← ClaudeAtlas

world-builderlisted

Builds out a fictional "world" around an already-trained custom character model — a staged, multi-batch pipeline (no-mascot moodboard, paired with/without-model scene tests, society & culture batch, family/village/society deep pass, landmarks/maps/art pass, optional contamination-check redo) that goes from "I have a trained mascot" to "I have a whole visual world this character lives in," using `generate_image`, `generate_images_bulk`, `remix_image`, and `describe_image`. Use whenever the user wants to expand a locked mascot or character (already produced by `character-model-sheet` and trained by `custom-model-training`) into a broader brand world — community scenes, rituals, hierarchy, family/village life, landmarks, maps, art objects — or asks for "world-building," "brand world," "the world Ding-Bot lives in," "expand the universe around this character," or "society/culture pass." Distinct from `character-model-sheet` (locks the one character's own design) and `custom-model-training` (turns that locked desi
devkindhq/ideogram-ai-toolkit · ★ 2 · AI & Automation · score 70
Install: claude install-skill devkindhq/ideogram-ai-toolkit
# World Builder A trained custom model locks one character's likeness. It does not, by itself, tell you what that character's *world* looks like — the palette its packaging uses, whether it has a village, what its landmarks are, whether "family" scenes read as a community or as a crowd of clones. This skill is the staged pipeline for answering that, developed over several real sessions building out the world around PorchPing's mascot ("Ding-Bot") and generalized here so it applies to any already-trained character. The whole pipeline is sequenced around one constraint: **every image that uses the custom model spends training-specific budget and risks compounding whatever quirks the model has (see `references/character-batch-discipline.md`), so cheaper no-model passes come first, cheaper batches come before expensive ones, and nothing gets called "done" without a human visually reviewing it.** ## Prerequisite — do not start without this A custom model must already exist for the character, trained via the `custom-model-training` skill (dataset → `train_model` → `get_model` polling → `custom_model_uri`). If the user hasn't mentioned a `custom_model_uri`, ask for it or run `mcp__ideogram__list_models` to find it before doing anything else. Don't start generating "world" images against a character description alone — the entire point of this pipeline is testing how a *trained* model behaves across many contexts, not describing the character freshly in each prompt (which `charac