Model or dataset
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yanliudesign/mono-color-skill

Monocolor Editorial Print: a Claude Code skill that turns a theme or photo into a one-ink poster

One-ink editorial print image skill — warm paper, halftone photography, active negative space, and restrained typography.

3,103 stars85 forksPythonMIT

At a glance

What is it?
The yanliudesign/mono-color-skill repository packages an editorial print visual system as a single agent skill: two named ink plates, halftone or risograph image treatment, and 25% to 55% visible paper. It is a prompt system, not an image renderer, and the README is honest about that.
Who is it for?
Adopt it if you already run Claude Code and need a repeatable house style for posters, zine covers or packaging mockups, because the skill pins the palette roles, the empty-paper range and the type roles instead of leaving them to chance. Skip it if you want a CLI that renders files on its own; the README describes an agent skill whose output is a generated raster image plus a production prompt and a recipe, and there is no documented command line.
Can I use it commercially?
Yes. MIT is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
Is it still maintained?
Yes. The repository last received commits 13 days ago.
What is it written in?
Mainly Python, according to GitHub's language statistics.

Answers come from the project's GitHub data, last synced on September 16, 2026, and from our analysis. They are not legal advice.

DEEP OPEN-SOURCE ANALYSIS

What mono-color-skill actually is, and who it is for

This is not a rendering library. The repository is a skill package for an AI agent, built around a single SKILL.md file and a design-system directory, with the README describing it as "a one-ink and controlled two-ink editorial image skill for posters, zines, portraits, packaging, and visual field notes." The input is a theme, a phrase, an object, an article idea, or a supplied photograph. The output, per the README table, is a generated raster image, an exact production prompt, and a short recipe.

The audience is narrow and specific: designers and illustrators who already work inside Claude Code and want a constrained house style rather than open-ended image generation. The listed use cases run from event posters and Xiaohongshu covers to sardine-tin packaging and zine interiors. Anyone looking for a Python library to import, or a CLI to run in CI, will not find one here. The Python in the repository sits in scripts and evals, not in a documented runtime API.

Two ink plates, one dominant: the mechanism behind the look

The core decision is that the skill defaults to controlled two-ink with one dominant plate and one narrowly assigned accent plate. The README is explicit that an explicit one-ink or monochrome request stays pure one-ink, so the default is not a single ink at all. That is worth reading twice, because the project name suggests otherwise.

On top of the plates sit four modes (pure one-ink, chromatic plus black, complementary duotone, overprint duotone) and four image treatments (halftone, risograph grain, cyanotype exposure, photocopy breakup). Composition is constrained to 25% to 55% visible empty paper on an asymmetric editorial grid, and typography is assigned by role: literary serif, cultural grotesk, condensed civic, programmatic, rotated, handwritten, or word-as-object. Substrate is chosen from the image and palette, limited to white, cool gray, or pale beige.

The README's own numbered flow is: read the input to identify subject, intent, words and image role; choose the layout (image, specimen, declaration, object field, overprint, journal, or cover); assign the plates; then compose. The stated intent is to preserve a visual system rather than copy a reference, rebuilding each composition around the subject. The twelve reference images are listed separately in REFERENCES.md, with the note that third-party references remain the property of their respective creators.

Installing the skill and generating a first poster

The README does not document an install command, a package manager entry, or a CLI. What it does document is the skill contract: the repository carries a SKILL.md at the top level, and the badges name Claude Code as the host. So the practical install is to place the repository where your agent looks for skills and let it read SKILL.md. The README gives no path for that, and no version pinning instructions beyond the 1.2.0 badge.

The repository layout is the only thing you can verify from the files themselves. The top-level entries are .github/, .gitignore, ASSET-LICENSE.md, CHANGELOG.md, LICENSE, README.md, README.zh.md, REFERENCES.md, SKILL.md, design-system/, evals/, examples/, scripts/, and swatches/.

text
.github/  .gitignore  ASSET-LICENSE.md  CHANGELOG.md  LICENSE
README.md  README.zh.md  REFERENCES.md  SKILL.md
design-system/  evals/  examples/  scripts/  swatches/

Reading SKILL.md is the first real step, because that file is what the agent follows. If it is missing or empty in your checkout, the skill has nothing to act on.

The README badge also points at a validation workflow, .github/workflows/validate.yml, which is the closest thing to a correctness check described in the repository. There is no documented command that renders an image from the terminal.

For a first real use, hand the agent a concrete brief rather than an abstract one. The README's input row accepts a theme, phrase, object, article idea or photograph, and the examples include a cycling poster, a teapot poster and a sardine tin. Expect back three things: the image, the production prompt, and the recipe. The recipe is the part worth keeping, because it records which plates were assigned and how much paper was left empty.

Where the skill stops being the right tool

The most concrete limitation is the missing install and run documentation. There is no homepage, no published release, and no install section in the README. If your workflow needs a reproducible build step, a pinned dependency, or an artifact you can regenerate byte for byte, this repository does not describe how to get there. The output is a generated raster image, which means the result depends on the model doing the generating, not on deterministic code in the repo.

The second limitation is that the skill optimizes for a look, not for print production. The README talks about reducing production costs with a single ink, but the repository contains no press profile, no ink separation output, and no colour-managed export. A recipe that names two plates is a design instruction, not a separations file. Anyone sending this to a commercial printer still has to convert it.

The third is scope. The visual system is deliberately narrow: monochrome and controlled two-ink, editorial grids, halftone and grain treatments. If you need full-colour illustration, photographic realism, or brand-accurate spot colours matched to a Pantone library, the constraints here work against you rather than for you. The README's own framing, that vintage treatment appears only when requested, tells you the defaults are contemporary and restrained, and restraint is the point.

How it differs from prompt packs and from generative image tools

The obvious alternative is a plain prompt pack: a text file of style phrases you paste into an image model. The difference is that a prompt pack describes a look, while this repository encodes decisions. Plate roles, the 25% to 55% empty-paper band, the layout list, and the type roles are stated as system rules in SKILL.md and the design-system directory, so the agent is choosing within a structure rather than improvising adjectives. A prompt pack also has no equivalent of the evals directory or the validation workflow.

The other alternative is a dedicated generative image tool with a style feature. Those tend to optimize for variety and fidelity across many subjects. This skill optimizes for consistency across a series: the same paper, the same plate logic, the same grid. The trade is flexibility. You give up range to get a coherent set of posters that look like they came from one studio. If your project is a single hero image, that trade is not worth making.

Licence, maintenance and what an upgrade costs you

The repository is MIT licensed, and there is a separate ASSET-LICENSE.md at the top level, which matters because the examples and the twelve reference images are not necessarily covered by the same terms. The README states that third-party references remain the property of their respective creators and rights holders, and points to REFERENCES.md for attribution status and a correction link. Read both licence files before reusing any image from the examples directory; MIT on the code does not automatically clear the artwork.

The last push was on 2026-09-02, and the repository is not archived. The version badge reads 1.2.0 and there is a CHANGELOG.md, but no releases were retrieved, so there is no tagged release history to diff against. Upgrading therefore means reading the changelog and re-reading SKILL.md, since the skill file is the contract the agent follows and a change to plate assignment or the empty-paper range will alter every output you produce afterwards. Budget for re-checking existing posters against the new rules rather than assuming they still match.

Editorial conclusion

Adopt it if you already run Claude Code and need a repeatable house style for posters, zine covers or packaging mockups, because the skill pins the palette roles, the empty-paper range and the type roles instead of leaving them to chance. Skip it if you want a CLI that renders files on its own; the README describes an agent skill whose output is a generated raster image plus a production prompt and a recipe, and there is no documented command line. Before trusting it on a real job, open SKILL.md and check how the two plates are assigned, then confirm that your target printer accepts the ink separation the recipe describes, since the repository ships no press profile.

Frequently asked questions

What does mono color mean in mono-color-skill?

In this project the name is slightly misleading: the README says the skill defaults to controlled two-ink with one dominant plate and one narrowly assigned accent plate, and that only explicit one-ink or monochrome requests stay pure one-ink. So mono here describes a restrained ink system, not a guarantee of a single plate.

What is the difference between color and mono in this skill's output?

The README lists four modes: pure one-ink, chromatic plus black, complementary duotone, and overprint duotone. The difference is how many plates are assigned and how the second plate is used, with the accent plate kept narrow rather than spread across the composition.

What are monotone colors in the context of mono-color-skill?

The README frames the palette as an adaptive neutral substrate of white, cool gray or pale beige, plus controlled two-ink by default. The substrate is selected from the image and palette rather than fixed, which is what keeps a series looking consistent while the subject changes.

Which mono-colored commander is the strongest?

The material for mono-color-skill does not cover this. The repository is an editorial print image skill for posters, zines and packaging, and it says nothing about trading card commanders, so there is no answer to give here.

Official sources

  1. Issues
  2. License: MIT
  3. README
  4. yanliudesign/mono-color-skill on GitHub
Community notes

Community notes