AGENT SKILL

import-to-obsidian

Use when user wants to save web content, articles, videos, or any URL to Obsidian vault. Auto-triggers on keywords like "obsidian", "import", "clip", "save to vault", "知识库", "收藏". Handles URL extraction, auto-classification, tagging, and vault insertion with graph connections.

License 许可
MIT
最近更新
2026-11-01
Stars
★ 3
Forks
1

01 前言 Front Matter

name
import-to-obsidian
description
Use when user wants to save web content, articles, videos, or any URL to Obsidian vault. Auto-triggers on keywords like "obsidian", "import", "clip", "save to vault", "知识库", "收藏". Handles URL extraction, auto-classification, tagging, and vault insertion with graph connections.

03 SKILL.md 正文

Import to Obsidian

Save any web content, video, or text into the Obsidian vault as a structured, tagged note with graph connections.

Vault Path

/Users/adam/Library/Mobile Documents/iCloud~md~obsidian/Documents/Tony

Folders: 前哨/, 中文教学/, 计算机科学/, 数学/, 高考/, 最新资讯/, 剪藏/

Workflow

digraph import {
  "Input" -> "Type?";
  "Type?" -> "URL" [label="URL"];
  "Type?" -> "Text" [label="raw text"];
  "URL" -> "Video?";
  "Video?" -> "yt-dlp subs" [label="YouTube/B站"];
  "Video?" -> "defuddle" [label="web page"];
  "yt-dlp subs" -> "Classify";
  "defuddle" -> "Classify";
  "Text" -> "Classify";
  "Classify" -> "Tag & Frontmatter";
  "Tag & Frontmatter" -> "Write .md to vault";
  "Write .md to vault" -> "Update MOC";
}

Step 1: Extract Content

Web Page (default)

defuddle parse <url> --md -o /tmp/obsidian-import.md

YouTube / Bilibili

# YouTube
yt-dlp --write-auto-sub --sub-lang zh,en --skip-download --convert-subs srt <url> -o /tmp/obsidian-import

# Bilibili
yt-dlp --write-sub --sub-lang zh-Hans --skip-download --convert-subs srt <url> -o /tmp/obsidian-import

Raw Text

Use input directly, no extraction needed.

Step 2: Auto-Classify

Keywords in content Folder
AI, 大模型, agent, LLM, GPT, Claude, DeepSeek 最新资讯
数学, 微积分, 线性代数, 几何, 概率 数学
高考, 考试, 试题, 分数 高考
编程, 代码, 开发, software, CLI, API 计算机科学
中文, 教学法, 语言学习, grammar 中文教学
投资, 股市, 经济, 地缘, 出海 前哨
No match or unclear 剪藏

Step 3: Auto-Tag

Scan title + first 500 chars for these topics and add as frontmatter tags:

AI, 投资, 教育, 数学, 编程, 芯片, 自动驾驶, 电动车, 全球化, 健康, 职业, 创业, 中国, 美国, 物理, 化学, 生物, 哲学, 历史, 经济

Step 4: Write Note

File: <vault>/<folder>/<clean-title>.md

---
source: <url or "manual">
kb: <folder>
date: YYYY-MM-DD
tags:
  - <auto-tag-1>
  - <auto-tag-2>
url: <original-url>
---

# <Title>

<extracted content>

Filename rules:

  • Remove / \ : * ? " < > |
  • Max 90 chars
  • Deduplicate with _1, _2 suffix

Step 5: Update MOC

Append to <folder>-MOC.md:

- [[<filename-without-ext>|<title>]] (YYYY-MM-DD)

Quick Reference

Input Command
/import-to-obsidian <url> Full pipeline
User says "save to obsidian" + URL Auto-trigger
User says "收藏这个" + URL Auto-trigger
User says "导入obsidian" Auto-trigger
Raw text + "存到obsidian" Save as note

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