菜单
用 AI 工具（豆包/Kimi/ChatGPT）搜索问题并将结果整理保存为 Obsidian 文档。触发场景：(1) 用户要求用 AI 搜索问题 (2) 用户要求浏览器搜索并保存到 Obsidian (3) 用户说"帮我查一下"并提到保存到笔记/文档/Obsidian
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Skill for interacting with the Lean-Claw Arena to prove math theorems using Lean 4.
"PDF to Markdown - PDF文本转Markdown工具. Use when you need pdf to markdown capabilities. Triggers on: pdf to markdown."
"Short Drama Writer. Use when you need short drama writer capabilities. Triggers on: short drama writer."
Personal knowledge base for capturing and retrieving information about people, places, restaurants, games, tech, events, media, ideas, and organizations. Use when: user mentions a person, place, restaurant, landmark, game, device, event, book/show, idea, or company. Trigger phrases: "remember", "note that", "met this person", "visited", "played", "what do I know about", etc. Brain entries take precedence over daily logs for named entities.
Analyze any GitHub repository in AI-friendly format. Convert entire repos to single markdown documents, generate architecture diagrams with Mermaid, inspect structure trees, language breakdowns, and recent activity. Includes GitHub URL tricks, API shortcuts, and advanced search techniques. Read-only analysis — never executes code from repositories. Built for AI agents — Python stdlib only, no dependencies. Use for repository analysis, code architecture review, open source research, GitHub intelligence, repo documentation, and codebase understanding.
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.
| name | ai-research-to-obsidian |
| description | 用 AI 工具（豆包/Kimi/ChatGPT）搜索问题并将结果整理保存为 Obsidian 文档。触发场景：(1) 用户要求用 AI 搜索问题 (2) 用户要求浏览器搜索并保存到 Obsidian (3) 用户说"帮我查一下"并提到保存到笔记/文档/Obsidian |
自动化工作流：浏览器 AI 搜索 → 内容整理 → Obsidian 格式保存
根据内容类型选择：
browser action=open target=host url="https://www.doubao.com"
在输入框输入用户的问题，点击发送。
快照获取回复内容。如果内容较长，向下滚动获取完整信息。
创建 Markdown 文件，包含：
查找 Obsidian 路径：
mdfind "kMDItemFSName == 'Obsidian'" # 查找本地库
ls ~/Library/Mobile\ Documents/iCloud~md~obsidian/Documents/ # iCloud 库
移动文件：
mv <源文件> <Obsidian路径>/
---
date: {{DATE}}
tags: [{{TAGS}}]
---
# {{TITLE}} | {{DATE}}
> 来源：{{AI_SOURCE}}
## 核心要点
- 要点1
- 要点2
## 详细内容
### 模块1
内容...
---
*文档生成日期：{{DATE}}*