AI Anime Short Drama Full Workflow Generator

The Challenge: Converting Novels to Short Drama Assets

A major bottleneck in producing AI anime short dramas lies in transforming unstructured novel text into actionable production asset packs. Original novels contain extensive literary descriptions, psychological narratives, and pacing, while short drama production requires structured scripts, visual character designs, scene setups, and storyboards. This conversion typically involves manual intervention from screenwriters and directors, encompassing script adaptation, character consistency maintenance, scene planning, and storyboard design—processes that are time-consuming and prone to fragmented assets or inconsistent styles due to subjective interpretation.

How It Works: A Multi-Stage Automated Workflow

The skill systematizes novel content into production assets through five sequential and parallel stages, with user confirmation required after each stage for quality assurance.

• Stage 1: Novel to Script — Executes with a script adaptation expert role. It parses novel text, extracts key elements like scenes, characters, and dialogue, identifies adaptation opportunities, then generates a standard script stripped of literary descriptions and focused on shootable content, followed by consistency checks.
• Stage 2: Script Processing — Includes script self-review (checking format, hooks, duration), outline generation (selecting narrative structures like Save the Cat or Hero's Journey), and final scene script output. Scene scripts strictly adhere to audiovisual thinking, requiring actions prefixed with △, dialogue annotated with emotional cues, and embedded emotional hooks such as suspense or identity reversals.
• Stage 3: Information Processing — Runs in parallel for character and scene extraction. Character processing involves extracting standardized info (e.g., name, gender, personality tags), writing character bios (emphasizing behavior over psychology), refining visual keywords (from physical traits to expressions, with reasonable exaggeration), and generating Chinese three-view prompts. Scene processing extracts IDs and descriptions, then creates scene prompts.
• Stage 4: Storyboard Generation — As a film director, splits scripts into storyboards based on 8 core principles (e.g., cutting on emotional shifts, dialogue eyeline match). Each shot requires assigning shot type, camera movement, duration, and writing visual content that integrates 8 elements like visual style, environment setup, and action description. Finally, it outputs start/end frame prompts and video prompts.
• Stage 5: Excel Output — Compiles character, scene, and storyboard tables into a structured file for downstream use.

The skill emphasizes user interaction, providing summaries and awaiting confirmation after stages 1, 2.2, 2.4, 3, and 5, with rollback options for revisions. For lengthy novels, batch processing is recommended.

Considerations and Boundaries

• Applicability: Suitable for narrative novels with clear plots and characters, such as urban, ancient style, or fantasy genres. For non-narrative content (e.g., poetry or essays), transformation effectiveness may be limited.
• User Input: Novel content and anime style selection (e.g., 2D古风 or 赛博朋克) are mandatory; adaptation degree is optional, defaulting to moderate adaptation. If no style is specified, the skill recommends based on the theme.
• Quality Control: Intermediate results, especially scene scripts and storyboards, require user review to ensure alignment with expected pacing and visual style. The skill does not handle copyright issues; users must ensure content compliance.
• Technical Dependencies: Excel generation requires pandas and openpyxl libraries, which auto-install if missing. All prompts are written in Chinese to suit Chinese anime production workflows.