Claude Skill

Pthahnix/De-Anthropocentric-Research-Engine

De-Anthropocentric Research Engine automates academic research with deep literature survey, gap analysis, idea generation, and distributed GPU execution. Combines iterative deep research, adversari...

Overview

Stars227
Forks16
LanguageTypeScript
Last pushed2026-05-12
Last synced2026-05-15
View on GitHub

Repository

OwnerPthahnix
RepositoryDe-Anthropocentric-Research-Engine
Full namePthahnix/De-Anthropocentric-Research-Engine
Repo ID1,154,200,345

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Summary

De-Anthropocentric Research Engine is an AI-powered academic research automation system that performs deep literature surveys, gap analysis, idea generation, experiment design, and execution. It combines iterative deep research, adversarial debate, evolutionary generation, and distributed GPU execution to accelerate scientific discovery.

Chinese description

去人类中心化研究引擎——基于AI的学术研究自动化系统,具备深度文献调研、研究空白分析、创意生成、实验设计与执行功能。融合迭代深度研究、对抗性辩论、进化生成及分布式GPU执行技术。

Key features

  • Iterative deep research with multi-round literature survey
  • Adversarial debate mechanism for critical analysis
  • Evolutionary idea generation and gap analysis
  • Distributed GPU execution for experiment automation
  • Integration with arXiv and paper reading workflows
  • MCP and Claude Code support for agentic research

Use cases

  • Automated literature review and research gap identification
  • AI-assisted hypothesis generation and experiment design
  • Accelerating scientific discovery with distributed computing
  • Adversarial evaluation of research ideas and methods
  • End-to-end research pipeline from survey to execution

Topics

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Data from GitHub. Synced on 2026-05-15