Summary

Novel Writer is an AI-powered tool for systematic Chinese novel creation. It uses a "Spec-Kit" framework and a seven-step methodology, integrating via slash commands into AI assistants to streamline writing and enhance quality.

How It Works

The project employs a Specification-Driven Development (SDD) approach via its "Spec-Kit" framework. It guides users through a seven-step methodology (constitution, specify, clarify, plan, tasks, write, analyze) using specialized slash commands executable within AI assistants like Claude, Gemini, and Cursor. This provides a structured, context-aware, AI-assisted workflow for generating high-quality, consistent narratives, optimized for Chinese language.

Quick Start & Requirements

• Installation uses npm: npm install -g novel-writer-cn.
• Projects are initialized with novel init [project-name], allowing specification of AI platforms (--ai claude), plugins (--plugins authentic-voice), or all configurations (--all).
• Requires Node.js and npm. Supports Windows, macOS, and Linux.
• Detailed guides are in docs/installation.md and docs/workflow.md.

Highlighted Details

• Supports 13 AI assistants (Claude, Cursor, Gemini, Copilot, etc.).
• Implements a structured seven-step methodology for systematic novel development.
• Features a plugin system for extensibility (voice, translation, style imitation).
• Includes quality assurance tools for plot tracking, timeline management, character consistency, and world-building.
• Optimized for Chinese language with word count statistics and multi-line management.

Maintenance & Community

Hosted on GitHub (https://github.com/wordflowlab/novel-writer), welcoming Issues and Pull Requests. No direct community channels (e.g., Discord, Slack) are listed. Part of the broader "WordFlowLab" ecosystem exploring AI-assisted writing.

Licensing & Compatibility

Released under the MIT License, which is permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

Adoption requires learning the "Spec-Kit" framework and the seven-step methodology. Users need comfort with CLI tools and AI assistant workflows. The project is one component within a larger "WordFlowLab" suite, suggesting specialized versions exist.