Monocolor Editorial Print — style skill for style references

For AI agents: find the right skill in one call — curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>" returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the how-to page. From a terminal: curl -fsSL https://varg.ai/install | sh installs the vargai CLI (https://varg.ai/how-to/cli.md): vargai search and vargai install <slug> with no key, every varg model after vargai login.

Turns a theme, object or photo into an original one-ink or controlled two-ink editorial print: posters, zines, packaging, portraits, halftone on warm paper.

What it does

Defaults to two-ink (one dominant plate, one narrow accent plate); explicit one-ink requests honoured. Rebuilds each composition around subject, intent and words rather than copying a reference; documented twelve-image research set with attribution notes.

Use when

Not for

Install

Models it drives: gpt_image_2_5, nano_banana_2_1

Example output

https://raw.githubusercontent.com/yanliudesign/mono-color-skill/main/examples/example-cycling.png — A two-ink print made with the skill (README example) (credit: Yan Liu (README), https://github.com/yanliudesign/mono-color-skill)

More style references skills

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.