Slit Scan Reveal — primitive for entrances & emphasis (hyperframes)

For AI agents: find the right skill in one call — curl -s "https://skills.varg.ai/api/search?q=<what the person wants>" returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the use-case page.

The frame's rows sample an authored subject at offset times: a canvas painter draws row slices of one pure position function evaluated at t minus offset(row)…

• Install: npx hyperframes add slit-scan-reveal
• Registry: hyperframes · Framework: hyperframes · License: Apache-2.0
• Docs and preview: https://hyperframes.heygen.com/catalog/components/slit-scan-reveal
• Source: https://github.com/heygen-com/hyperframes/tree/main/registry/components/slit-scan-reveal
• Runs: local render, free
• Aspect: any

Slots (what you fill in)

• axis (enum) — Axis
• spread (number) — Spread
• resolve_at (number) — Resolve at
• accent (enum) — Accent
• exit (enum) — Exit

Used in

• Captioned talking clip
• Top-N listicle
• Quiz, poll & would-you-rather
• Meme format
• Countdown & launch timer
• Certificate & achievement recap

More entrances & emphasis

• Badge Pop — npx hyperframes add badge-pop
• Curtain Reveal — npx hyperframes add curtain-reveal
• Echo Smear — npx hyperframes add echo-smear
• Echo Trail — npx hyperframes add echo-trail
• Gloss Sweep — npx hyperframes add gloss-sweep
• Ink Bleed Reveal — npx hyperframes add ink-bleed-reveal