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