story-long-write

Plan and draft long-form web novels with phase-driven workflows.

482|72|Updated May 24, 2026
One-click install
npx skills add https://github.com/uu201/character-arc --skill story-long-write-uu201
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: story-long-write
Source: https://github.com/uu201/character-arc/tree/main/resources/skills/oh-story-claudecode/story-long-write
Command: npx skills add https://github.com/uu201/character-arc --skill story-long-write-uu201

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides long-form web novel writing from outline to manuscript, including worldbuilding, character development, and plot progression management.

It helps writers maintain coherent arcs across volumes, keep characters consistent, and align cadence with market-facing structures. It provides a phased workflow, modular artifacts, and AI-assisted guidance to accelerate disciplined drafting.

Core Features & Use Cases

  • Phase-driven workflow covering Phases 1 through 5, with automatic artifact generation for core设定, 关系, 题材定位, 大纲, 追踪伏笔, 时间线, and 角色状态.
  • Reusable artifact protocols and templates that sync with 拆文库/对标 content to speed up worldbuilding and章节 planning.
  • Optional agent integrations (story-architect, character-designer, narrative-writer, consistency-checker) to assist core tasks and quality checks.
  • Automated metadata outputs for Skill units, including structured fields like 名称、描述、分类、关键字 and dependencies.
  • Cross-project collaboration with 对标/原文 references to bootstrap new卷纲 and细纲 quickly.

Quick Start

Provide your project directory, target genre, and initial character concepts, and I will generate Phase-1 core settings and Phase-3 outlines, then produce the initial卷纲 and 细纲 for the first chapters.

Frequently Asked Questions about story-long-write

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

FAQPage Schema
How do I plan and draft long-form web novels across multiple volumes?

Planning long-form web novels requires a phase-driven workflow that generates structured artifacts for worldbuilding, outlines, and chapter planning. This Skill provides modular templates and AI-assisted guidance to maintain coherent arcs and character consistency across multiple volumes.

Can I use AI agents for consistency checks and cross-referencing during web novel writing?

AI agents for consistency checks and cross-referencing are supported during web novel writing. The Skill integrates with story-architect, character-designer, narrative-writer, and consistency-checker agents to assist core tasks and ensure scalable, error-checked workflows for large projects.

What's the best way to manage plot progression and foreshadowing in long-form stories?

Managing plot progression and foreshadowing in long-form stories is handled through automatic artifact generation for outlines, timelines, and tracking foreshadowing. The workflow syncs with benchmark works to align cadence with market-facing structures and accelerate disciplined drafting.

How do I generate core settings and chapter outlines for a new web novel project?

To generate core settings and chapter outlines, provide your project directory, target genre, and initial character concepts. The Skill produces Phase-1 core settings and Phase-3 outlines, then outputs the initial volume outlines and detailed chapter outlines for the first chapters.

Does this long-form writing workflow require integration with benchmark works?

Integration with benchmark works is a core feature of the long-form writing workflow. It applies reusable artifact protocols that sync with benchmark content to speed up worldbuilding, chapter planning, and cross-project collaboration for bootstrapping new volume outlines.

What are the limitations of using phase-driven workflows for web novel manuscripts?

Phase-driven workflows for web novel manuscripts require structured inputs like project directories and character concepts to function properly. While it supports end-to-end planning, users must manage dependencies on AI agent integrations for architecture and consistency checks to avoid output errors.