# Halftone Collage B-roll — style skill for art styles

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Editorial halftone paper-collage B-roll from one line of script, with three approval gates before any video spend.

- **Type:** [Style](https://skills.varg.ai/styles.md) · [Art styles](https://skills.varg.ai/browse/skills/art-direction.md)
- **Slug:** `gbro-collage-broll`
- **Status:** beta
- **Publisher:** pyang5166 (community)
- **License:** MIT
- **Source:** https://github.com/pyang5166/gbro-collage-broll
- **Works in:** Codex
- **Requires:** Codex (gate 2 uses its built-in image_gen), Python 3.10+ with google-genai, Gemini API key (GEMINI_API_KEY), ffmpeg and ffprobe
- **Cost:** Uses your own Gemini API key; stills come from Codex's image tool
- **Adoption:** 185 installs, 1,528 GitHub stars (GitHub + skills.sh, 2026-10-26)

## What it does

Turns about five seconds of voice-over, an opinion line or an abstract idea into premium editorial halftone paper-collage B-roll. It enforces three approval gates: first only the visual metaphor, then a colored collage still made with Codex's built-in image tool, and only after the still is approved does it animate first and last frames with Gemini Omni Flash (gemini-omni-flash-preview by default, not Veo) and deliver a silent clip with a contact sheet for QA. Single-commit repo from July 2026 with 1.5K stars, so it stays in beta.

## Use when

- Make collage-style B-roll to cut into a talking-head video
- Visualize one sentence or concept as a paper-collage metaphor

## Not for

- Clips with sound (they are delivered silent)
- Agents without a built-in image tool (gate 2 relies on Codex image_gen)

## Install

- Codex: `git clone https://github.com/pyang5166/gbro-collage-broll.git ~/.agents/skills/gbro-collage-broll`

**Models it drives:** omni_flash

## Example output

https://skills.varg.ai/previews/gbro-collage-broll.mp4 — README demo (deep purple): halftone paper-collage B-roll that assembles from an empty field, a crew feeding photos into a press that prints a sci-fi film strip. Full 5 s 9:16 clip from a small GIF. (credit: pyang5166 (gbro-collage-broll), https://github.com/pyang5166/gbro-collage-broll#readme)

## Used for

- [Faceless YouTube / TikTok video](https://skills.varg.ai/use-cases/faceless-video.md): A narrated short or long video with no presenter: script, voiceover, visuals, captions, music.
- [B-roll for your video](https://skills.varg.ai/use-cases/b-roll.md): Cutaway footage for every mention in a voiceover or interview: generated clips, collage or stock-style shots, cut in on time.

## More art styles skills

- [fal Game Dev](https://skills.varg.ai/skills/fal-gamedev.md): Generate 2D pixel-art game assets: characters, sprite sheets, walk and attack cycles, parallax backgrounds.
- [Algorithmic Art](https://skills.varg.ai/skills/anthropic-algorithmic-art.md): Create original generative art in p5.js: write an algorithmic philosophy, then code it with seeded randomness.
- [Canvas Design](https://skills.varg.ai/skills/anthropic-canvas-design.md): Design posters and visual art as PNG or PDF from a written design philosophy, with 54 bundled fonts.
- [Lemo-Opuscar Film Styles](https://skills.varg.ai/skills/lemo-opuscar.md): 59 film styles made entirely in code (oil paint, watercolor, ukiyo-e, satellite briefing, exploded teardown).
- [Generative Art (Camille Roux)](https://skills.varg.ai/skills/genart-skill.md): Long-form generative art craft from Camille Roux: hash-seeded determinism, traits and rarity, verification, export.

## Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.

- Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` (skill + hosted MCP)
- Codex, Cursor, Gemini CLI, OpenClaw: `npx skills add vargHQ/skills --skill varg-ai -a <agent> -y`
- Claude.ai, ChatGPT, any MCP client: connect `https://mcp.varg.ai/mcp`
- API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt
