art-director

Translate ambiguous creative requests into structured prompts for art-directed AI visuals.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ThepExcel/agent-skills --skill art-director
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: art-director
Source: https://github.com/ThepExcel/agent-skills/tree/main/art-director
Command: npx skills add https://github.com/ThepExcel/agent-skills --skill art-director

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users translate vague creative requests into precise, production-ready AI prompts that ensure strong composition, lighting, color grading, and storytelling across image and video generators.

Core Features & Use Cases

  • Composition-driven prompts: specify framing, rule of thirds, leading lines, and depth to guide the AI.
  • Lighting and color guidance: include motivated lighting (Rembrandt, window light) and color theory to set mood.
  • Story-first prompts: embed narrative context to elevate visuals from generic to cinematic.
  • Model interoperability: works with mainline image/video models (e.g., Nano Banana Pro, Qwen Image, Wan 2.2, Sora2).
  • Style library integration: reuse and mix established profiles for consistent results across sets.

Quick Start

  1. State your goal in a short sentence (e.g., "I want a cinematic portrait with warm Rembrandt lighting.").
  2. Select the target format (portrait, product, cinematography) and reference style if desired.
  3. Receive a production-ready prompt and iterate with tweaks to mood, lighting, or lens.

Frequently Asked Questions about art-director

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

FAQPage Schema
How do I write AI image prompts with better composition and lighting?

To write AI image prompts with better composition and lighting, structure your request by specifying framing techniques like the rule of thirds, motivated lighting setups such as Rembrandt, and color grading to guide the visual output.

Can I use the same AI prompt style for portraits and product visuals?

Yes, you can use the same AI prompt style for portraits and product visuals by selecting a target format and leveraging a reusable style library to maintain consistent lighting, mood, and framing across different image sets.

What is the best way to generate cinematic visuals from a vague idea?

The best way to generate cinematic visuals from a vague idea is to translate the request into a story-first prompt that embeds narrative context, depth, and motivated lighting to elevate the image beyond generic AI outputs.

Does this AI prompting approach work with multiple image and video models?

Yes, this AI prompting approach works with multiple image and video models, including Nano Banana Pro, Qwen Image, Wan 2.2, and Sora2, by enforcing a production-ready prompt format designed for model interoperability.

How do I start creating production-ready prompts for AI art direction?

To start creating production-ready prompts for AI art direction, state your creative goal in a short sentence, select a target format like portrait or cinematography, and iterate on the received prompt with tweaks to mood or lens specifications.

Why do my AI generated images look generic instead of cinematic?

Your AI generated images look generic instead of cinematic because they lack structured composition, color theory, and story-first narrative context, which are necessary to enforce a production-ready visual mood and depth.