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End-to-end workflow for turning a local video into transcripts, burned subtitles, and scheduled multi-network posts via PostFlow CLI. Use when given a video path and publication date/time to transcribe, create copy for LinkedIn/X/IG/YouTube, upload the subtitled MP4, and schedule the content with `postflow`.
This skill automates the complete "video → subtitles → PostFlow" pipeline: run Whisper-based transcription, burn subtitles with the bundled Python script, turn the transcript into a multi-platform copy block, and schedule social posts through the PostFlow CLI.
PATH – absolute path to the source video (MOV/MP4/etc.).DATETIME – publication date/time (accepts natural language like "tomorrow 09:00"). Use date to confirm the current timestamp if needed.postflow CLI (postflow media upload, postflow posts create) and refer to postflow-cli for command details.scripts/transcribe_burn.py wraps Whisper, ffmpeg, and auto-gain. Requires Python 3.8+, ffmpeg, and openai-whisper installed for the user; no extra configuration is needed inside this skill.date command does not provide the offset.npx skills add antoniolg/agent-kit --skill short-publishHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Clear and well structured, with only minor parts that might need a second read.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Mostly actionable with clear steps; only a few small gaps remain.