oh-story-claudecode-writing（OH story claudecode writing 搜索）

oh-story-claudecode Writing Skill

Skill by ara.so — Daily 2026 Skills collection.

A comprehensive Chinese web novel (网文) writing skill pack for AI coding agents, covering the full pipeline: market scanning (扫榜), novel analysis (拆文), writing (写作), and AI-style removal (去AI味) for both long-form and short-form fiction.

What This Project Does

oh-story-claudecode provides structured Claude Code / OpenClaw skills that guide AI agents through every stage of professional web novel production:

1. 扫榜 (Market Scan) — Analyze trending titles on 起点, 番茄, 晋江, 知乎盐言
2. 拆文 (Novel Analysis) — Deconstruct golden chapters, pacing, hooks, emotional arcs
3. 写作 (Writing) — Generate outlines, character sheets, chapter drafts with platform-specific style
4. 去AI味 (De-slop) — Detect and remove AI writing artifacts, banned word lists, rewrite examples

Installation

Via Claude Code / OpenClaw

Feed the repo URL to Claude Code or OpenClaw and say "安装这个 skill":

https://github.com/worldwonderer/oh-story-claudecode

Via CLI

npx skills add worldwonderer/oh-story-claudecode -y

To update, re-run the same command.

Available Skills & Triggers

Project File Structure

Writing content is managed on the filesystem, not accumulated in conversation context.

Long-form Novel (长篇)

{书名}/
├── 设定/
│   ├── 世界观/          # 背景设定、力量体系（按主题拆文件）
│   ├── 角色/            # 每个人物一个文件（沈栀.md、陆衍止.md）
│   └── 势力/            # 每个势力/组织一个文件（天机阁.md）
├── 大纲/
│   ├── 大纲.md          # 全书卷级结构
│   ├── 细纲_第001章.md  # 每章一个章纲，与正文一一对应
│   └── ...
├── 正文/
│   ├── 第001章_章名.md
│   └── ...
└── 笔记.md

Short-form Story (短篇)

{标题}/
├── 设定.md
├── 正文.md
└── 笔记.md

Key Workflows

Workflow 1: Start a Long-form Novel from Scratch

# 1. Scan the market for trending topics
/story-long-scan

# 2. Analyze a top-performing novel
/story-long-analyze

# 3. Begin writing with outline scaffolding
/story-long-write

Example agent interaction:

User: 帮我开书，都市赘婿题材，起点男频

Agent triggers: story-long-write
→ Generates: 书名/设定/世界观/都市背景.md
→ Generates: 书名/设定/角色/主角.md
→ Generates: 书名/大纲/大纲.md  (五步大纲法, 卷级结构)
→ Generates: 书名/大纲/细纲_第001章.md
→ Generates: 书名/正文/第001章_重生归来.md

Workflow 2: Analyze an Existing Novel

/story-long-analyze
# Paste chapter text or provide file path
# Agent returns: 黄金三章分析, 爽点密度, 钩子类型, 节奏评分

Workflow 3: Write and Polish a Short Story

# Write
/story-short-write
# Input: genre, emotional arc template, word count target

# Remove AI artifacts
/story-deslop
# Input: draft text file path
# Output: rewritten version with AI-style markers removed

Workflow 4: Scrape Market Data with Browser CDP

/browser-cdp
# Reuses existing browser login session via CDP protocol
# Scrapes 起点/番茄/晋江/知乎盐言 ranking pages without re-login

Shell Script Examples

Initialize a novel project directory

#!/bin/bash
# init_novel.sh - Bootstrap long-form novel file structure

BOOK_NAME="${1:-我的新书}"

mkdir -p "${BOOK_NAME}/设定/世界观"
mkdir -p "${BOOK_NAME}/设定/角色"
mkdir -p "${BOOK_NAME}/设定/势力"
mkdir -p "${BOOK_NAME}/大纲"
mkdir -p "${BOOK_NAME}/正文"

# Create starter files
cat > "${BOOK_NAME}/笔记.md" << 'EOF'
# 创作笔记

## 核心爽点
-

## 读者画像
-

## 竞品参考
-

## 待办
- [ ] 完成世界观设定
- [ ] 完成主角角色卡
- [ ] 完成第一卷大纲
EOF

cat > "${BOOK_NAME}/大纲/大纲.md" << 'EOF'
# 全书大纲

## 核心矛盾

## 第一卷：（卷名）
- 起：
- 承：
- 转：
- 合：

## 第二卷：（卷名）

## 结局方向
EOF

echo "✅ 项目目录已创建: ${BOOK_NAME}/"
echo "📁 结构:"
find "${BOOK_NAME}" -type f | sort

Batch process chapters for de-slop

#!/bin/bash
# deslop_batch.sh - Run de-slop on all chapter files

BOOK_DIR="${1:-.}"
OUTPUT_DIR="${BOOK_DIR}/精修"

mkdir -p "${OUTPUT_DIR}"

for chapter in "${BOOK_DIR}/正文"/*.md; do
  filename=$(basename "${chapter}")
  echo "🔍 处理: ${filename}"

  # Invoke story-deslop skill on each file
  # Agent reads chapter, applies three-pass de-slop method, writes output
  cp "${chapter}" "${OUTPUT_DIR}/${filename}"
  echo "  → 输出: ${OUTPUT_DIR}/${filename}"
done

echo "✅ 批量去AI味完成，共处理 $(ls ${BOOK_DIR}/正文/*.md | wc -l) 章"

Check chapter word count targets

#!/bin/bash
# wordcount.sh - Report word counts for all chapters

BOOK_DIR="${1:-.}"
TARGET="${2:-3000}"  # Default target: 3000 chars per chapter

echo "📊 章节字数统计 (目标: ${TARGET} 字)"
echo "================================"

total=0
for chapter in "${BOOK_DIR}/正文"/*.md; do
  filename=$(basename "${chapter}")
  count=$(wc -m < "${chapter}")
  total=$((total + count))

  if [ "${count}" -lt "${TARGET}" ]; then
    echo "⚠️  ${filename}: ${count} 字 (不足目标)"
  else
    echo "✅ ${filename}: ${count} 字"
  fi
done

echo "================================"
echo "📖 总计: ${total} 字 | 平均: $((total / $(ls ${BOOK_DIR}/正文/*.md | wc -l))) 字/章"

Knowledge Base (References)

Each skill auto-loads relevant knowledge from references/ — only what's needed for the current task:

Supported Platforms

Common Patterns

Pattern 1: Market-to-Draft Pipeline

/story-long-scan     → identify trending genre + tropes
/story-long-analyze  → paste top 3 chapters of a competitor novel
/story-long-write    → generate outline aligned with market gaps

Pattern 2: Revision Loop

Draft chapter → /story-deslop → human review → /story-deslop (second pass)

Pattern 3: Skip Prep, Jump to Writing

If you already have a direction, skip scanning and analysis:

User: 我已经有设定了，帮我直接写第一章

Agent: triggers story-long-write with --skip-prep flag
→ Reads existing 设定/ files
→ Generates 大纲/细纲_第001章.md
→ Generates 正文/第001章_*.md

Pattern 4: Short Story with Emotional Arc

/story-short-write
→ Select arc template (e.g., "跌入深谷后反弹" / "平稳中突转")
→ Agent scaffolds: 设定.md → 正文.md (with embedded hook + reversal)
→ /story-deslop on 正文.md

Troubleshooting

Skill not triggering

• Ensure install completed: npx skills add worldwonderer/oh-story-claudecode -y
• Try explicit slash command: /story-long-write instead of natural language
• Re-run install to pull latest version

Browser CDP not connecting

• Ensure Chrome/Chromium is running with remote debugging enabled: google-chrome --remote-debugging-port=9222 --user-data-dir=/tmp/chrome-debug
• Check CDP endpoint: curl http://localhost:9222/json/version
• The skill reuses your existing login session — log into the platform manually first

Output files not being created

• Verify the agent has write permissions to the working directory
• Check that the book name doesn't contain special characters that break directory creation
• Use the init script to pre-create the directory structure

AI artifacts still present after de-slop

• Run /story-deslop a second time (三遍去AI法 = three-pass method)
• Provide specific examples of AI-sounding phrases for the agent to target
• Check references/禁用词表 is loaded — mention it explicitly if needed

Chapter too short / pacing issues

• Use /story-long-analyze on your own draft to get density scores
• Request "扩写" (expand) with specific scene types: "扩写打斗场景至3000字"
• Reference the 节奏分析 knowledge module explicitly

Full Pipeline Example

# Step 1: Initialize project
bash init_novel.sh "天机阁传说"
cd "天机阁传说"

# Step 2: Market research (agent scans 起点 male fantasy rankings)
# /story-long-scan → saves market notes to 笔记.md

# Step 3: Analyze a competitor (paste 3 chapters into agent)
# /story-long-analyze → appends findings to 笔记.md

# Step 4: Generate full outline + first chapter
# /story-long-write → creates 设定/, 大纲/, 正文/第001章.md

# Step 5: Continue chapter by chapter
# /story-long-write → reads existing files, generates next chapter

# Step 6: Polish
# /story-deslop → rewrites 正文/*.md removing AI artifacts

# Step 7: Word count check
bash wordcount.sh . 3000