Task Router Skill
Task Router
Run a lightweight YouTube transcript workflow: transcribe, attribution cleanup, translation, and packaging with minimal tooling. Use for repeatable transcript handoff tasks when you need a concise, auditable process over custom automation.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install bluebirdback/youtube-transcript-pipeline-liteInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Use this when a user asks for:
Transcribe
Speaker cleanup (small-impact)
Translate (optional)
[HH:MM:SS] Speaker: text.Package for handoff
transcripts/, artifacts/, MANIFEST.txt.See references/limits.md for quick trade-offs and rollback guidance.
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# YouTube Transcript Pipeline (Lite) ## 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.
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