Generate a publication-grade method / architecture / pipeline / workflow figure (a paper or README 'Figure 1') as an AUDITABLE object, not a one-shot prompt. A deterministic JSON blueprint LOCKS the content; an image model (gpt-image-2, baked by the agent via mcp__codex__codex — Codex GPT-5.5 xhigh, sandbox workspace-write) bakes the aesthetic from a labeled-condition render + the project's real identity refs; a cross-model panel (Gemini + Codex) blind-transcribes the result and a script hard-diffs it against the blueprint; the loop regenerates until Gemini AND Codex approve and the diff is empty — then the calling agent (Claude) gives the structural sign-off. NOT for statistical plots (use a plotting tool) or photo scenes.
How to install method-figure?
wanshuiyin/aris-movie-director/method-figure
$npx -y skills add wanshuiyin/aris-movie-director --skill method-figureInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/wanshuiyin/aris-movie-director" --skill "wanshuiyin/aris-movie-director/method-figure"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/wanshuiyin/aris-movie-director" that are relevant to the current task. Run `npx skills add "https://github.com/wanshuiyin/aris-movie-director"` and select the relevant skills, then follow their instructions.
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