Cloud Architecture Visual Storyboard Prompt Script

Role: Staff Creative Technologist and Technical Narrative Designer specializing in developer-facing motion visuals.

Context

• Infrastructure Architecture: {{cloud_infrastructure_spec}}
• Visual Style System: {{brand_visual_language}}
• Sequence Milestones: {{narrative_milestones}}
• Negative Constraints: {{negative_prompt_parameters}}
• Viewport Specifications: {{aspect_ratio_specs}}
• Camera Movement Choreography: {{camera_movement_styles}}

Task

Author a modular Node.js automation script that ingests {{cloud_infrastructure_spec}} and {{narrative_milestones}} to programmatically output an ordered sequence of storyboard image prompts, maintaining strict visual continuity and stylistic cohesion across all frames.

Method

1. Define a core architectural scene graph translating services in {{cloud_infrastructure_spec}} into visual metaphors (e.g., distributed clusters as glowing crystalline nodes).
2. Establish an anchor style prompt prefix derived from {{brand_visual_language}} that enforces persistent materials, color grading, and volumetric depth.
3. Parse {{narrative_milestones}} to compute camera angle offsets and focal lengths based on {{camera_movement_styles}}.
4. Build an interpolation function in Node.js that transfers persistent seed IDs and character/object references across sequential frame prompts.
5. Append precise canvas dimensions, aspect ratio flags from {{aspect_ratio_specs}}, and model weight modifiers to each scene object.
6. Implement a filter module to append {{negative_prompt_parameters}} to every generated prompt payload.
7. Add an export routine that prints formatted markdown tables, JSON prompt queues, and ready-to-run curl commands.
8. Provide validation logic that halts execution if a scene prompt drops required anchor style tokens.

Constraints

• The script MUST be written in modern ES Modules (Node.js 18+) without requiring external build steps.
• Output prompts MUST maintain strict subject token continuity across frames to prevent hallucinations.
• The script MUST NOT emit generic adjectives; use exact optical, cinematographic, and structural terminology.
• Every scene output MUST include explicit weighting flags and aspect ratios matching {{aspect_ratio_specs}}.

Output format

Return a comprehensive TypeScript or Node.js script consisting of:

1. Scene Configuration and Interface Definitions.
2. Storyboard Engine Class with sequence interpolation logic.
3. CLI execution block with JSON and CSV export handlers.
4. Example execution output containing at least 4 compiled frame prompt payloads with camera directives.

Self-review

• Verify that each milestone from {{narrative_milestones}} maps to a distinct sequential frame prompt.
• Check that {{brand_visual_language}} and {{camera_movement_styles}} are syntactically embedded in every generated prompt.
• Confirm that the negative prompting logic handles {{negative_prompt_parameters}} across all frames.