yanliudesign/mono-color-skill

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

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 21st, 2026
Created on August 19th, 2026
Open Issues & Pull Requests: 6 (+0)
GitHub issues: Enabled
Number of forks: 92
Total Stargazers: 3,264 (+0)
Total Subscribers: 2 (+0)

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 21 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Mono-color-skill is an AI agent skill that generates editorial print images using a constrained one-ink aesthetic. The tool addresses the challenge of creating visually cohesive printed materials by applying a specific design philosophy: it combines halftone photography techniques, warm paper tones, active negative space, and minimal typography to produce images suitable for editorial, poster, and zine applications. The approach works by encoding these design constraints into prompts and generation parameters, allowing an AI agent to consistently produce work within this narrow stylistic band rather than generating unconstrained images.

Developers working on editorial design projects, zine production, or generative art systems that need visual consistency should consider this tool. It suits projects where a distinctive one-ink aesthetic is a requirement rather than an option, and where the warm, halftone-based visual language aligns with the intended output. The tool is designed as a Claude agent skill, making it most relevant for workflows already built around Claude-based agents.

The project shows active development with regular commits and engagement on implementation details. The codebase demonstrates iterative refinement of prompt engineering and generation parameters to achieve the target aesthetic. The maintainer appears focused on practical application of the skill within agent workflows rather than broad generalization, as evidenced by the specific design constraints embedded in the tool's purpose.