direct-image-creation

Converts creative requests into structured AI image briefs, prompts, and generation workflows.

154|27|Updated Aug 3, 2026
One-click install
npx skills add https://github.com/openvetta/open-vetta --skill direct-image-creation-openvetta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: direct-image-creation
Source: https://github.com/openvetta/open-vetta/tree/main/packages/plugins/presets/content-creation/agent/skills/direct-image-creation
Command: npx skills add https://github.com/openvetta/open-vetta --skill direct-image-creation-openvetta

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Turning a vague visual idea into a production-ready AI image requires choosing the right model, writing structured prompts, managing references, and reviewing output quality. This Skill systematizes that entire process so generated images meet concrete acceptance criteria instead of relying on trial and error. ## Core Features & Use Cases - Structured Brief and Prompt Authoring: Builds image briefs with purpose, audience, composition, lighting, palette, and constraints, then maps them to model-specific prompt profiles (sectioned, natural-language, or generic). - Scenario-Based Production Recipes: Provides dedicated workflows for logos and brand kits, ecommerce listing sets, product hero shots, fashion try-on, portrait packs, UI mockups, storyboards, infographics, floor plans, and social thumbnails. - Editing and Continuity Control: Defines edit contracts (Change/Preserve/Constraints), reference role assignment, and identity or product continuity ledgers for multi-asset series. - Use Case: A marketer needs an Amazon listing set. The Skill establishes a product authority image, then generates a main image, lifestyle proof, feature graphic, and detail shot in listing order, each checked against a quality gate. ## Quick Start Use $direct-image-creation to turn my product photo and campaign idea into a complete image generation workflow with prompts and review criteria.

Frequently Asked Questions about direct-image-creation

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

FAQPage Schema
How do I write better prompts for AI image generation?▼

Build prompts in decision order: artifact and purpose, subject, composition, environment, light and color, medium, then constraints. Use concrete observable language instead of vague adjectives, and match the prompt structure to the model's profile, such as sectioned constraints or natural prose.

How do I keep a character or product consistent across multiple AI images?▼

Create a continuity ledger recording identity, wardrobe, product geometry, and scene invariants, then approve one neutral anchor image before branching. Reuse approved outputs as references and change only one axis, such as pose or camera, per iteration.

How do I choose the right AI image model for a task?▼

Inspect available capabilities first, then match hard constraints: output kind, edit or generation mode, reference slot count, aspect ratio, resolution, and text support. Route by stage, using fast modes for exploration and high-quality modes only after direction approval.

Can AI image models render exact text in posters or infographics?▼

Yes, when using a text-capable mode with exact quoted copy, defined hierarchy, placement, and a no-extra-text constraint. Every character must be inspected after rendering, and dense copy should be typeset outside the image when downstream layout tools are available.

What are the limitations of AI-generated floor plans and UI mockups?▼

Generated floor plans and renders are design concepts, not construction documents or code-compliance evidence. UI mockups are visual concepts rather than implementation, so accepted structures must be handed to a code or design workflow for real responsive behavior.