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image-prompting

Convert vague image requests into structured five-section prompts for image generation models.

473|52|Updated Jan 12, 2026
Search Tags:#visual-design#ai-art#image-prompting#poster-design#prompt-framework#marketing-assets#gpt-image-2
One-click install
npx skills add https://github.com/BlockRunAI/blockrun-mcp --skill image-prompting
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: image-prompting
Source: https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/image-prompting
Command: npx skills add https://github.com/BlockRunAI/blockrun-mcp --skill image-prompting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill standardizes the process of translating ambiguous image requests into precise, copy-rich prompts that produce consistent, legible visuals across image generators like GPT Image 2, DALL-E 3, and Flux. It focuses on a repeatable 5-section framework that guides users from concept to concrete prompt structure, reducing miscommunication and prompt slop.

Core Features & Use Cases

  • 5-Section Prompt Framework: SCENE, SUBJECT, DETAILS, USE CASE, CONSTRAINTS to ensure comprehensive prompts.
  • Typography & Visual Clarity Focus: guidance to structure prompts that maximize legibility and layout accuracy, especially for posters and marketing assets.
  • Modeled Workflows: workflows for poster design, UI mockups, product shots, and concept exploration with consistent prompt quality.
  • Prompt Quality Rules: explicit role labeling (e.g., HERO, SUB, BANNER) and exact-text constraints to minimize model drift.
  • Worked Examples & Templates: practical templates that translate vague asks into production-ready prompts suitable for multiple image generators.

Quick Start

Provide a ready-to-use five-section prompt following the framework to generate a poster or marketing asset.

Frequently Asked Questions about image-prompting

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

FAQPage Schema
How do I write image prompts that produce legible typography and accurate poster layouts?▼

To write image prompts for legible typography and accurate poster layouts, use a five-section framework (SCENE, SUBJECT, DETAILS, USE CASE, CONSTRAINTS) with explicit role labeling like HERO and BANNER to minimize model drift.

What is the best way to structure prompts for marketing assets in AI image generators?▼

The best way to structure prompts for marketing assets is applying a copy-rich five-section framework that defines the scene, subject, details, use case, and constraints, ensuring consistent results across image generators.

Can I use the same prompt structure for UI mockups and product shots?▼

Yes, you can use the same prompt structure for UI mockups and product shots because the five-section framework provides modeled workflows that adapt layout and typography constraints for various visual design needs.

Why does my AI image generator produce garbled text and inconsistent layouts?▼

AI image generators produce garbled text and inconsistent layouts due to prompt slop and vague requests, which you can fix by applying exact-text constraints and clear role-based text labels in your prompts.

Do I need a specific image model to use structured prompt frameworks?▼

No, you do not need a specific image model to use structured prompt frameworks. The five-section prompt structure works across multiple image generators like GPT Image 2, DALL-E 3, and Flux.

How to convert vague visual concepts into production-ready image prompts?▼

To convert vague visual concepts into production-ready image prompts, apply the five-section framework using SCENE, SUBJECT, DETAILS, USE CASE, and CONSTRAINTS to translate ambiguous requests into precise visual instructions.

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