Direct Image Creation

Organization

openvetta

direct-image-creation

Turn a creative request into a production-ready AI image brief, reference plan, node workflow, and model-profile prompt. Use for text-to-image, surgical editing, exact text or infographics, image analysis and style transfer, logos and brand kits, ads and publishing assets, ecommerce listing sets, product/food/fashion/portrait imagery, virtual try-on and identity-preserving effects, interiors and floor plans, UI mockups, character sheets, presentation visuals, social covers and thumbnails, multi-panel grids, storyboards, visual variants, composition changes, or improving an image-generation node.

Overview

Publisher	openvetta
Repository	`open-vetta`
Skill name	`direct-image-creation`
Stars	299
Forks	51
Bundled files	21
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
21 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by openvetta on GitHub. Read the source before you install it.

Installation

Install the Direct Image Creation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/openvetta/open-vetta/tree/main/packages/plugins/presets/content-creation/agent/skills/direct-image-creation
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/openvetta/open-vetta/tree/main/packages/plugins/presets/content-creation/agent/skills/direct-image-creation

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/openvetta/open-vetta.git /tmp/open-vetta
mkdir -p .claude/skills
cp -r /tmp/open-vetta/packages/plugins/presets/content-creation/agent/skills/direct-image-creation .claude/skills/direct-image-creation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Direct Image Creation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Direct Image Creation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Direct Image Creation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Direct AI image creation

Use $operate-content-workflow for inspection and mutations. Capabilities are the source of truth for executable models and modes.

Route the task

Inspect project state, references, and image capabilities.
If no concrete visual concept exists, invoke $develop-creative-concept before authoring prompts.
Classify the request as new generation, edit, variation, composition transfer, character/product continuity, or multi-asset set.
Define the brief and acceptance criteria before creating nodes.
Generate a small candidate set when direction is uncertain; select before producing expensive derivatives.
Review the actual output with $review-content-quality and repair the smallest failing dimension.

Read only the references needed:

Any prompt: read references/model-prompt-profiles.md, then references/prompt-framework.md
Ready-to-fill prompt structures: references/production-prompt-skeletons.md
Editing or reference continuity: references/editing-and-continuity.md
Model/mode choice: references/model-routing.md
Exact text, infographic, diagram, or localization: references/text-and-information-design.md
Recreate, analyze, or transfer an attached visual: references/visual-decomposition.md
Sketch, wireframe, floor plan, or 2D/3D translation: references/structural-and-dimensional-control.md
Grid, collage, contact sheet, comic, or storyboard sheet: references/multi-panel-and-sequential.md
Slide visual: references/presentation-visuals.md
Product, character, storyboard, or social patterns: references/task-patterns.md
Commerce, product, food, or beverage: references/commerce-and-food-patterns.md
Fashion, portrait, or character design: references/fashion-portrait-and-character-patterns.md
Poster, illustration, UI mockup, or social asset: references/poster-ui-and-social-patterns.md
Need to choose a specialized production recipe: references/scenario-routing.md
Logo, brand system, advertising, brochure, blog, social cover, or thumbnail: references/brand-and-publishing-recipes.md
Ecommerce listing, product angle set, spatial design, floor plan, or interior visualization: references/commerce-product-and-spatial-recipes.md
Identity-preserving portrait pack, virtual try-on, color board, collectible, collage, or selfie effect: references/identity-fashion-and-social-effect-recipes.md
UI redesign, URL-to-design, dense information board, text object, or storyboard layout: references/interface-storyboard-and-layout-recipes.md
Output review: references/quality-checklist.md

Brief requirements

Record purpose, audience, publishing surface, aspect ratio, subject, action/pose, environment, composition, lighting, palette, medium, references and their roles, immutable details, exclusions, deliverables, and acceptance criteria. Distinguish hard constraints from preferences.

Prefer an explicit visual decision over a pile of adjectives. Make each variation change one named axis such as composition, palette, lens, pose, or rendering medium.

This method is an original Vetta adaptation informed by Generative-Media-Skills (MIT), visual-skills by Serge Shima (CC BY 4.0, https://github.com/smixs/visual-skills), and ViMax (MIT).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Direct Image Creation AI skill do?

Why use Direct Image Creation on TypingMind?

Because you install it once and use it with any model. Direct Image Creation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Direct Image Creation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openvetta/open-vetta/tree/main/packages/plugins/presets/content-creation/agent/skills/direct-image-creation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Direct Image Creation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Direct Image Creation?

As many as you like. As long as a model supports skills, you can use Direct Image Creation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Direct Image Creation AI skill free?

Yes. It is published on GitHub by openvetta under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Direct AI image creation

Route the task

Brief requirements

Bundled files

Frequently asked questions

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