Novel or Script to Storyboard
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Install @davtime/xiaoshuojubenzhuanfenjing according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Novels and scripts are long-form text, but they are hard to feed directly into image or video generation tools. Common gaps include unstable character names, missing shot scale and camera movement, unstructured prompts, and no durable intermediate artifact between prose and lens language. @davtime/xiaoshuojubenzhuanfenjing targets this text-to-visual pipeline and provides a repeatable workflow from novel, script, to storyboard without directly generating images.
Core Capabilities and Key Steps
- Mode A: Novel to Script: adapts novel material into a storyboard-ready literary script, usually through point extraction, three-act structure, and draft confirmation.
- Mode B: Script to Storyboard: splits
.md/.txtscripts into shot tables, character cards, and AI prompt drafts. - Mode C: Novel to Storyboard: skips the intermediate script and extracts shots, character cards, and scene information directly from the novel, suitable for fast paths and batch file processing.
The workflow first confirms user intent through a mode menu and avoids guessing when the request is ambiguous. It then loads the relevant references/ instructions, templates/ output templates, and scripts/ batch utilities to produce structured results such as storyboard.json. Chinese dialogue, scene headers, and prompt drafts remain in Chinese by default, while image_prompt / video_prompt fields are translated into English at the end of the stage. Character names stay stable and map to CHAR_xxx identifiers for downstream consumers.
Boundaries and Notes
This skill is useful when the goal is a stable intermediate artifact: script, storyboard table, character cards, and prompt drafts that can later be passed to image or video services. It does not call image or video APIs itself and does not guarantee final visual output in one pass. Modes A and B are better for confirming key passages with a human; Mode C is batch-oriented, so long texts should be segmented to reduce context overload and character-consistency drift.
Use Cases
- A writer has a novel and wants to restructure it into acts, dialogue, and scene headers before script review.
- A producer has a Markdown script and needs it split into a shot table with scale, camera movement, tone, and storyboard.json.
- An AI content planner extracts character cards, CHAR_xxx mappings, and Chinese scene prompts from short stories for downstream drawing models.
- A team processes a long novel by segmenting it directly into shots while keeping intermediate files for manual review.
Best For
- Short-form drama writers: need to adapt novels into production-ready scripts with acts, scene headers, and dialogue drafts.
- Pre-production animators: have scripts and need shot breakdowns, character cards, prompt drafts, and stable character IDs.
- AI content strategists: want to convert stories directly into shots and image_prompt fields for image or video tools.
- Webnovel operations editors: batch-process story excerpts into storyboards and scene cards while retaining intermediate files for review.
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