YouTube Transcript Pipeline Lite

Run a lightweight YouTube transcript workflow: transcribe, attribution cleanup, translation, and packaging with minimal tooling. Use for repeatable transcrip...

Quick Start

Use this when a user asks for:

• YouTube transcript generation and cleanup
• speaker correction around interview/interjector vs main speaker
• translated transcript output while preserving timestamps/speakers
• ready-to-share folder packaging

Minimal Workflow

1. Transcribe

   • Run your existing transcript flow for the target video (word-level preferred for reliable speaker calibration).
   • Keep all raw outputs.

2. Speaker cleanup (small-impact)

   • Preserve the default/primary speaker mapping.
   • Only flip clearly short-interjection/question lines when they are obviously misattributed.
   • Keep line count and timestamps unchanged.

3. Translate (optional)

   • Translate content line-by-line.
   • Keep format exactly: [HH:MM:SS] Speaker: text.
   • Keep technical terms unless explicitly asked to simplify.

4. Package for handoff

   • Create concise structure: transcripts/, artifacts/, MANIFEST.txt.
   • Include one reviewed transcript + one translated version when asked.

What not to do in this skill

• Do not introduce heavy automation assumptions.
• Do not change line/timestamp structure unless user explicitly asks.
• Do not aggressively relabel all speaker turns; prefer conservative flips.

Quality checks

• Validate final line counts against source.
• Confirm active final files are present and clearly named.
• Keep every major handoff stage discoverable in manifest.

Reference

See references/limits.md for quick trade-offs and rollback guidance.