jiaos

Automate novel writing with a multi-agent pipeline for planning, composing, and revising.

38|14|Updated Jun 2, 2026
One-click install
npx skills add https://github.com/zxerai/novelix --skill jiaos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jiaos
Source: https://github.com/zxerai/novelix/tree/main/skills
Command: npx skills add https://github.com/zxerai/novelix --skill jiaos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, anthropic, custom, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of novel writing, including generation, auditing, and revision, with AI agents and a web-based workbench, saving writers time and enhancing productivity.

Core Features & Use Cases

  • Automated Novel Writing: Uses a multi-agent pipeline to generate novel content with zero human intervention per chapter.
  • Quality Control: Includes 33-dimensional quality checks and automated revisions to ensure high-quality output.
  • Style Imitation: Analyzes and imports writing styles from reference texts for consistent storytelling.
  • Use Case: Ideal for writers looking to create novels or short fiction, or for those who want to expand on existing works with spin-offs or fan fiction.

Quick Start

Use the jiaos skill to create a new novel with the title 'My Novel' and the genre 'xuanhuan'.

Frequently Asked Questions about jiaos

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate novel writing with multiple AI agents?

Automated novel writing uses a multi-agent pipeline to handle planning, composing, writing, auditing, and revising chapters. You must configure an LLM provider and model to generate content with zero human intervention per chapter.

Can I imitate a specific writing style for AI novel generation?

Style imitation in novel generation analyzes and imports writing styles from reference texts to ensure consistent storytelling. The multi-agent pipeline applies this imported style throughout the automated writing and revising process.

How does AI quality control work for generated fiction?

Quality control for generated fiction applies 33-dimensional quality checks during the auditing phase. The multi-agent pipeline then performs automated revisions based on these checks to ensure high-quality novel output.

Do I need a specific LLM provider to run automated fiction generation?

Automated fiction generation requires configuring an LLM provider and model to power the multi-agent pipeline. It supports OpenAI, Anthropic, and custom providers to execute the planning, composing, and revising stages.

What is the best way to expand an existing work with AI-generated spin-offs?

Expanding existing works with AI-generated spin-offs uses a multi-agent pipeline that supports style imitation from the original text. It handles various genres and provides analytics to track expansion progress and quality.

Why does automated novel writing require a web-based workbench?

A web-based workbench provides an interface to manage the multi-agent novel writing pipeline and access analytics for tracking progress and quality. It coordinates the automated generation, auditing, and revision stages.