anti-slop-visuals

What problem does it solve?

AI-generated visuals often suffer from slop—generic prompts that produce forgettable results and lack deliberate artistic direction. This Skill enforces cinematic quality, creative specificity, and human artistic intent when writing or evaluating prompts for image and video generation tools such as Midjourney, DALL-E, Sora, Veo, Kling, Runway, or any capable model. It also guides assessment of visual outputs to determine alignment with a director's vision.

Core Features & Use Cases

• Anti-Slop Prompt Architecture: FRAME (shot language), SUBJECT (specificity + imperfection), LIGHT (directional sources), COLOR (palette with references), TEXTURE & GRAIN (material detail and film-like texture), and NEGATIVE PROMPTS to constrain clichés.
• Banned cues and language guidance to avoid generic descriptors like "beautiful" or "cinematic lighting" without specifics.
• Video-specific rules and prompts structure to prevent motion/loop slop, parallax abuse, and timing artifacts.
• Use cases include crafting prompts for image generation, video generation, prompt evaluation, and brand/storytelling assets that require a distinct human-artistic signature.

Quick Start

Give me a precise, director-level prompt for an image or video task that follows the Anti-Slop framework.