According to AlphaMoat, as of 2026-09, AI研究保存到Obsidian has 1,474 downloads and 0 stars — ranked #4,783 of 5,078 AI skills overall, and #416 of 442 in Knowledge.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 37 | 1.3K | - | - |
| SkillHub ↗ | 222 | 1.5K | - | — |
Platforms count differently and update at different times.
The automated workflow is browser-based AI search, content organization, then saving in Obsidian format. Tools are chosen by content type: Doubao for general questions, Kimi for programming and technical topics, and ChatGPT for English or mixed use. After the question is entered in the browser, it waits for the reply and scrolls down to capture the full content when it is long. Results are organized into Markdown with YAML frontmatter (date, tags), a dated title, formatted content (tables, lists, hierarchy), and source labels, then moved into the vault after locating the local Obsidian library with mdfind or listing the iCloud path and using mv. Notes include preferring Doubao for the best Chinese understanding, keeping Obsidian formatting conventions (frontmatter, heading hierarchy), and asking the user for the vault path when uncertain.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 1.5K | — | - |
| 2026-08 | 1.2K | +6.4% | - |
| 2026-07 | 1.1K | +17.8% | - |
| 2026-06 | 962 | +15.2% | - |
| 2026-05 | 835 | — | - |
| 2026-03 | 502 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- 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 --- # AI 研究保存到 Obsidian 自动化工作流:浏览器 AI 搜索 → 内容整理 → Obsidian 格式保存 ## 工作流程
### 1. 打开 AI 工具
根据内容类型选择:
- **通用问题** → 豆包 (https://www.doubao.com)
- **编程/技术** → Kimi (https://kimi.moonshot.cn)
- **英文/综合** → ChatGPT (https://chat.openai.com)
```bash
browser action=open target=host url="https://www.doubao.com"
```
### 2. 输入搜索内容
在输入框输入用户的问题,点击发送。
### 3. 等待回复
快照获取回复内容。如果内容较长,向下滚动获取完整信息。
### 4. 整理为 Obsidian 格式
创建 Markdown 文件,包含:
- YAML frontmatter(date, tags)
- 标题(标注日期)
- 格式化内容(表格、列表、层级结构)
- 来源标注
### 5. 保存到 Obsidian Vault
查找 Obsidian 路径:
```bash
mdfind "kMDItemFSName == 'Obsidian'" # 查找本地库
ls ~/Library/Mobile\ Documents/iCloud~md~obsidian/Documents/ # iCloud 库
```
移动文件:
```bash
mv <源文件> <Obsidian路径>/
```
## Obsidian 文档模板
```markdown
---
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}}*
```
## 注意事项
- 优先使用豆包(中文理解最好)
- 内容过长时分多次获取
- 保持 Obsidian 格式规范(frontmatter、层级标题)
- 询问用户 Vault 路径(如果不确定)
A summarizer that condenses long text, documents, and web pages into key points and keywords.
Manage notes and knowledge-base content through the IMA OpenAPI.
A required guide for routing web requests to the right tool.
A skill that searches the web through the Baidu AI Search API.
Calls markitdown through uvx to turn many file types into Markdown.
The default web search for OpenClaw, querying several engines in real time.
A skill that searches web pages, news, images, and videos through DuckDuckGo.
A skill that searches for and discovers available OpenClaw skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.