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Build a two-dimensional decision map, then frame the region you want to discuss. Axes appear before labeled points enter at their supplied coordinates; a dashed rectangle and caption arrive later without moving the points. This nine-second effect presents a chosen focus region, rather than calculating the best decision or classifying the points automatically.
Define the axes before placing a point. A precise-looking map can lend authority to subjective scores, so distinguish measured coordinates from illustrative judgements and explain why the framed region matters.
/creatormotion-comparison-quadrant-focus Turn my supplied explanation into a white-yellow B-roll scene using the Quadrant Focus effect. Use the text, data and media I provide, and ask for any required input that is missing.Prepare two axes labels and labeled points with x/y in the documented -1 to 1 range. Define what each dimension and its positive direction mean; the default Effort/Potential example is illustrative.
Choose focusRegion and focusLabel deliberately. Verify that the rectangle encloses the intended points; it does not filter them or automatically alter their styles. Point colors alternate by input index, so explain membership through the boundary rather than treating accent color as a selected/not-selected code.
Read the motion specification and keep the point set compact. Points reveal at fixed 0.55-second spacing before a fixed boundary cue, so a larger set may still be arriving when the region appears. No presenter, alpha matte or raster image is used.
Prepare Node.js 22+, FFmpeg and the documented HyperFrames CLI 0.8.30. Run node scripts/create.mjs --out PROJECT --data CONTENT.json with your chosen --style from the extracted package, adding semantic --overrides if needed. Read the motion specification and image policy before adapting materials.
Lint, validate and inspect the generated HyperFrames project, then render at 1920×1080 and 30 fps using the pinned CLI. Review actual MP4 frames at entry, each change and final hold for bounds, contrast and correct labels. Preserve at least 1.2 seconds of final reading time when editing and check all palettes with identical content after module changes. Narration, music and film assembly remain separate work. Inspect label collisions, axis clarity, rectangle bounds and the final caption. The horizontal and vertical pixel scales differ, so use the map to explain independent dimensions rather than reading Euclidean distance as an extra metric.
Yes. axes, point labels/coordinates, focusRegion and focusLabel are supplied in JSON, with palettes and semantic overrides. Color alternation is positional rather than a data-category input.
No. This scene uses editable SVG axes, points, labels and boundary geometry. Generic image/presenter instructions do not add media or matte requirements here.
Yes. Preserve axes first, point placement in data order and the later region reveal. Do not move the points to make the focus appear more convincing.
No. You supply both coordinates and rectangle. The effect presents your decision model without evaluating the options or making recommendations.
No. The boundary is independent of point styling. Check membership yourself and adapt styling deliberately if your explanation needs a separate selected-point treatment.
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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.