What problem does it solve? Writing effective prompts for FLUX image generation models requires knowing model-specific behaviors, and vague or incorrectly structured prompts produce mediocre images, wasted API credits, and failed text rendering. ## Core Features & Use Cases - Prompt Structure Guidance: Applies the subject-action-style-context-lighting-technical formula with positive-only descriptions, since FLUX does not support negative prompts. - Model Selection: Decision matrices for choosing among FLUX.2 [klein], [pro], [max], [flex], [dev] and FLUX.1 models based on speed, quality, cost, and typography needs. - Advanced Techniques: Covers JSON structured prompting, hex color specification, typography rendering, image-to-image editing, and multi-reference composition. - Use Case: A marketing team needs a product hero image with brand colors and readable headline text; the skill selects FLUX.2 [flex], specifies hex brand colors, and quotes the exact headline text. ## Quick Start Use the flux-best-practices skill to write a FLUX.2 prompt for a golden-hour product photo of headphones with the text "SUMMER SALE" in bold sans-serif.
