research-knowledge-base-builder

Automate construction and maintenance of structured research knowledge bases in Obsidian.

3|Updated Mar 27, 2026

Search Tags:#research #knowledge management #knowledge base #Obsidian #academic research

Ready to run

npx skills add https://github.com/PolarisLight/research-knowledge-base-builder --skill research-knowledge-base-builder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-knowledge-base-builder
Source: https://github.com/PolarisLight/research-knowledge-base-builder/tree/main
Command: npx skills add https://github.com/PolarisLight/research-knowledge-base-builder --skill research-knowledge-base-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pypdf, pdfplumber, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of building and maintaining a structured research knowledge base in Obsidian, saving time and ensuring consistency.

Core Features & Use Cases

Web Paper Harvesting: Fetches candidate papers from arXiv, DBLP, and Crossref.
Duplicate Removal and Vault Comparison: Ensures uniqueness and relevance.
Automatic PDF Download: Retrieves PDFs for further analysis.
Knowledge Base Structure: Generates an organized knowledge base with indices, tracks, and pending queues.
Note Standardization: Maintains standardized notes using a consistent template.
PDF Visualization Extraction: Cuts key figures and results tables from PDFs.
Use Case: Build a knowledge base for a specific research topic by harvesting papers, structuring them into a knowledge base, and maintaining it over time.

Quick Start

Use research-knowledge-base-builder to build a knowledge base for "long-tailed visual recognition" and automatically retrieve candidate papers from the web.

Frequently Asked Questions about research-knowledge-base-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build a research knowledge base in Obsidian automatically?▼

To build a research knowledge base in Obsidian automatically, this Skill harvests papers from arXiv, DBLP, and Crossref, downloads PDFs, and generates structured indices, tracks, and pending queues.

How do I extract figures and tables from academic PDFs for my notes?▼

You can extract figures and tables from academic PDFs for your notes using the Skill's PDF visualization extraction feature, which cuts key results tables and figures directly from downloaded PDF files.

What is the best way to harvest academic papers from arXiv and DBLP?▼

The best way to harvest academic papers from arXiv and DBLP involves using automated Python scripts that fetch candidate papers, perform duplicate removal, and compare results against your existing knowledge base.

Do I need Python to automate Obsidian knowledge base management?▼

Yes, you need Python to automate Obsidian knowledge base management, as this Skill relies on Python scripts along with pypdf, pdfplumber, and requests dependencies for harvesting and processing PDFs.

Can I standardize my Obsidian research notes using a consistent template?▼

You can standardize your Obsidian research notes using a consistent template through the note standardization feature, which maintains formatting consistency across your entire academic knowledge base.