imagegen

Route visual deliverable requests to Mermaid, Python plotting, code, or AI image generation workflows.

Updated Sep 16, 2026
One-click install
npx skills add https://github.com/Military-Veteran-Team-LPT-Realty/mvt-manus-public-skills --skill imagegen-military-veteran-team-lpt-realty
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imagegen
Source: https://github.com/Military-Veteran-Team-LPT-Realty/mvt-manus-public-skills/tree/main/skills/imagegen
Command: npx skills add https://github.com/Military-Veteran-Team-LPT-Realty/mvt-manus-public-skills --skill imagegen-military-veteran-team-lpt-realty

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Choosing the wrong production route for a visual request wastes effort and produces unusable results, such as AI-generated art for a precise data chart or a code project when only a mockup image was needed. This Skill classifies each visual request and routes it to the correct workflow before any generation begins. ## Core Features & Use Cases - Authoritative Routing: Maps user intent to the right route, including Mermaid for structured diagrams, Python plotting for numeric charts, code for functional prototypes, and AI image generation or editing for final visual assets. - Scenario Classification: Assigns scenarios such as website hero, product image, UI mockup, logo, game asset, transparent cutout, precise edit, or upscale/restore, each with its own success criteria and guardrails. - Prompt Recipes and Quality Gates: Provides ready prompt structures in references/prompt-recipes.md and a lightweight pass/fail checklist in references/quality-checklist.md to validate deliverables without over-iterating. - Use Case: A user asks for a Chinese-language promotional poster with exact pricing text. The Skill routes it to direct AI image generation with organized copy blocks, explicitly avoiding the forbidden background-plus-scripted-text-overlay workflow. ## Quick Start Use the imagegen skill to create a wide website hero image for a SaaS landing page with clean negative space on the left for headline text.

Frequently Asked Questions about imagegen

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose between Mermaid and AI image generation for a diagram?

Use Mermaid or deterministic rendering when node-edge relationships, sequences, hierarchies, or machine-readable structure must be accurate. Use AI image generation only for conceptual explanatory visuals where visual polish matters more than exact graph syntax.

How do I generate a poster with Chinese or multilingual text?

Generate the complete final image directly with the image generation model rendering all text, organizing copy into title, sections, and labels first. Never generate a blank background and overlay text with Python, HTML, SVG, or PIL, regardless of language or text density.

Should a UI mockup request be built with HTML and CSS?

No, UI image requests default to direct AI image generation as visual mockups. Build HTML, CSS, or React only when the user explicitly asks for source code, a working prototype, interactivity, or deployment.

Can AI image generation be used for data charts?

No, numeric data, axes, scales, and statistical charts must use Python plotting or another deterministic visualization workflow to preserve numeric mapping and proportions. AI generation is allowed only for optional decorative assets, never the chart itself.

How do I upscale or restore an existing image without changing it?

Use the image variation tool with the exact upscale/restore prompt from references/prompt-recipes.md without adding or rephrasing any instructions. The goal is higher resolution while strictly preserving original content, style, and identity.

What are the limitations of AI image editing for precise changes?

Image editing changes only the target region while preserving identity, lighting, and non-target areas, but it is not suited for pixel-perfect typography or legally exact fine print. Use deterministic layout workflows only when the user explicitly requires editable source or exact production files.