Agent skill

Novel Import and Project Rebuild

by zenstory-ai in zenstory-ai/oh-story-claudecode

Reverse-imports an existing novel, half-finished or complete, into the standard project structure so story-long-write or story-short-write can continue it.

MITAuto-check passedWriting & Content

SKILL.md written in Chinese; this summary is our English description.

Install Novel Import and Project Rebuild

skills CLI
$ npx skills add zenstory-ai/oh-story-claudecode --skill story-import -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zenstory-ai/oh-story-claudecode story-import --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zenstory-ai/oh-story-claudecode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/story-import .claude/skills/story-import && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
story-import
GitHub stars
7.4k
Used in
1 other repo
Token cost
~1.7k tokens
SKILL.md length
351 words
Files
19 (incl. scripts, references)
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Reverse-imports an existing novel, half-finished or complete, into the standard project structure so story-long-write or story-short-write can continue it.

  • Works in 5 steps: :确认来源与范围 → :深度分析 → :结构迁移 → …
  • Importing a half-written web novel into a project so you can keep writing
  • SKILL.md covers 名词与目录边界(全流程硬约束), 时刻表与交接, Phase 1:确认来源与范围 and Phase 2:深度分析, plus 5 more sections
  • Runs Python and JavaScript scripts from its folder

What it does

The agent acts as a reverse engineer for novel projects, aiming to rebuild a continuable writing project rather than just analyze the book. It confirms title, genre, platform, length, how to treat unfinished drafts, any external benchmark book and whether to set up the environment, then routes by length to the long-form or short-form analysis pipeline for a deep breakdown stored in an analysis-library folder for the imported book.

Next it maps the analysis into the project structure (settings, text and outline, with per-chapter detailed outlines reversed in batches for long works), initializes tracking files for long works, and finishes with a report and activation of the active book. Imported books are never registered as benchmark books, and when you name no outside benchmark, none is created. If the runtime does not expose custom agents, it falls back to working solo and says so, and a version mismatch in the project's deployment marker triggers a notice rather than a block.

When your agent uses it

  • Importing a half-written web novel into a project so you can keep writing
  • Reverse-engineering an outline and chapter structure from a finished manuscript
  • Rebuilding character and plot tracking files for a long novel

Example prompts

  • “Import my unfinished web novel from ./drafts/novel.txt into a project I can keep writing.”
  • “Reverse-parse my completed short story into the standard project structure.”
  • “Run /story-import on the manuscript in ./drafts/novel.txt and report what you rebuilt.”

Requirements

  • The story-long-analyze and story-short-analyze skills it reuses
  • A project set up for story-long-write or story-short-write

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. :确认来源与范围
  2. :深度分析
  3. :结构迁移
  4. :追踪初始化(仅长篇)
  5. :汇报与激活

What it can do on your machine

Read from SKILL.md and the folder at commit 2cf7be6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python and JavaScript), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Novel Import and Project Rebuild loads about 1.7k tokens when it runs, and up to ~28k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 351 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~28k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from zenstory-ai/oh-story-claudecode at commit 2cf7be6, republished under its MIT licence (© zenstory-ai). 351 words, ~1,653 tokens.

Download SKILL.mdSave it as .claude/skills/story-import/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.
name
story-import
description
逆向导入已有小说。将已写好的小说(半成品或完本)反向解析为标准项目目录结构,兼容 story-long-write / story-short-write 后续写作流程;内部复用 story-long-analyze / story-short-analyze 的拆解管道,按篇幅自动分流。触发方式:/story-import、「导入小说」「反向解析」「导入」「把我的书导进来」。
version
1.0.0

story-import:逆向导入已有小说

你是小说项目逆向工程师。交付物是写作工程:把作者已有的书重建为可续写的工程(项目结构 + 拆文库分析资产),让作者能直接接着写。拆文库/{导入书名}/ 是重建工程的数据源,保留不丢弃,但不是交付物本身;对作者以「建工程」为可见目标,别把「拆文」当成终点或对外标签。

Agent 兼容性:只检查当前运行时的 canonical 目录:Claude .claude/agents/{agent}.md、OpenCode .opencode/agents/{agent}.md、Codex .codex/agents/{agent}.toml、Antigravity .agents/agents/agent-name/agent.md(agent-name 为目标 agent 名),不得因其他端文件存在而误判。Codex 使用同名 agent_type;Antigravity 使用 invoke_subagent + TypeName。对应运行时未暴露 custom-agent registry / invoke_subagent 或返回未知 agent 时,必须降级 solo/direct。检测到 .zcode/ 时同样直接 solo/direct,因为 ZCode 3.3.4 不执行项目 custom agents;报告 Fallback: project custom agents unavailable -> solo。Claude 用 subagent_type;OpenCode 用 subagent 工具的 agent 参数。

Spawn 版本提示(不阻断 spawn):先读取项目根 .story-deployed 的 agents_version。与本版 agents_version: 34 不一致时(标记缺失、字段缺失/非整数、小于或大于 34)照常按文件存在性检查并 spawn,同时报告 Notice: agents bundle 版本不匹配(项目 {N},本版 34) 并提示重新运行 /story-setup 后新开会话;大于 34 时额外提示先更新 oh-story-claudecode,不要用本地旧版 setup 降级覆盖。只有 agent 文件缺失、或运行时不暴露 custom agent 时才降级 solo/direct,报告 Fallback: ... -> solo。

名词与目录边界(全流程硬约束)

  • {导入书名}:用户自己已经写到一半或已经完本、现在要重建为工程的小说;它的分析源固定为 拆文库/{导入书名}/。
  • {对标书名}:用户另行选择的外部参考作品;它必须是独立拆解产物,来源固定为 拆文库/{对标书名}/,且不得指向本次导入源。
  • story-import 可以复用拆解管道分析 {导入书名},但不得把 {导入书名} 登记为主/副对标,不得把 拆文库/{导入书名}/ 或项目 设定/ 复制进 对标/。
  • 用户没有明确选择外部对标时,不创建对标子目录、不写 主对标书;后续由 story-long-write / story-short-write 的对标发现流程单独处理。

先分析后迁移:深度分析复用现成管道(长篇 /story-long-analyze,短篇 /story-short-analyze),方法、模板与质量检查由 analyze skill 自带,本 skill 不另维护;再把分析结果迁移为项目结构。

时刻表与交接

导入是一串时刻,每个时刻只读自己的文件;后一时刻只靠落盘文件接上前一时刻,不靠对话记忆。

时刻作者确认什么读什么落盘
Phase 1 确认来源与范围书名、题材、平台、篇幅、残稿怎么处理、外部对标、先不先装环境本文件 Phase 1;判篇幅读 length-routing.md导入记录
Phase 2 深度分析不打扰作者deep-analysis.md,再照它进入拆书流程拆文库/{导入书名}/
Phase 3 结构迁移原文没分卷时,卷怎么分长篇 structure-mapping-long.md;短篇 structure-mapping-short.md项目 设定/、正文/、大纲/(短篇为三个单文件)
逐批反推细纲(长篇)不打扰作者本批任务包(见 outline-reverse.md)大纲/细纲_第XXX章.md
Phase 4 追踪初始化(长篇)不打扰作者import-tracking.md追踪/
Phase 5 汇报与激活请作者核对、拍板的事import-report.md.active-book

导入记录:{书目录}/.story/work/导入记录.md(书目录:长篇 {导入书名}/,短篇 {短篇标题}/),Phase 1 建立,格式见下方 Step 5。每个时刻开头先读它,不回翻对话;时刻交付前把作者在对话里新定的事(决定、偏好、红线、否掉的方案)和进度写回它,再往下走。 换上下文:深度分析、每批细纲、追踪初始化读的东西多。每个时刻交付后,汇报末尾加一句「下一步建议新开一个对话,说『继续导入』,会更专注」;作者要在本对话继续也照做。作者说「继续导入」时,在项目根下找进度没勾完的 */.story/work/导入记录.md,从第一个未完成的进度接着做。 导入续写入口顺序:用户只问流程时先答结论再收原文——推荐先 /story-setup,新开对话 /story-import,导完 /story-long-write 日更;也可直接导入,缺环境时 Step 4 给选择。导入过的书、旧版追踪的书、超过 200 章的书按 import-special-cases.md 处理。


Phase 1:确认来源与范围

Step 1:确认意图

默认目标是可续写的写作工程。意图不明时主动问:「你是想把这本书做成可续写的写作工程(设定/大纲/正文/追踪,能接着写第 N+1 章),还是只要一份拆文库分析?」只要分析 → 直接用 /story-long-analyze(短篇 /story-short-analyze),到拆文库为止,不建导入记录、不做迁移。

Step 2:拿到原文

问:「你要导入哪本书?请提供文件路径或直接贴文本。」单文件(.txt/.md)按章节分隔符自动切分;目录按文件名排序合并;直接贴的文本在 Step 5 书名定下后原样存成 {书目录}/.story/work/导入原文.md(换对话后对话里的文本就拿不到了);都没有就请作者提供。本时刻只确认源文件就绪,原文备份到 拆文库/{导入书名}/原文/ 由 Phase 2 的拆解管道负责,这里不另备份。

Show full SKILL.md (152 more words)Show less
Step 3:基本信息确认
  1. 自动检测书名(如有)、总章数、总字数、章节格式。
  2. 请作者确认:导入书名、题材类型、目标平台(起点/番茄/晋江/其他)、是否完本(半成品写到第 N 章)、篇幅(长篇/短篇,按 length-routing.md 检测:用户显式声明 > 结构信号 > 字数兜底,向作者复述结果请其确认;决定 Phase 3 走 3-L 还是 3-S)、最后一章是否完整——残稿时告诉作者,请他决定「接着残章写」还是「先补完再导入」,本 skill 只记录决定,不替作者选。
  3. 外部对标(可选、与导入源分离):作者已明确指定时记录 {对标书名},并确认 拆文库/{对标书名}/ 是该参考作品的独立拆解产物;不得把 {导入书名} 或本次刚生成的拆文目录当候选。未指定时不追问,记为“未绑定”。
  4. 向作者展示检测到的章节范围、字数、篇幅、最后一章状态与“外部对标:{对标书名/未绑定}”,确认后往下走。
Step 4:写作环境检测

先读取 .story-deployed 并执行顶部 Spawn 版本门禁;旧版 chapter-extractor 文件即使仍在磁盘上也不可复用。通过后在当前运行时的 canonical 目录检查 chapter-extractor(Claude/OpenCode/Antigravity 为同名 Markdown,Codex 为同名 TOML),顺带记下 story-architect 是否可用(逐批细纲用)。.story-deployed 的 target_cli 含 zcode 时项目 agents 缺失是预期状态:不提示重复部署,直接串行 solo/direct 并报告 fallback。

部署标记缺失、版本无效/过期,或当前端 agent 不可用(且不是已部署 ZCode 项目)时这样问:

「这个项目还没装好写作环境。装好后由专门的分析助手逐段拆书,主对话不会被整本书塞满;不装也能导,只是全部在主对话里做,慢一些,结果一样完整。你想:1. 先装环境(推荐):运行 /story-setup,装完再说"导入" 2. 直接导入,慢一点也行」

选 1 → 先按 Step 5 把已确认的信息写进导入记录(写作环境记「待装」),暂停导入,装完新开对话说「继续导入」;选 2 → Phase 2 由主会话串行处理,产物完整。

Step 5:写导入记录

确认完把结果写进 {书目录}/.story/work/导入记录.md(目录不存在就建;贴入的原文同时存到同目录),再进入 Phase 2:

markdown
# 导入记录:《{导入书名}》
- 原文:{源文件或目录路径;贴入文本写 .story/work/导入原文.md}
- 篇幅:{长篇 | 短篇}({判定依据一句})
- 范围:第 1–{N} 章,约 {Y} 万字;{完本 | 半成品};首期深拆:{全书 | 第 1–50 章,其余用简化摘要(超过 200 章)}
- 最后一章:{完整 | 残稿:第 {N+1} 章写了一半,作者决定{接着残章写 | 先补完再导入}}
- 题材:{题材类型};目标平台:{平台}
- 外部对标:{对标书名 | 未绑定}
- 写作环境:{已装,分析助手可用{,story-architect 可用} | 待装(继续时重新检测) | 未装,作者选直接导入(主会话串行) | ZCode 串行}
- 卷划分:{待 Phase 3 | 按原文卷界 | 作者已确认:1–40 / 41–95 / …}
- 作者交代:{偏好、红线、否掉的方案,逐条;没有写「无」}

## 进度
- [ ] 深度分析
- [ ] 结构迁移(卷划分已确认、卷纲已写)
- [ ] 细纲:已验收到第 {B} 章(长篇;续跑从第 {B+1} 章整批重做)
- [ ] 追踪初始化(长篇,检查通过)
- [ ] 汇报与激活

Phase 2:深度分析

读 deep-analysis.md,按导入记录的篇幅与写作环境进入对应拆解管道,自动跑完本次需要的范围,不把拆书中途的停靠询问甩给作者。完成后勾进度。

Phase 3:结构迁移

长篇(3-L)按 structure-mapping-long.md 的迁移步骤把 拆文库/{导入书名}/ 迁成 {导入书名}/ 工程;原文没有明确卷界时,卷划分必须等作者确认,确认结果写进导入记录。细纲最后一步按 outline-reverse.md 分批反推。短篇(3-S)按 structure-mapping-short.md 迁成 {短篇标题}/ 的三个单文件,不产 追踪/、大纲/、正文/ 等长篇目录,迁完直接到 Phase 5。

Phase 4:追踪初始化(仅长篇)

读 import-tracking.md,用本 skill 自带的 scripts/tracking_commit.py init 一次性生成 追踪/,check 通过后勾进度。

Phase 5:汇报与激活

读 import-report.md:自检、按模板向作者汇报、设置 .active-book。


流程衔接

时机跳转到命令
导入完想继续写story-long-write / story-short-write/story-long-write + "日更" / /story-short-write
导入完想审查质量story-review/story-review
想拆一本外部对标书story-long-analyze / story-short-analyze/story-long-analyze / /story-short-analyze
从零开新书story-long-write / story-short-write/story-long-write + "开书" / /story-short-write
项目未装写作环境story-setup/story-setup

语言

  • 跟随用户的语言回复,用户用什么语言就用什么语言回复
  • 中文回复遵循《中文文案排版指北》

© zenstory-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 18 other files (scripts, references) in skills/story-import of zenstory-ai/oh-story-claudecode.

  • SKILL.md
  • references/character-state-reverse.md
  • references/deep-analysis.md
  • references/format-and-structure.md
  • references/import-report.md
  • references/import-special-cases.md
  • references/import-tracking.md
  • references/length-routing.md
  • references/outline-reverse-rules.md
  • references/outline-reverse.md
  • references/state-tracking.md
  • references/structure-mapping-long.md
  • references/structure-mapping-short.md
  • references/tracking-initialization.md
  • references/tracking-transaction.md
  • scripts/build_outline_brief.py
  • scripts/check-outline-contract.js
  • scripts/tracking_commit.py
  • scripts/wordcount_core.py

Open the folder on GitHubat commit 2cf7be6

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in zenstory-ai/oh-story-claudecode, which our catalogue first saw on October 7, 2026.

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  • Chrome CDP Browser Control

    zenstory-ai/oh-story-claudecode

    Drives a Chrome window over the DevTools Protocol with the agent-browser CLI, so the agent can reuse your logged-in sessions, read pages and pull tokens.

    7.4k GitHub starsUsed in 2 repos~1.2k tokens
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  • Story Multi-Perspective Review

    zenstory-ai/oh-story-claudecode

    Reviews Chinese web-novel text with several reviewer agents in parallel, falling back to a single-agent pass, and reports structure, character, prose and setting problems with fixes.

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  • Short Web Fiction Trend Scan

    zenstory-ai/oh-story-claudecode

    Scans popular short web-fiction rankings on Chinese platforms such as Dianzhong and Heiyan to surface trending emotional hooks, themes and topic candidates with an expiry warning.

    7.4k GitHub starsUsed in 2 repos~1.2k tokens
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  • Story Toolbox Router

    zenstory-ai/oh-story-claudecode

    Routes a Chinese web-novel writing request to the matching tool in a 13-skill toolbox, covers author habit memory, and can launch a local dashboard for browsing a project.

    7.4k GitHub stars~1.7k tokensUpdated today
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  • Web Novel AI-Trace Remover

    zenstory-ai/oh-story-claudecode

    Rewrites AI-sounding Chinese web novel text so it reads naturally, changing as little as possible and keeping plot, names and numbers intact.

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  • Long-Form Web Novel Deconstruction

    zenstory-ai/oh-story-claudecode

    Breaks down a long Chinese web novel chapter by chapter into plot, rhythm, characters, and style, through a resumable staged analysis.

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Questions about Novel Import and Project Rebuild

What does Novel Import and Project Rebuild do?

Reverse-imports an existing novel, half-finished or complete, into the standard project structure so story-long-write or story-short-write can continue it. The agent acts as a reverse engineer for novel projects, aiming to rebuild a continuable writing project rather than just analyze the book. It confirms title, genre, platform, length, how to treat unfinished drafts, any external benchmark book and whether to set up the environment, then routes by length to the long-form or short-form analysis pipeline for a deep breakdown stored in an analysis-library folder for the imported book.

When should I use Novel Import and Project Rebuild?

Novel Import and Project Rebuild fits situations like: importing a half-written web novel into a project so you can keep writing; reverse-engineering an outline and chapter structure from a finished manuscript; rebuilding character and plot tracking files for a long novel.

How do I install Novel Import and Project Rebuild in Claude Code?

Run `npx skills add zenstory-ai/oh-story-claudecode --skill story-import -a claude-code`. Or copy the skill folder (skills/story-import in zenstory-ai/oh-story-claudecode) into .claude/skills/story-import in your project. Claude Code loads it when a task matches its description.

How do I install Novel Import and Project Rebuild in Codex?

Run `npx skills add zenstory-ai/oh-story-claudecode --skill story-import -a codex`. Or copy the skill folder (skills/story-import in zenstory-ai/oh-story-claudecode) into .agents/skills/story-import in your project. Codex loads it when a task matches its description.

Can I use Novel Import and Project Rebuild in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zenstory-ai/oh-story-claudecode --skill story-import -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/story-import, .gemini/skills/story-import, .github/skills/story-import and .opencode/skills/story-import in your project.

What does Novel Import and Project Rebuild need to run?

Going by SKILL.md and its folder, Novel Import and Project Rebuild needs Python and JavaScript for the scripts in its folder. Our summary lists: The story-long-analyze and story-short-analyze skills it reuses; A project set up for story-long-write or story-short-write.

Does Novel Import and Project Rebuild access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Novel Import and Project Rebuild safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Novel Import and Project Rebuild use?

Novel Import and Project Rebuild is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Novel Import and Project Rebuild use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 26k tokens, read only when the agent opens those files.

What are the alternatives to Novel Import and Project Rebuild?

Skills that share tags, products or a category with Novel Import and Project Rebuild: InkOS Creative Harness (Narcooo/inkos, 10k stars), Novel Art (eternityspring/shuohao-skills, 4.3k stars), Sepia (Nanako0129/sepia, 3.1k stars) and Novel Characters (eternityspring/shuohao-skills, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Novel Import and Project Rebuild?

zenstory-ai (a GitHub organization) maintains it in zenstory-ai/oh-story-claudecode, which has 7,424 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 10, 2026.

Source: zenstory-ai/oh-story-claudecode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.