Metric to Interface Detail
A large circular figure temporarily overlays a moving interface. Once the camera reaches the evidence, the figure clears and precise frames identify the supporting details in place.
A large circular figure temporarily overlays a moving interface. Once the camera reaches the evidence, the figure clears and precise frames identify the supporting details in place.
A wide interface panel appears and the camera begins one smooth move toward a chosen area. Partway through, a compact card with a ring gauge floats over the interface while the ring and the percentage count up together. The card clears before the camera settles, then sharp-cornered frames draw one after another around the specific values that support the figure, and the enlarged evidence holds. Use it when a headline percentage should be traced back to where it comes from, such as a completion rate in a dashboard or a review status in a content library. The figure is a percentage from 0 to 100, so absolute amounts and counts do not fit the gauge. The interface is a raster image: a bundled generated content library by default, or your own screenshot laid out on a 1600x780 panel. You position the camera target and the detail frames with normalized rectangles in the content JSON. Output is an editable HyperFrames project and a 10-second, 1920x1080, 30 fps MP4.
ipfs://bafkreicfi2rnso5vkyc3kk3fvnoj7tqhj5vbwsgxd7u2oy7n2bmibwnxey
v1 · Initial release on Finch.
The primary-document hash is the SHA-256 of the plaintext primary Markdown file. The content-commitment hash covers the verified SkillRoot structure, or plaintext ZIP for older Skills; it is not the hash of the downloaded file.
Opaque identifiers and fingerprints are hidden from the primary experience but remain available for exact verification.
0x3d851642b7575242cbf34176dc520243a992415b71fa06e663b0d967100b9c840x8eb61c3fc75dc58a57033225ae7649a10973e548aa3fc4d0e35140c649aad24d