imagegen

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

Updated Aug 28, 2026
One-click install
npx skills add https://github.com/AnderHonorato/Mem-rias-IA---Infinity --skill imagegen-anderhonorato
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imagegen
Source: https://github.com/AnderHonorato/Mem-rias-IA---Infinity/tree/main/Manus/Skills/imagegen
Command: npx skills add https://github.com/AnderHonorato/Mem-rias-IA---Infinity --skill imagegen-anderhonorato

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Visual requests are ambiguous: a "diagram" might need Mermaid, a chart needs precise Python plotting, and a poster needs AI image generation. This Skill removes the guesswork by classifying each request and routing it to the correct production workflow so the output actually fits the user's medium and purpose. ## Core Features & Use Cases - Authoritative Routing: Maps user intent to the right route—Mermaid for structured diagrams, Python plotting for numeric charts, code for functional prototypes, and AI generation/editing for visual assets. - Scenario Classification: Assigns scenarios like website hero, product image, UI mockup, logo, game asset, transparent cutout, or image upscale, each with specific guardrails and success criteria. - Prompt Recipes & Validation: Provides ready prompt structures for each scenario plus a lightweight pass/fail checklist that prevents over-iteration. - Use Case: A user asks to "upscale this photo"—the Skill routes to the image variation tool with the exact restore prompt, preserving all original content while enhancing resolution. ## Quick Start Ask the assistant to create a poster, upscale an image, or draw a flowchart, and it will pick the correct route and deliver the final artifact.

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 when node-edge relationships, sequences, hierarchies, or machine-readable structure must be accurate, such as flowcharts, ER diagrams, or architecture diagrams. Use AI image generation only for conceptual explanatory visuals where polish matters more than exact graph syntax.

How do I upscale or restore an image without changing its content?

Use the image variation tool with the exact prompt: "Restore and upscale this image to high resolution while preserving every detail exactly as in the original." Do not add extra instructions or rephrase it, since the goal is strict preservation with enhanced resolution.

Should I generate a UI mockup as an image or build HTML/CSS?

Default to direct AI image generation when the deliverable is an image of a UI. Build HTML/CSS/React only when the user explicitly asks for source code, editable front-end files, interactivity, deployment, or a working prototype.

Can AI image generation render Chinese or multilingual text in posters?

Yes. Generate the complete final image with text rendered directly by the image model, treating Chinese and other writing systems as first-class targets. Never generate a blank background and overlay text with Python, PIL, HTML, or scripts as a workaround.

When should Python plotting be used instead of AI image generation for charts?

Use Python plotting whenever numeric data, axes, scales, or measured comparisons are involved, since AI generation cannot preserve accurate numeric mapping. AI generation is acceptable only for optional decorative assets, never for the quantitative plot itself.

What are the limits of precise image editing?

Edits should change only the target region while preserving identity, pose, product shape, background, lighting, and color palette. If one or two targeted attempts fail a critical requirement, deliver the best result with a limitation note rather than iterating indefinitely.