Segmentation Flood — primitive for tickers & hud (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.

Machine-vision read of a slotted subject: translucent accent segmentation masks flood on in quantized scanline steps, each region gets a thin bracket and mono label chip…

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

Slots (what you fill in)

• regions (string) — Regions
• flood_at (number) — Flood at
• flicker (enum) — Flicker
• accent (enum) — Accent
• exit (enum) — Exit

Used in

• News explainer
• Scores & match recap
• Daily market or weather update
• Stream overlay package
• News broadcast package
• Game trailer
• Gameplay highlight & HUD

More tickers & hud

• Camcorder HUD — npx hyperframes add camcorder-hud
• News Ticker — npx hyperframes add news-ticker
• Telemetry HUD — npx hyperframes add telemetry-hud
• Ticker Takeover — npx hyperframes add ticker-takeover