video-content-engine

Provide an authorized video URL or file and the Skill builds a timestamped content-atom inventory, scores each atom, and routes complete atoms to short-form, micro, carousel, or written formats. It recommends a bounded first release wave rather than a fixed quota of derivatives.

Run the Skill in its default diagnose mode, which scores hook, clarity, proof, pacing, and payoff from 0-20 and recommends an editorial mode: Polish, Tighten, Re-architect, or Rebuild. No production occurs until you approve specific modules.

You need Python 3.10 or later, FFmpeg and FFprobe for media rendering and technical QC, and a transcription tool with word- or sentence-level timestamps. The bundled validation scripts use only the Python standard library.

No. Publishing, scheduling, uploading, changing sharing settings, spending quota, or activating campaigns all require explicit approval and an authoritative readback. The Skill defaults to diagnosis and never claims a render or publication without fresh evidence.

Validation fails when clip start or end times do not align with complete-thought boundaries in the exact-source transcript within the 0.12 second tolerance, or when the transcript lacks word or sentence granularity. Memo timestamps are treated as guides, never literal cut points.

The Skill requests an accessible authorized source instead of analyzing from metadata alone. It never substitutes a mirror, alternate upload, or different episode, and it refuses to make editorial recommendations without grounded access to the media or transcript.