What problem does it solve? Turning one long video, podcast, webinar, or recording into a coherent set of clips, carousels, and written assets usually involves guesswork about which moments to cut, which formats to produce, and whether edits break complete thoughts. This Skill replaces quota-driven repurposing with a source-grounded diagnosis that scores the source, inventories content atoms, and recommends only the formats the material can actually support. ## Core Features & Use Cases - Source Diagnosis and Opportunity Routing: Scores hook, clarity, proof, pacing, and payoff, then routes timestamped content atoms to long-form, mid-form, short-form, micro, carousel, or written formats with Produce/Repair/Defer/Reject verdicts. - Edit Boundary and Join Validation: The bundled audit_edit_boundaries.py script verifies that retained clips begin and end on complete thoughts against a word- or sentence-level transcript, and the workflow requires post-render semantic join review. - Versioned Delivery Contract: Packages every asset with captions, SRT, hook overlays, and packaging metadata into a manifest validated by validate_delivery.py with SHA-256 hash checks. - Use Case: A marketer uploads an authorized webinar recording and asks for a diagnosis; the Skill returns a source score, recommended editorial mode, a bounded first release wave of Shorts and a mid-form explainer, and only produces the modules the user approves. ## Quick Start Use the leveling-up-content-engine skill to diagnose this authorized video at the provided URL and recommend the highest-leverage first release wave before producing anything.
