Skills

Proof Videos

Annotate PR screenshots and videos with arrows, guides, captions and zoom.

Install

npx skills add openclaw/openclaw --skill proof-video -g -a claude-code -y
Repository
openclaw/openclaw394k
Category
Media
Updated
3d ago
License
MIT
Context cost
Mediumabout 2,636 tokens
Runs scripts
No, instructions only

What it does

Capture and annotate PR screenshots and videos with measured arrows, outlines, alignment guides, spacing brackets, captions, zoom, and speed cues.

Proof video

Use this developer skill for captioned Control UI recordings and native captures. Captions are burned into an MP4; they are visual narration, not synthesized audio. Keep the raw video as evidence, attach the polished MP4, and never commit media or .artifacts/ output. Inspect the entire capture for unrelated or private content before publishing under the PR's existing authorization.

Point out the claim

Choose marks that demonstrate the change. Use arrows to locate a control, outlines to identify a region, alignment guides to compare edges or centers, and spacing brackets to measure gaps. Measurements come from locator.boundingBox() after the asserted layout settles; the renderer calculates the labels. Keep the reference element first and use the same viewport, crop, scale, and edge before and after. Keep marks sparse and labels in empty space. Preserve the raw capture.

For screenshot markup or timed video marks, read annotations. Both paths use the same SVG geometry renderer. Annotations are composited before zoom, while narration stays fixed in the viewport. Re-measure and replace marks after scrolling or layout changes; a cue describes a stationary capture, not a live element tracker. Clear marks during movement when they would become stale.

Standalone recording

From the repository root, save this script as .artifacts/proof-video/record.mts (create the parent directory first), then run node --import tsx .artifacts/proof-video/record.mts. It starts an isolated mocked Control UI, records five captions, a real toolbar zoom, fast-forwarded startup, and an eight-second pause at 4× speed. Every invocation allocates a fresh evidence directory.

Read the whole SKILL.md on GitHub

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