القائمة
使用AI辅助写作的OpenClaw技能，可以根据提示词生成书籍大纲并逐级扩写内容，支持添加公式、图表、代码等元素。适用于学术著作、技术书籍、小说等多种类型的创作。
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
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Auto-generated frontmatter
Perform a dual-mode deep reading of any academic paper provided as a PDF attachment or URL. Use this skill when the user requests analysis, close reading, interpretation, or summarization of a scholarly paper. Produce two reports in a single pass: Part A is a rigorous in-depth academic analysis for researchers; Part B distills the core logic and essential value for rapid comprehension.
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search research about", "download academic articles", "get citations for", or any request involving academic databases like arXiv, PubMed, Semantic Scholar, or Google Scholar. Also use for literature reviews, bibliography generation, and research discovery. Requires OpenClawCLI installation from clawhub.ai.
Ad intelligence & app analytics assistant. Search ad creatives, analyze apps, view rankings, track downloads/revenue, and get market insights. Get your API key at https://www.admapix.com. Triggers: 找素材, 搜广告, 广告素材, 竞品分析, 广告分析, 排行榜, 下载量, 收入分析, 市场分析, 投放分析, App分析, 出海分析, search ads, find creatives, ad spy, ad analysis, app ranking, download data, revenue, market analysis, app intelligence, competitor analysis, ad distribution.
OpenClaw skill for the agent-browser CLI (Rust-based with Node.js fallback) enabling AI-friendly web automation with snapshots, refs, and structured commands.
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
| name | book-writer |
| description | 使用AI辅助写作的OpenClaw技能，可以根据提示词生成书籍大纲并逐级扩写内容，支持添加公式、图表、代码等元素。适用于学术著作、技术书籍、小说等多种类型的创作。 |
这是一个功能完整的AI辅助写作技能，能够根据用户提供的提示词生成书籍大纲，并逐级扩写各章节内容，支持在内容中插入公式、图表、表格和代码等元素。
# 进入技能目录
cd book-writer
# 安装依赖
python scripts/install_dependencies.py
# 设置环境变量
export OPENAI_API_KEY="your_openai_api_key"
export GOOGLE_CSE_ID="your_google_cse_id" # 用于搜索素材
export GOOGLE_API_KEY="your_google_api_key" # 用于搜索素材
# 生成大纲
python scripts/book_writer.py --action outline --prompt "机器学习入门教程"
# 扩写前三章
python scripts/book_writer.py --action expand --book-path "ml_intro_tutorial" --chapters 1,2,3
scripts/book_writer.py)主生成模块，负责协调整个书籍生成流程。
主要功能:
使用方法:
from scripts.book_writer import BookWriter
writer = BookWriter()
# 生成大纲
outline = writer.generate_outline("深度学习理论与实践")
# 扩写内容
book = writer.expand_book(outline, max_chapters=3)
# 保存书籍
writer.save_book(book, "deep_learning_book")
scripts/content_optimizer.py)优化生成的内容质量。
主要功能:
scripts/material_searcher.py)从网络搜索相关素材。
主要功能:
config.yaml)# API配置
openai:
api_key: ${OPENAI_API_KEY}
model: gpt-4o
max_tokens: 4000
temperature: 0.7
# 搜索API配置
google:
cse_id: ${GOOGLE_CSE_ID}
api_key: ${GOOGLE_API_KEY}
# 书籍生成默认参数
defaults:
max_chapters: 10
max_sections_per_chapter: 5
content_length: "medium" # short, medium, long
include_formulas: true
include_code: true
include_figures: true
include_tables: true
# 存储设置
storage:
output_dir: "generated_books"
temp_dir: "temp_files"
max_storage_gb: 10
python scripts/book_writer.py --action outline --prompt "Python Web开发实战指南" --output my_web_dev_book
python scripts/book_writer.py --action expand --book-path my_web_dev_book --chapters 1,2,3 --include-code true
python scripts/book_writer.py --action full --prompt "量子计算基础理论" --chapters 3 --include-formulas true --citation-style "apa"
将整个 book-writer 目录复制到 OpenClaw 的技能目录中即可使用。
本技能使用MIT许可证。详见项目根目录的LICENSE文件。