What sources does the Deep Research skill support?

It supports YouTube videos, arXiv and SSRN papers, local or online PDFs, and general web articles.

Do I need external API keys?

Yes, for full functionality, you will need Mathpix credentials for high-fidelity PDF processing and the summarize CLI for YouTube content.

Can it handle mathematical formulas?

Absolutely. It uses Mathpix for high-fidelity LaTeX extraction and validates the syntax to ensure it renders correctly in Obsidian.

How does it handle YouTube slides?

It extracts frames using ffmpeg, analyzes them with Claude's vision capabilities, and embeds them as images with descriptions in the final research note.

Where are the research notes saved?

The skill automatically detects your Obsidian vault and routes notes to specific folders like '05 Research' or custom paths based on your classification.

Deep Research for Obsidian

Name: Deep Research for Obsidian
Author: ZealousEar

byZealousEar

0•

学习与文档

Automates multi-source research by extracting content from PDFs, papers, and videos into structured Obsidian notes.

This skill provides a comprehensive, six-phase research pipeline designed for high-depth knowledge management within Obsidian. It classifies inputs from YouTube, arXiv, SSRN, and web articles, performs parallel content extraction using tools like Mathpix and summarize CLI, conducts broad web-based topic research, and synthesizes everything into a production-grade research note. Ideal for academic researchers, students, and power users, it ensures Obsidian-specific syntax validation for LaTeX and Mermaid diagrams while maintaining a consistent organizational structure in your vault.

主要功能

01Parallel processing of independent research sources for speed

02Advanced Obsidian syntax validation for LaTeX, Mermaid, and frontmatter

03Integrated web research for broad topic context and community insights

04Automated visual analysis of presentation slides via multimodal LLM

05Multi-source extraction from YouTube, arXiv, SSRN, and PDFs

060 GitHub stars

使用场景

01Converting technical YouTube presentations into structured study guides

02Synthesizing multiple academic papers into a single comprehensive literature review

03Building a searchable personal knowledge base for dissertation or professional research

主要功能

01Parallel processing of independent research sources for speed

02Advanced Obsidian syntax validation for LaTeX, Mermaid, and frontmatter

03Integrated web research for broad topic context and community insights

04Automated visual analysis of presentation slides via multimodal LLM

05Multi-source extraction from YouTube, arXiv, SSRN, and PDFs

060 GitHub stars

使用场景

01Converting technical YouTube presentations into structured study guides

02Synthesizing multiple academic papers into a single comprehensive literature review

03Building a searchable personal knowledge base for dissertation or professional research