Skill Detail

DALL-E Prompt Engineering Kit

Structured prompt generation for OpenAI's DALL-E 3 API (images/generations endpoint) with style modifiers, aspect ratio control, and batch variation generation. Includes negative prompt patterns and quality presets.

Image & Creative AutomationChatGPT Agents
Image & Creative Automation ChatGPT Agents Security Reviewed
Tool match: openai โญ 10.8k GitHub stars โฌ‡ 18.1M/wk npm Apache-2.0 license
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill dall-e-prompt-engineering-kit Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Last updated
Mar 24, 2026
Quick brief

The DALL-E Prompt Engineering Kit provides systematic prompt construction for OpenAI’s image generation API. It interfaces with the /v1/images/generations endpoint using structured prompt templates that combine subject descriptions, style modifiers (photorealistic, digital art, watercolor, isometric), lighting directives, and composition guidelines.

How it works

What this skill actually does

The skill manages DALL-E 3 specific parameters including quality presets (standard vs hd), size options (1024×1024, 1792×1024, 1024×1792), and the revised_prompt response field for understanding how prompts are interpreted. It implements prompt chaining for iterative refinement, where generation results inform subsequent prompt adjustments.

Advanced features include negative prompt patterns (specifying what to exclude), style consistency tokens for maintaining visual coherence across series, batch variation generation using seed manipulation, and A/B prompt testing with visual similarity scoring. The kit includes prompt libraries for common use cases (product photography, character design, architectural visualization, icon generation) and integrates with the Images Edit endpoint for inpainting and outpainting workflows. Cost tracking per generation and rate limit management with queuing are built in.