transcribe-audio
Skill: Transcribe Audio (parent brief)
Transcribes video audio using WhisperX and produces a clean JSON transcript with word-level timing.
SKILL.md is the parent's dispatch brief. The sub-agent's working prompt lives in agent_prompt.md — inline its contents when launching the Task agent. Don't pass SKILL.md.
Parallelism
Launch at most 2 in parallel. WhisperX is already multithreaded internally (~4 CPU threads via CTranslate2); 2 processes is the throughput-vs-RAM sweet spot on a 16GB Mac.
Inputs to gather and pass inline
The parent reads library.yaml and settings.yaml and passes these values inline in each agent's prompt:
video_path— absolute path to the video filetranscript_output_dir— where to write the transcript JSON (e.g.libraries/<library>/transcripts)language_code— ISO 639-1 code (e.g.en,es) — parent maps from library.yaml'slanguagenamewhisper_model— model size from settings.yaml (e.g.small,medium,turbo)transcript_refinement— boolean from library.yaml. Iftrue, also pass:user_context(may be empty string)footage_summary(may be empty string)
After the agent returns, update library.yaml with transcript: <filename>.json.
Next step
Once all videos have audio transcripts, dispatch analyze-video for visual descriptions.
Dependencies
WhisperX must be installed. Use the setup skill to verify.
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Adds visual descriptions to transcripts by extracting and analyzing video frames with ffmpeg. Creates visual transcript with periodic visual descriptions of the video clip. Use when all files have audio transcripts present (transcript) but don't yet have visual transcripts created (visual_transcript).
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