Previews from the publisher
Walk viewers through selected figures on a stable dashboard image. Slightly asymmetric loops mark the chosen metrics in order, then a large drawn check and status label close the explanation without moving the data. This eight-second scene presents review marks you specify; it does not audit calculations, authenticate analytics or determine whether the figures are correct.
Decide what was checked before drawing an approval mark. A polished loop-and-check sequence can look like an audit, so keep the status proportionate to an actual review performed outside the animation.
/creatormotion-spotlight-metric-audit Turn my supplied explanation into a white-yellow B-roll scene using the Metric Audit Marks effect. Use the text, data and media I provide, and ask for any required input that is missing.Choose dashboard and a compact targets array, then write a status that accurately describes your review. The default four target centers are illustrative screenshot alignments, not detected metric locations. The word Verified is supplied example copy, not a test result.
Place each target on the actual figure using normalized panel coordinates and radius scaled to panel width. Recalibrate after any screenshot change, including aspect ratio or internal padding. The image uses contain fitting, so panel coordinates may not coincide with image content if margins appear.
Reuse the bundled dashboard or replace its slot through --images MAP.json, with paths relative to the map. Despite older optional-screenshot wording, requiredImage makes an actual raster mandatory here. No presenter or matte is used; do not substitute the unused fallback mock dashboard for required material.
From the extracted package, prepare Node.js 22+, FFmpeg and HyperFrames CLI 0.8.30. Run node scripts/create.mjs --out PROJECT --data CONTENT.json --style white-yellow, substituting another documented palette if wanted. Read the motion specification and image policy before adapting the scene; use semantic --overrides for deliberate style changes.
Inspect the editable project at entry, each motion handoff and final hold, then render with the command printed by the generator. Check the resulting frames for text collisions, correct numbers and readable contrast. Keep at least 1.2 seconds for the final reading when editing, and compare all four palettes with identical content after structural changes. Narration, music and assembly into a longer film remain separate work. Inspect every loop and the final check against the image in actual MP4 frames. Added targets can overlap the fixed 4.80-second approval cue; revise timing if the review needs more marks. Preserve at least 1.2 seconds of final reading and check dark-palette annotation contrast as well as image readability.
Yes. dashboard, target coordinates and status are JSON inputs, with four palettes and semantic overrides. Check the evidence is a fixed scene heading, and annotation styling includes fixed dark strokes that need visual review on replacement images.
No presenter footage is needed. A dashboard raster is required, with a bundled default available. Replace it when explaining actual metrics; the example imagery is not verified analytics.
Yes. Preserve sequential loops followed by the drawn check and status. Re-render after changing target count or placement and keep the underlying data stable.
No. It displays marks and status you supply. The effect does not read values, calculate totals or authenticate the data source.
No. You must recalibrate targets manually to the visible figures and inspect the fitted image. There is no OCR or automatic metric detection.
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+7Use this Skill to create broll animation.
+7Use this Skill to create broll animation.
+7Use this Skill to create broll animation.
+7Use this Skill to create broll animation.
+7Use this Skill to create broll animation.