bulk-image-generation-workflowlisted

# Bulk Image Generation Workflow This skill orchestrates around one tool: `mcp__ideogram__generate_images_bulk(prompts: list[str], ...)`. It accepts 1–500 prompt strings and submits them as one async background job; results render into a carousel as each image completes rather than blocking on the whole batch. The constraint the whole skill is built on: every non-prompt parameter (`aspect_ratio`, `resolution`, `rendering_speed`, `style_type`, `negative_prompt`, `seed`, `magic_prompt_option`, `custom_model_uri`, `collection_id`, `private`) is shared across the entire batch — there is no per-prompt override. On-brief variation at scale has to come from differences in the prompt text itself, not from differences in call parameters. Note the caveat: `style_type`, `negative_prompt`, `seed`, and `magic_prompt_option` only take effect when `custom_model_uri` is set (the custom-model v3 path); on the default v4 path they're ignored, so passing them there does nothing. This skill sits between `collections-management`'s pure-orchestration pattern and the pure prompt-composition skills' pattern: mostly orchestration, with one prompt-composition component — turning one caption into N prompts — covered by `references/variation-strategy.md`. ## Before you start Read `references/variation-strategy.md` before drafting the prompt array (steps 2–3 below) and `references/review-culling-guide.md` before reviewing results (step 6 below). Both apply before you touch the workflow. ## Workflow