A skill package for web novel writing that covers market trend analysis, novel deconstruction, chapter-by-chapter generation, AI trace removal, and cover image creation. It targets Chinese web novel platforms and relies on external AI models for inference and image generation.
Project overview
It uses file system separation rather than context memory to maintain consistency in settings, outlines, text, and tracking across long-form novels.
Project type
AI Agent · AI Coding
Use cases
Documents & Office · Coding & Development
Deployment
Refer to project documentation
License
MIT
Best for
Creators targeting Chinese web novel platforms like Qidian and Zhihu who require structured consistency management for long-form and short-form fiction.
Key capabilities
Deploys agents, hooks, and configuration files for specific CLI or Web AI environments via story-setup.
Assists with outline creation, character design, and chapter-by-chapter text generation for long novels.
Analyzes existing novels into a structured benchmark library with character profiles, plot pacing, and writing techniques.
Scans popular platforms to capture market trends and reader profiles for long and short stories.
Provides a local writing lint to detect and clean deterministic AI writing artifacts.
Analyzes book titles and genres to generate cover images using an external image model.
Provides 7 hooks for context management, consistency validation, and outline enforcement before writing.
Assists with emotional design, plot twists, and finalizing short stories.
Limitations and risks
ZCode 3.3.4 does not execute project/plugin custom agents.
Operation requires paid external services, including Claude models for architecture and narrative tasks, GPT-Image-2 for covers, and optionally the Zhuque AIGC Detector CLI.
Getting started
Install the skill via npx or by telling the AI agent to install it, then run /story-setup to deploy the necessary agents, hooks, and configuration files.
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