story-long-write

Organizes long-form web novel writing requests into structured pipeline inputs and chapter workflows.

116|21|Updated Jul 6, 2026
One-click install
npx skills add https://github.com/Xiaoyangy/novel-studio --skill story-long-write-xiaoyangy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: story-long-write
Source: https://github.com/Xiaoyangy/novel-studio/tree/main/skills/story-long-write
Command: npx skills add https://github.com/Xiaoyangy/novel-studio --skill story-long-write-xiaoyangy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? Long-form web novel projects lose consistency across hundreds of chapters: outlines drift from the actual prose, foreshadowing gets dropped, character states contradict earlier chapters, and AI-generated text carries detectable stylistic fingerprints. This Skill structures the entire production process—topic selection, core settings, volume outlines, per-chapter blueprints, drafting, and quality review—into file-based, resumable workflows. ## Core Features & Use Cases - Five-phase writing workflow: Covers topic selection, core settings, outline building (volume-level and per-chapter blueprints with word-count budgets), chapter drafting with context loading, and multi-gate quality review including banned-word and AI-pattern scans. - Pipeline adapter mode: When a novel-studio repository is detected, it refuses to write prose directly and instead converts requests (new book, daily update, chapter rewrite) into novel-studio --pipeline invocations with prompt files. - Deterministic quality scripts: Ships Node.js scripts that detect AI-style sentence patterns, em-dashes, paragraph stutter, model degeneration, and normalize punctuation in finished chapters. - Use Case: A writer says "帮我开书" (start a new book) with a target platform and genre; the Skill guides them through benchmarking against comparable titles, builds the settings/outline/tracking file tree, then produces chapters one at a time with word-count verification and continuity tracking after each chapter. ## Quick Start Tell the assistant to start a new long-form web novel using the story-long-write skill, specifying your genre, target platform, and any benchmark titles you want to emulate.

Frequently Asked Questions about story-long-write

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

FAQPage Schema
How do I start writing a long web novel with AI assistance?

Invoke the skill with a request like "帮我开书" and provide your target emotion, genre, and any benchmark titles. It walks through five phases: topic selection, core settings, volume and chapter outlines, drafting, and quality review, storing everything in a structured project directory.

How does the skill handle daily chapter updates for serialized fiction?

When the project already has chapters and tracking files, requests like "日更" or "续写" route to the daily workflow reference. Chapters are written strictly serially: each chapter must hit its word count, pass quality gates, and update tracking files before the next begins.

Can this skill write chapters directly inside a novel-studio repository?

No. When a novel-studio repository is detected, the skill acts only as a pipeline adapter. It writes requirements into a prompt file and invokes novel-studio --pipeline; direct prose generation or chapter file edits are explicitly forbidden in that context.

How does it detect and remove AI-sounding prose from chapters?

It combines a banned-words reference list, an eight-pattern AI writing detection guide, and deterministic Node.js scripts. The scripts flag negative-then-positive flip sentences, em-dashes, paragraph stutter, and model degeneration like repetition or truncation, which must be rewritten before proceeding.

What happens if the writing session gets interrupted or context is compressed?

The skill maintains a lightweight execution context file recording the current stage, chapter, files read, and next step. Long content is always persisted to disk, so recovery reads the context file and resumes from the recorded state instead of relying on conversation memory.

What are the limitations of the multi-novel parallel scheduling?

Parallel batches are capped at five agents, one novel per agent, with remaining books queued. Within a single novel, chapters must be written strictly serially, and the main session keeps only a lightweight scheduling table to avoid context overflow.