---
name: chinese-novelist
description: | 进入每个阶段时，先阅读对应的流程文档以获取详细执行指令。 读取用户偏好，检测未完成项目（中断续写），展示个性化欢迎。 → 详见 phase0-initialization.md 通过递进式…
category: other
runtime: no special runtime
---

# chinese-novelist output preview

## PART A: Task fit
- Use case: | 进入每个阶段时，先阅读对应的流程文档以获取详细执行指令。 读取用户偏好，检测未完成项目（中断续写），展示个性化欢迎。 → 详见 phase0-initialization.md 通过递进式问答收集创作需求，确定小说定位与标题： 创建项目文件夹（./chinese-novelist/{timestamp}-{小说名称}/），生成大纲、人物档案和写作计划JSON，等待用户确认。 → 详见 phase2-planning.md runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “三大黄金法则 / 特性说明 / 核心流程” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “| 进入每个阶段时，先阅读对应的流程文档以获取详细执行指令。 读取用户偏好，检测未完成项目（中断续写），展示个性化欢迎。 → 详见 phase0-initialization.md 通过递进式问答收集创作需求，确定小说定位与标题： 创建项目文件夹（./chinese-novelist/{timestamp}-{小说名称}/），生成大纲、人物档案和写作计划JSON，等待用户确认。 → 详见 phase2-planning.md runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “三大黄金法则 / 特性说明 / 核心流程” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.