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autoresearch

Run web searches, extract information, and structure findings into a wiki.

Updated Apr 23, 2026
Search Tags:#knowledge management#academic research#structured knowledge#autonomous research#wiki automation
One-click install
npx skills add https://github.com/xiang2007/obsidian-vault --skill autoresearch-xiang2007
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autoresearch
Source: https://github.com/xiang2007/obsidian-vault/tree/main/skills/autoresearch
Command: npx skills add https://github.com/xiang2007/obsidian-vault --skill autoresearch-xiang2007

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, claude-code, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of conducting research, extracting information, and structuring it into a knowledge base, streamlining the creation of comprehensive research documents.

Core Features & Use Cases

  • Autonomous Research Loop: Automatically performs web searches, extracts information, and files structured pages into a wiki.
  • Customizable Objectives: Configure research objectives through a program file defining sources, scoring, and constraints.
  • Methodology Modes: Supports various research methodologies such as LYT, PARA, Zettelkasten, and a generic mode.
  • Use Case: Ideal for academic research, creating knowledge bases, and compiling comprehensive reports on any topic.

Quick Start

Trigger the research loop by using the command '/autoresearch [topic]'.

Frequently Asked Questions about autoresearch

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

FAQPage Schema
How do I automate web searches to build a structured wiki knowledge base?▼

This Skill automates iterative research by running web searches, extracting information, and structuring it into a wiki. It uses an autonomous research loop to compile your findings into a comprehensive knowledge base.

What research methodologies are supported for structured knowledge management?▼

Supported methodologies for structured knowledge management include LYT, PARA, Zettelkasten, and a generic mode. These configurable modes allow you to define sources, scoring, and constraints for your research objectives.

Do I need Python and Claude Code to automate academic research?▼

Yes, you need Python and Claude Code to automate academic research with this tool. These dependencies are required to run the scripts that execute the autonomous research loop and integrate enhanced functionality.

How do I configure research objectives and constraints for autonomous research?▼

You configure research objectives and constraints by defining a program file that specifies your desired sources and scoring parameters. This configuration file drives the autonomous research loop during execution.

What is the best way to trigger the automated research loop?▼

The best way to trigger the automated research loop is by using the '/autoresearch [topic]' command. This initiates the process of conducting web searches and extracting information for your specified topic.

Can I use this tool for academic research and compiling comprehensive reports?▼

Yes, this tool is ideal for academic research, creating knowledge bases, and compiling comprehensive reports on any topic. It streamlines the creation of structured research documents through automated information extraction.

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