Token导航 LogoToken导航

Agent Skill · AI 工具

chapter-drafter(章节起草者)

chapter-drafter 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

chapter-drafter 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 398。

总安装 5,867周安装 252GitHub Stars 67下载 2,056核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:chapter-drafter(章节起草者)
来源仓库:https://github.com/jwynia/agent-skills
仓库路径:skills/chapter-drafter
安装命令:
npx skills add https://github.com/jwynia/agent-skills --skill chapter-drafter
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jwynia/agent-skills --skill chapter-drafter

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

chapter-drafter 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕项目状态进行整理。适用于需要分析代码变更、跟踪协作事项或管理开发进度的场景。

使用时可结合来源仓库和安装命令进一步核验功能细节,建议先查看原始 README。安装前请确认权限范围和维护状态,注意是否涉及文件读写或外部 API 调用。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/chapter-drafter

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jwynia/agent-skills --skill chapter-drafter;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

chapter-drafter 怎么安装?

在终端执行 npx skills add https://github.com/jwynia/agent-skills --skill chapter-drafter。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

chapter-drafter 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

chapter-drafter 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

chapter-drafter 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

chapter-drafter 用的人多吗?

公开数据是累计安装 5,867 次,近一周安装 252 次,下载 2,056 次,GitHub 67 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

chapter-drafter 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
chapter-drafter

章节起草者 · 本页

5,86767权限未标注MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Chapter Drafter: Orchestrator Skill

You autonomously draft and polish chapter scenes through iterative editorial passes. Given an outline, you produce polished first-draft prose by drafting each scene, evaluating it against editorial criteria, and revising until quality thresholds are met.

Core Principle

Orchestration is iteration with hierarchy. Fix structure before character, character before originality, originality before dialogue, dialogue before prose. Don't polish what might be cut; don't revise dialogue in a scene that needs structural rework.


Prerequisites

Before invoking this skill, ensure:

  1. Complete outline exists - Scene beats with goals, conflicts, and intended outcomes
  2. Characters defined - Lie/want/need, voice patterns, arc positions
  3. World established - Setting details sufficient for scene work
  4. Story-sense diagnosis complete - No structural story problems remaining

Do NOT use this skill if:

  • Outline is still in flux
  • Character arcs undefined
  • Story-sense would diagnose structural problems

The Orchestration Loop

FOR each scene in chapter outline:

    1. BUILD CONTEXT
       - Load character voices from previous scenes
       - Load open plot threads
       - Load cliche avoidances
       - Extract scene purpose from outline

    2. DRAFT SCENE
       - Generate initial prose from outline beat
       - Apply character voices
       - Maintain plot thread continuity

    3. EVALUATION LOOP (max 5 cycles)
       │
       ├─► Pass 1: scene-sequencing (35%)
       │   └─► If FAIL: REWRITE scene
       ├─► Pass 2: character-arc (25%)
       ├─► Pass 3: cliche-transcendence (15%)
       ├─► Pass 4: dialogue (15%)
       └─► Pass 5: prose-style (10%)
       │
       Calculate composite score
       │
       ├─► >= 80: ACCEPT
       ├─► 60-79: TARGETED FIX → re-evaluate
       ├─► 40-59: REWRITE → return to draft
       └─► <40: REJECT → full re-draft from outline

    4. POST-ACCEPT
       - Extract character voice patterns → update context
       - Track plot thread changes → update registry
       - Record cliche transcendences → update avoidances
       - Write scene to output
       - Update progress tracker

END FOR

Pass Criteria

Pass 1: Scene-Sequencing (35% weight)

Evaluates Goal-Conflict-Disaster structure and pacing.

CriterionPASSWARNFAIL
Goal clarityPOV goal clear in opening beatsGoal exists but buriedNo discernible goal
Conflict escalationOpposition intensifiesConflict static but presentNo real opposition
Disaster quality"Yes, but..." or "No, and..."Simple "No"Clean "Yes" or no resolution
Sequel presenceReaction-dilemma-decision presentAbbreviated sequelMissing after high-tension
Scene-sequel ratioMatches intended pacingSlight mismatchSeverely mismatched

Critical: If scene-sequencing FAILS, do NOT proceed to other passes. Structural problems invalidate downstream evaluation.

Pass 2: Character-Arc (25% weight)

Evaluates transformation consistency and arc progress.

CriterionPASSWARNFAIL
Lie visibilityFalse belief evident in choicesLie present but unstatedNo lie operative
Want/Need gapClear tension between stated/actualGap exists but unclearWant = Need (no tension)
Arc progressScene advances or challenges arcArc static but consistentCharacter contradicts arc
Transformation markersChoices reflect arc positionPosition unclearActs against personality

Pass 3: Cliche-Transcendence (15% weight)

Evaluates originality via orthogonality test.

CriterionPASSWARNFAIL
Form axisNon-default formSlight variationExactly genre default
Knowledge axisOwn concerns, accidental intersectionSome plot awarenessFully story-serving
Goal axisOwn agenda that collidesGoal connected to plotPurely protagonist-serving
Role axisOwn story that intersectsSomewhat independentExists only for hero
Orthogonality test2+ axes orthogonal1 axis orthogonalAll axes match default

Pass 4: Dialogue (15% weight)

Evaluates voice distinctiveness, subtext, and function.

CriterionPASSWARNFAIL
Voice distinctivenessCharacters distinguishable without tagsSome overlapIdentical voices (D1)
Subtext presenceGap between said and meantOccasional direct statementsEverything on-the-nose (D4)
Double-duty test3+ functions per exchange2 functionsSingle function only (D5)
NaturalnessContractions, interruptions, rhythmSlightly formalWooden/stilted (D2)
Exposition handlingInformation through conflictMinor "as you know"Exposition dump (D3)

Pass 5: Prose-Style (10% weight)

Evaluates sentence-level craft.

CriterionPASSWARNFAIL
Sentence varietyLength and structure varySome variationMonotonous (P4)
ClarityConcrete, clear antecedentsOccasional abstractionUnclear writing (P2)
Voice consistencyDiction level consistentMinor shiftsRandom shifts (P6)
EconomyWords earn placeMinor redundancyOverwrought (P3)
Active voicePassive intentionalSome default passivePassive overuse (P5)

Composite Scoring

Each pass produces a score from 0-100:

  • All PASS = 100
  • Each WARN = -15
  • Each FAIL = -40

Composite = SUM(pass_score × pass_weight)

CompositeOutcomeAction
>= 80ACCEPTScene complete, proceed to next
60-79REVISEFix lowest-scoring pass, re-evaluate
40-59REWRITERegenerate with failure constraints
< 40REJECTFull re-draft from outline

Iteration Limits

LevelLimitOn Exceed
Per-pass3Escalate to rewrite
Per-scene12Accept at threshold 50, flag for review
Per-chapter50Stop, report remaining issues

Diminishing returns detection: If improvement < 10% between iterations, accept current state or escalate.


Context Accumulation

Maintain across scenes:

Character Voices

After each scene, extract and store:

  • Vocabulary patterns per character
  • Sentence rhythm patterns
  • Directness level
  • Verbal tics and avoidances

Use as constraint for subsequent scenes: "Character X speaks like [markers]"

Plot Threads

Track:

  • Open threads - Introduced, not resolved
  • Closed threads - Resolved this chapter
  • Foreshadowing - Planted for future payoff

Each scene checks:

  • No contradiction with established facts
  • Open threads acknowledged or advanced
  • At least one element progresses

Cliche Avoidances

After cliche-transcendence pass, record:

  • Which defaults were avoided
  • How they were transcended
  • New elements that feel fresh

Use as constraint: "Already transcended [X], maintain freshness"


Progress Tracker

Use the progress tracker template to persist state:

## Chapter Progress: [Title]
Started: [timestamp]
Current: Scene [N], Pass [M], Iteration [K]

### Scenes
| Scene | Status | Pass | Iterations | Score | Issues |
|-------|--------|------|------------|-------|--------|

### Context
- Character Voices: [accumulated]
- Plot Threads: [open/closed]
- Cliche Avoidances: [list]

### Change Log
- [timestamp] [change]

Revision Strategy

Targeted Fix (score 60-79)

  1. Identify lowest-scoring pass
  2. Extract specific failure criteria
  3. Generate minimal fix addressing that criterion
  4. Re-evaluate that pass + downstream passes
  5. If pass improves, recalculate composite

Rewrite (score 40-59)

  1. Preserve scene goal from outline
  2. Generate new draft with explicit constraints:

- "Must include clear goal in opening" - "Conflict must escalate" - etc. based on failures

  1. Re-run full evaluation loop

Reject (score < 40)

  1. Return to outline beat
  2. Re-draft from scratch
  3. Treat as new scene (reset iterations)

Conflict Resolution

When fixing one pass breaks another:

  1. Detect: Re-run all passes after any fix
  2. Compare: Did any pass regress?
  3. Prioritize: Higher-weight pass wins ties
  4. Seek synthesis: Can fix satisfy both?
  5. Accept trade-off: If irreconcilable, accept per hierarchy

Escalation: If conflict persists after 2 attempts, flag scene for human review.


Anti-Patterns

The Infinite Polisher

Pattern: Keeps iterating because one criterion is at WARN. Fix: WARN is acceptable. Accept at threshold after iteration limit.

The Pass Skipper

Pattern: Jumps to prose-style when scene-sequencing failed. Fix: Hard gate on structural passes. FAIL blocks progression.

The Context Amnesiac

Pattern: Each scene drafted in isolation, losing voice and threads. Fix: Explicit context loading before each scene draft.

The Cascade Blind Spot

Pattern: Fixes dialogue, doesn't check if prose-style regressed. Fix: Always re-evaluate current pass + downstream after any fix.

The Silent Failer

Pattern: Hits iteration limit, proceeds without documentation. Fix: Log all limit exits with categorized remaining issues.


Output Persistence

Progress Tracker

  • Location: context/chapter-drafter/[chapter]-progress.md
  • Update: After each scene acceptance
  • Purpose: Resume point if interrupted

Scene Output

  • Location: drafts/[story]/[chapter]/scene-[N].md
  • Update: On scene acceptance
  • Purpose: Accumulated draft prose

Context State

  • Location: context/chapter-drafter/[chapter]-context.md
  • Update: After each scene
  • Purpose: Character voices, threads, avoidances

Integration

Inbound (feeds into chapter-drafter)

SkillWhat it provides
outline-collaboratorScene beats with goal-conflict-disaster
character-arcLie/want/need for each character
worldbuildingSetting details for scene work
story-senseConfirmation structure is solid

Outbound (chapter-drafter produces)

OutputNext step
Draft chapterrevision (for full manuscript revision)
Flagged scenesHuman review
Context stateNext chapter drafting

Example Invocation

Input: Chapter outline with 5 scene beats

Process:

  1. Load outline, confirm prerequisites
  2. Initialize progress tracker
  3. For each scene:

- Build context from prior scenes - Draft initial prose - Run evaluation loop - On ACCEPT: extract context, write output

  1. Complete: 5 polished scenes, flagged issues documented

Output:

  • 5 scene files in drafts/[story]/[chapter]/
  • Progress tracker showing all iterations
  • Context file for next chapter
  • List of any flagged issues for human review

平台分布

Claude Code

27.41%
按下载量换算564

OpenCode

24.19%
按下载量换算497

Antigravity

17.9%
按下载量换算368

Gemini CLI

12.76%
按下载量换算262

trae

7.24%
按下载量换算149

Codex

3.41%
按下载量换算70

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

继续浏览同类 Skills