What problem does it solve?
Manually grading video program specs for quality is subjective and inconsistent, leading to generic, low-impact Connect video content that fails to resonate with viewers and doesn't accurately reflect the source program.
Core Features & Use Cases
- 6-Dimension Quality Grading: Evaluates video program specs across narration voice, stat selection, beat coherence, source fidelity, tagline mirror, and story compression, with 0-10 scores, concrete strengths/weaknesses, and one-line improvement recommendations per dimension.
- Prompt-Independent Evaluation: Derives all quality anchors from the template bundle (intent + example spec) and source page, with no reliance on external prompt files for consistent, unbiased grading.
- Structured Verdict Output: Emits a standardized YAML verdict with an overall pass/revise/fail status, dimension scores, and a summary of the highest-impact edits to make specs production-ready.
- Use Case: After generating a video spec with /ace:video-spec-generate or /ace:video-from-program-page, run this eval to get an objective quality assessment and specific edits to improve the spec before rendering the final video.
Quick Start
Use the video-spec-eval skill to grade the spec for your Connect video program and receive a structured quality verdict with actionable improvement recommendations.