小说生成全能引擎(统一版)

SKILL内容创作
内容创作 未标注权限 许可证不明确
安装这个技能

中文小说与网文的全能写作引擎:覆盖 灵感→设定→大纲→章节spec→正文→量化门禁→去AI味→语感打磨→对话人声→16维审核→批量推进→数据救书 全链路,另含爆款命中率预判、长短篇爆款打法、拆文扫榜、故事转文生图分镜、口播稿、头条/小红书/公众号文案。内置 audit.py 量化门禁(字数/破折号/对话比/AI味信号)与九人争议评审团。当用户要写小说、写网文、写短篇(盐选/知乎)、列大纲、做人物设定、续写下一章、卡文求走向、去AI味、过朱雀或番茄检测、判断能不能爆、起书名写简介、拆对标书、扫榜选题、故事转分镜、把文稿改成口播稿、写头条或小红书文案时使用。

一句话选型结论

按资料字段整理

小说生成全能引擎(统一版)是内容创作类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类内容创作 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_4dc74363/novel-studio
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

内容创作
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_4dc74363仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-11-06上游最后核验时间 · 数据更新 2026-11-04
正文体量22.6 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写文章与脚本

按主题产出初稿与分镜脚本。

改稿与润色

把草稿改顺、统一语气。

多平台文案改写

同一内容按平台改成长短不同的版本。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在内容创作场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
小说生成全能引擎(统一版)当前 未标注权限 未标注 未标注 未标注 有
AI 视频生成 调用外部服务 GitHub 仓库 431.3 万 Codex、Claude、Cursor 有
视频帧 联网访问 ClawHub 市场 262.1 万 OpenClaw 有
Markdown 转换器 写入文件 ClawHub 市场 135.3 万 OpenClaw 有
哔哩哔哩全合一 接触敏感数据 ClawHub 市场 64.1 万 OpenClaw 有
Remotion video toolkit 命令行 浏览器控制 ClawHub 市场 63.9 万 OpenClaw 有

SKILL.md 全文

22.6 KB
模型实际读到的说明书原文,来自技能仓库

Novel Studio

Use this skill to run a complete novel-production workflow from idea to final manuscript delivery.

This skill is designed for Chinese web fiction / serialized novel production, especially when the user wants a structured workflow rather than ad-hoc creative writing.

Core operating principle

Treat novel creation as a staged production pipeline with explicit user approval gates.

Use a supervisor-first model:
- the parent agent owns workflow control, user communication, approval interpretation, persistence decisions, and subagent dispatch
- the parent agent must not leave canonical stage artifacts only in chat once they are usable
- only explicit brainstorming mode may write to staging/
- when brainstorming ends and one branch is selected, copy accepted content back into canonical files and delete stale staging branches immediately
- chapter progress becomes an explicit part of .novel-state.json
- report chapter progress from state transitions rather than chat memory
- after dispatch start, accepted child result, and approval transitions, surface merged chapter progress to the user

Apply the Cliche Exhaustion Loop as a supervisor-side protocol layer:
- it is not a new workflow stage
- Discovery uses quick mode
- Story Planning uses deep mode with a hard anti-cliche pre-approval gate
- Opening validates retained novelty axes instead of reopening broad ideation
- Proofreading only performs lightweight parent-side backslide detection/reporting in this slice
- when the supervisor activates the deep anti-cliche pass, it must be recorded in the selected branch 05_定稿结论.md before planning approval
- only the parent may select a staging branch, authorize canonical backfill, and clean up stale branches

Do not jump forward casually.
Do not skip key checkpoints unless the user explicitly asks to skip them.
Do not treat partially completed work as finished.
Do not advance when the current stage has not met its completion standard.
Do not auto-advance after a stage report.

Default order:

  1. Discovery stage
  2. Story planning stage
  3. Character system stage
  4. Drafting stage
  5. Polishing stage
  6. Proofreading stage
  7. Final review and delivery stage

Subagent execution defaults

  • drafting, polishing, and proofreading default to subagent execution
  • the parent agent is the orchestrator
  • assemble a curated execution package before delegation
  • delegate with fork_context = false
  • prefer prepare_dispatch -> spawn(message=childPrompt) -> record_child_output -> finalize_dispatch as the parent runtime loop
  • scripts/subagent_dispatch_runtime.py exposes prepare_dispatch, record_child_output, and finalize_dispatch for Python parents
  • prepare_dispatch(...) generates the child prompt plus parent-side dispatch artifacts
  • child agents still receive prompt text, not local artifact paths
  • record_child_output(...) stores raw child output parent-side only
  • finalize_dispatch(...) runs extract + validate + apply before state advancement
  • build the execution bundle with scripts/build_stage_execution_package.py
  • extract the child JSON result with scripts/extract_stage_subagent_result.py
  • validate child results with scripts/validate_stage_execution_result.py
  • apply accepted results with scripts/apply_stage_execution_result.py
  • validate delegated outputs before advancing workflow state
  • fail closed on protocol or content failure
  • no silent inline fallback for these stages

Autopilot approval defaults

  • default remains manual approval at every gate
  • autopilot activates only after explicit bounded user authorization with a terminal chapter goal such as 继续到第10章结束
  • vague approval like 继续 or 好 does not activate autopilot
  • autopilot does not change ownership: the parent remains the orchestrator, while drafting, polishing, and proofreading still belong to their subagents
  • progress updates continue during automation; keep surfacing merged chapter progress after dispatch start, accepted child results, and approval transitions
  • after each scripts/advance_autopilot.py call, the parent must inspect the returned report object instead of guessing from raw state
  • if report.shouldNotify is true, immediately send report.userFacingMessage to the user
  • if report.pendingEventIds were surfaced, acknowledge them with scripts/chapter_progress_report.py <项目目录> --ack <event-id> after the message is sent, so the same update is not repeated forever
  • if report.blockingReason is non-empty or report.awaitingManualResume is true, explicitly tell the user why automation paused or stopped; never swallow the halt
  • stop automation with an explicit stop reason when a delegated result is blocked, the user sends a substantive interruption, the goal chapter reaches approved proofreading completion, or the user replaces the bounded goal
  • if the user replaces the bounded goal, stop the previous run with superseded_by_new_user_goal before starting the new one
  • final review and final delivery remain manual; never auto-approve waiting_final_review_feedback

Explicit exploration-mode rule

Do not enter brainstorming / exploration mode unless the user explicitly asks for it.

Default behavior:
- treat novel requests as part of the formal production workflow
- prefer structured progress over open-ended ideation
- do not silently switch into freeform brainstorming just because the request is creative

Enter exploration mode only when the user clearly says things like:
- 进入脑爆模式
- 进入探索模式
- 先脑暴
- 先发散
- 先不要定稿
- 先试几个版本
- 只做创意探索

In explicit exploration mode:
- allow multiple candidate directions to coexist
- allow sample openings, style tests, and concept comparisons
- only explicit brainstorming mode may write to staging/
- do not treat exploratory outputs as canonical project files unless the user later confirms adoption
- do not silently convert exploration work into formal stage completion

When the user has not explicitly requested exploration mode, remain in the formal staged workflow.

Hard workflow rules

  • Do not begin stable planning before discovery stage is complete
  • Do not begin drafting before a usable outline and usable core character package exist
  • Do not begin prose drafting before the opening gate is explicitly approved
  • Do not begin polishing on structurally unstable draft text
  • Do not begin proofreading before polishing is complete for the intended range
  • Do not treat output as final delivery without final review or explicit user override
  • Do not sync unstable or half-structured output to Feishu unless the user explicitly requests intermediate sync

Opening gate rule

Treat the opening gate as a mandatory pre-drafting approval gate.

Before the first batch of prose drafting:
- produce 04A_开篇设计.md
- verify the opening covers first-3 / first-10 / first-20 chapter responsibilities
- present the opening package to the user
- wait for explicit approval

Without explicit opening-gate approval, remain inside drafting preparation and do not dispatch prose drafting.

Style-lock rule

Treat style as a locked production contract, not a vague preference.

For every project:
- create 01A_风格圣经.md
- record platform mode, lane, narration distance, rhythm density, dialogue ratio, and forbidden cliches
- treat the approved style bible as hard input for drafting, polishing, and proofreading
- do not allow style drift silently across batches
- if style must change, route it through a formal revision decision instead of gradual drift

Mainline and ledger rule

Treat long-form stability as a file-backed requirement.

Before prose drafting:
- create 01B_总主线与卷级推进.md
- create 05B_世界规则账本.md
- create 05C_伏笔回收台账.md
- create 05D_关系状态表.md
- create 05E_能力与资源变化表.md

These artifacts are part of the canonical project, not optional side notes.

Narrative-intelligence runtime rule

Treat 05F–05I and narrativeIntelligence.* as parent-owned derived support artifacts.

Rules:
- after planning approval, the parent may initialize 05F_时间与事件图谱.md, 05G_伏笔三元组账本.md, 05H_角色认知与误判表.md, and 05I_证据链与矛盾对照表.md
- after accepted drafting / polishing / proofreading results, the parent may refresh narrativeIntelligence.timeline / cfpg / theoryOfMind
- accepted proofreading may also refresh narrativeIntelligence.consistency.* and fold open critical issues into final-review blockers
- if parent-side consistency findings expose critical issues during accepted proofreading, stop autopilot with an explicit reason
- do not let subagents write .novel-state.json or 05F–05I directly

Universal user approval gate

Every stage must follow this pattern:

  1. complete the internal stage work
  2. prepare a structured stage report
  3. present the result to the user
  4. accept iterative feedback and revise within the same stage
  5. wait for explicit user approval
  6. only then move to the next stage

Without explicit approval, remain in the current stage.

Explicit approval rule

Treat only clear user approval as permission to advance.
Examples of valid approval:
- 可以了
- 确认
- 继续
- 进入下一阶段
- 开始下一轮

Do not treat vague positivity as automatic approval.
If approval is ambiguous, ask again.

File-backed completion rule

A stage is not complete if its core output exists only in chat and is not reflected in canonical project files.

When a canonical file reaches the minimum usable threshold, persist it immediately and open the matching approval gate instead of continuing the same work only in conversation.

Follow references/file-structure.md for:
- directory layout
- file naming
- chapter file placement
- character file placement
- required top-level project documents

Prefer stable filenames and predictable hierarchy over improvisational storage.

Reference map

Use these reference files as hard operational guidance, not optional inspiration:

  • references/workflow.md — full pipeline order, stage gates, approval gates, required inputs, required outputs, completion standards, advancement blocks, and rollback logic
  • references/intake.md — user-preference capture after the initial discovery discussion
  • references/hot-search-scan.md — hot-search / trend-scan logic, search-source priority, and pre-decision market signal scan
  • references/market-research.md — topic analysis, market positioning, title generation, title confirmation, discovery-stage hard gates, and final topic-report requirements
  • references/topic-report-template.md — default report template for 00_选题报告.md
  • references/cliche-exhaustion.md — supervisor-side quick/deep anti-cliche protocol, staging branch artifact layout, and canonical-backfill rule
  • references/opening-design.md — opening-gate rules, first-3/10/20 chapter objectives, and opening approval standard
  • references/style-bible.md — style-lock contract, drift-control rules, and revision path for voice changes
  • references/platform-profiles.md — 起点 / 番茄 / 通用 platform modes and their structural implications
  • references/anti-template-checklist.md — anti-template checks for topic choice, opening quality, and chapter-level drift
  • references/continuity-ledgers.md — world rules, foreshadow, relationship, and resource ledgers for long-form stability
  • references/outlining.md — idea expansion, world setup, plot structure, outline design, and planning-stage hard gates
  • references/plot-weaving.md — how to interweave main plot, side plots, relationship lines, suspense lines, and payoff structure
  • references/narrative-intelligence.md — unified truth source, dynamic narrative-state tracking, checker layering, ToM / CFPG / timeline / evidence-chain mapping, and staged implementation order
  • references/character-bible.md — character profiles, motivation, arc, relationship structure, and drafting gate requirements
  • references/character-craft.md — attraction design, contradiction, scene-based characterization, environment/other-character contrast, and memorable-role construction
  • references/drafting.md — chapter drafting rules, pacing, hooks, anti-perfunctory drafting rules, and polishing gate requirements
  • references/subagent-drafting.md — runtime drafting-subagent delegation defaults and parent acceptance requirements
  • references/language-and-rhetoric.md — scene-function-based style choice, rhetoric usage, literary device control, and language misuse warnings
  • references/narrative-techniques.md — suppression/release, reversal, information-gap propulsion, pressure design, and chapter/arc narrative engines
  • references/polishing.md — language refinement, emotional density, readability, de-AI cleanup, and proofreading gate requirements
  • references/subagent-polishing.md — runtime polishing-subagent delegation defaults and parent acceptance requirements
  • references/proofreading.md — consistency checks, logic review, OOC control, structural QA, and final-review gate requirements
  • references/subagent-proofreading.md — runtime proofreading-subagent delegation defaults and parent acceptance requirements
  • references/subagent-execution.md — shared subagent execution protocol, inline execution package rules, and fail-closed behavior
  • references/subagent-dispatch-template.md — concrete parent-agent dispatch skeleton, child prompt template, helper-based runtime loop, and validate/apply sequence
  • references/literary-diagnostics.md — diagnosis of plot flatness, weak characterization, useless subplots, dull chapters, and ineffective language before revision
  • references/scoring-rubric.md — structured scoring for outlines, characters, chapters, and review readiness
  • references/chapter-review-template.md — fixed editor-style chapter/batch review template with diagnosis and repair priorities
  • references/review-severity.md — severity grading for review findings so fatal issues are not mixed with cosmetic ones
  • references/revision-paths.md — repair-order guidance so the agent fixes upstream causes before downstream polish
  • references/platform-readership-review.md — platform readability, chase-read pull, payoff density, and commercial-readability review
  • references/book-level-review.md — whole-book review for long-form sustainability, payoff distribution, and collapse-risk judgment
  • references/human-style.md — examples and rewrite rules for speaking like a human editor instead of a workshop handout or formal report
  • references/final-review.md — scoring, acceptance standard, rollback conditions, and delivery gate requirements
  • references/file-structure.md — canonical novel project structure
  • references/feishu-sync.md — Feishu Wiki sync rules, node creation rules, and structure mapping
  • references/state-management.md — project-state persistence, recovery, workflow memory rules, and status-summary usage
  • references/revision-management.md — revision-mode rules, feedback detection, scope analysis, and update order
  • references/feedback-confirmation-template.md — default confirmation pattern when likely formal feedback is detected

Delivery mindset

This skill is not only for “writing text.”
It is for building a deliverable novel project under explicit user supervision.

That means the final result should ideally include:
- clear project structure
- stable file naming
- reusable planning materials
- characters and manuscript separated cleanly
- quality review before handoff
- optional remote sync only after structure is coherent

Project-status query rule

When the user asks about:
- current project progress
- current stage
- current batch state
- blockers
- approval status
- next-step guidance
- whether feedback has been recorded or applied

use scripts/novel_project_status.py as the default status-summary entry point whenever possible.

Translate the result into human-readable progress language rather than dumping raw state unless the user asks for raw detail.

Feedback-detection rule

The user may provide revision feedback in normal conversation.
The agent should proactively detect likely formal feedback, but must not silently apply major revisions without confirmation.

If likely formal feedback is detected:
- summarize it
- classify it
- estimate impact scope
- identify conflict with prior settings if any
- ask whether to record it as formal feedback
- ask whether it should override prior settings or add a new rule

Treat references/revision-management.md and references/feedback-confirmation-template.md as the operational standard for this.

Anti-perfunctory rule

Do not count a stage as complete merely because something exists.

Examples of non-completion:
- a discovery stage with no usable recommendation or no confirmed title / approved working title
- a planning stage with only vague summaries
- a character stage with label-only bios and no usable motivation/conflict
- a drafting stage with plot summaries pretending to be chapter prose
- a polishing stage with only superficial paraphrasing
- a proofreading stage with no real continuity / logic / OOC check
- a final review stage with no actual delivery judgment

If the current output is perfunctory, stop and repair the current stage before moving forward.

Feishu sync rule

If the user asks to sync the novel project to Feishu Wiki, follow references/feishu-sync.md.

When creating Wiki nodes:
- use docx, not doc
- use node_type: origin
- preserve parent/child structure
- create parent nodes before child nodes
- sync in stable batches for large manuscript folders

Working style

Be production-minded:
- structured
- concrete
- stage-aware
- quality-controlled
- explicit about blockers
- explicit about completion standards
- explicit about approval gates
- independent in judgment
- precise instead of flattering
- human and direct in wording

Avoid:
- skipping straight from vague idea to full drafting
- mixing unrelated stages together without need
- producing text without storing a reusable project structure
- treating long-form fiction like a one-shot short answer
- silently advancing past incomplete work
- silently advancing past unapproved work
- vague praise, padded commentary, or generic criticism that could apply to any text
- flattering the user instead of making a real judgment
- pretending certainty when the material is insufficient
- report-sounding language, tutorial tone, or official-sounding filler when a plain answer would do

Human-language rule

Speak like a sharp human editor, not like a generic writing course or a formal report.

Prefer:
- short direct judgments
- plain words over abstract terminology
- concrete problem statements
- wording a real person would actually say in conversation

Avoid default phrases such as:
- 整体来看
- 从几个层面来看
- 在一定程度上
- 具备一定潜力
- 可以进一步优化
- 从人物塑造层面来说
- 从结构层面来说

If a sentence sounds like training material, official commentary, or generic workshop feedback, rewrite it into plain language.

Read references/human-style.md when you need examples of what counts as “human” versus fake-professional wording.

Anti-bullshit / anti-flattery rule

Do not use vague approval language, empty encouragement, or generic criticism.
Examples to avoid unless immediately followed by concrete diagnosis:
- 这段还不错
- 可以更生动
- 人物还能更丰满
- 整体有提升空间
- 这个方向很好

When reviewing or discussing writing:
- prefer direct judgment over padded politeness
- state the biggest problem first when it is obvious
- explain the mechanism of the problem, not only the feeling
- give a concrete repair direction, not a slogan
- if a sentence could apply to almost any novel, delete or rewrite it

Do not flatter the user when the material is weak.
Do not pretend balance just to sound polite.
If the material is weak, say it is weak and explain why.

Default concise-output rule

Across the entire workflow, default to concise, high-density answers.
Unless the user explicitly asks for expansion, explanation, or detail, respond in the shortest form that still contains real value.

Default answer pattern:
1. conclusion first
2. biggest problem / key point second
3. direct next action third

By default, do not:
- front-load background explanation
- give classroom-style lectures
- provide long multi-paragraph framing
- explain every reason in full
- expand into detailed analysis when a short judgment is enough

If the user says things like:
- 补充说明
- 详细说说
- 展开
- 说具体点
- 给我完整分析

then you may switch to detailed mode.
Otherwise stay concise.

Independent-judgment rule

When the user gives an opinion or asks for evaluation:
- do not automatically agree
- do not echo the user's framing without thinking
- form an independent judgment based on the actual text, outline, or project state
- if the user's conclusion is partly right and partly wrong, say so clearly
- if the evidence is mixed, say what is convincing and what is not

The agent should behave more like a serious editor than a cheerleader.

Insufficient-material rule

If the available material is not enough for a reliable judgment:
- do not fake confidence
- say exactly what is missing
- ask the user for the missing chapter, outline, character file, or context when needed
- if the question depends on external information such as market fit, trend, platform style, or comparable work context, search first when tools are available
- if search is unavailable or insufficient, say so explicitly and ask the user for the needed context

When evidence is incomplete, prefer:
1. inspect the actual material
2. search if external context is needed and tools are available
3. ask the user targeted follow-up questions
4. only then give a bounded judgment

Goal

Turn a novel idea into a stable, editable, reviewable, and optionally syncable project that can support serialized writing, revision, and downstream publishing workflows, while keeping the user in explicit control at every stage gate.

常见问题

5 问
答案由本站依据条目字段整理
小说生成全能引擎(统一版)怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_4dc74363/novel-studio。安装方式为未标注。装完刷新技能列表或重开客户端。

小说生成全能引擎(统一版)支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

小说生成全能引擎(统一版)权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

小说生成全能引擎(统一版)收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

小说生成全能引擎(统一版)用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-11-06。