multimedia-to-obsidian
将任意多媒体文档导入 Obsidian 知识库。支持 PPT、PDF、DOCX、图片等格式，自动提取每一页/每一张图片，使用多模态模型理解内容，生成文字描述后存入 OB。适用于：(1) 整理培训课件 (2) 迁移笔记到 OB (3) 将图片资料转为结构化知识。
Best use case
multimedia-to-obsidian is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
将任意多媒体文档导入 Obsidian 知识库。支持 PPT、PDF、DOCX、图片等格式，自动提取每一页/每一张图片，使用多模态模型理解内容，生成文字描述后存入 OB。适用于：(1) 整理培训课件 (2) 迁移笔记到 OB (3) 将图片资料转为结构化知识。
Teams using multimedia-to-obsidian should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/multimedia-to-obsidian/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How multimedia-to-obsidian Compares
| Feature / Agent | multimedia-to-obsidian | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
将任意多媒体文档导入 Obsidian 知识库。支持 PPT、PDF、DOCX、图片等格式，自动提取每一页/每一张图片，使用多模态模型理解内容，生成文字描述后存入 OB。适用于：(1) 整理培训课件 (2) 迁移笔记到 OB (3) 将图片资料转为结构化知识。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 多媒体导入 Obsidian
将 PPT、PDF、DOCX、图片等多媒体文档导入 Obsidian，每页/每张图片自动生成文字描述。
## 功能特点
- 支持多种格式：PPT、PDF、DOCX、图片（PNG、JPG 等）
- 自动提取媒体文件
- 调用多模态模型理解内容
- 自动分类到 OB 仓库
## 使用方法
### 前提条件
1. 安装依赖：
```bash
brew install pandoc poppler
pip install python-pptx pillow
```
2. 设置环境变量（至少一个）：
```bash
# MiniMax
export MINIMAX_API_KEY="your-key"
export MINIMAX_API_HOST="https://api.minimaxi.com"
# OpenAI
export OPENAI_API_KEY="your-key"
# Anthropic
export ANTHROPIC_API_KEY="your-key"
```
### 调用脚本
```bash
python3 <skill>/scripts/media_to_obsidian.py <源文件/目录> <输出OB目录> [options]
```
**参数：**
- 源文件/目录：单个文件或包含多媒体文件的目录
- 输出目录：Obsidian 仓库路径
- 选项：
- `--format ppt|pdf|docx|image|all` : 指定格式，默认 all
- `--model minimax|openai|anthropic` : 指定模型，默认 minimax
- `--category 分类名` : 指定输出分类目录
### 示例
```bash
# 导入 PPT 课件
python3 ~/.openclaw/workspace/skills/multimedia-to-obsidian/scripts/media_to_obsidian.py \
/path/to/培训课件.pptx \
/path/to/Obsidian \
--format ppt --category 培训
# 导入图片到 OB
python3 ~/.openclaw/workspace/skills/multimedia-to-obsidian/scripts/media_to_obsidian.py \
/path/to/images/ \
/path/to/Obsidian \
--format image --category 素材
# 批量导入目录下的所有文档
python3 ~/.openclaw/workspace/skills/multimedia-to-obsidian/scripts/media_to_obsidian.py \
/path/to/documents/ \
/path/to/Obsidian
```
## 输出结构
```
Obsidian仓库/
├── 培训/
│ └── 培训课件.md (含每页图片理解)
├── 素材/
│ └── 图片1.md
│ └── 图片2.md
└── 导入/
└── 文档名.md
```
## 工作流程
1. **提取媒体**：从 PPT/PDF/DOCX 提取每一页为图片
2. **理解内容**：调用多模态模型理解每张图片
3. **生成描述**：将图片描述写入 Markdown
4. **分类存储**：按指定分类存入 OBRelated Skills
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