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world-research

Community

Global research across 6 layers.

Education & Research#research#social media#AI trends#academic papers#tech blogs#global search
Authortaiyousan15
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a comprehensive system for researching information across academic papers, social media, tech blogs, and communities worldwide, eliminating the need to manually sift through disparate sources.

Core Features & Use Cases

  • Multi-Layered Research: Gathers information from 6 distinct layers: academic papers, curated lists, tech blogs, implementation ecosystems, social media, and communities.
  • Extensive Platform Coverage: Integrates data from platforms like Arxiv, X (Twitter), Reddit, YouTube, GitHub, and more.
  • Use Case: Quickly understand the latest advancements in AI by querying for "LLM agents" and receiving a synthesized report that includes recent academic papers, trending discussions on X, and relevant code repositories.

Quick Start

Use the world-research skill to search for 'AI agents' across all layers.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: world-research
Download link: https://github.com/taiyousan15/taisun_agent/archive/main.zip#world-research

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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