使用Claude Scholar运行学术研究工作流
Guide literature review, experiment tracking, evidence records, result reporting, and paper-writing work through a structured research-agent workflow.
Prerequisites
Claude Code, Codex CLI, or OpenCode; Git; optional Zotero and Obsidian for literature and project knowledge workflows
Installation
Use the upstream install or setup path that matches your environment:
- git clone https://github.com/1991513ccie-png/skills /tmp/claude-scholar
Requirements and caveats from upstream:
- 2026-04-15: pubfig and pubtab introduced — introduced pubfig, a Python package for publication-grade scientific figures, and [pubtab](https://github.com/1991513ccie-png/skills
- 2026-01-26: Rewrote all Hooks to cross-platform Node.js; completely rewrote README; expanded ML paper writing knowledge base; merged PR #1 (cross-platform support)
- (Optional) Python + uv for Python development
Basic usage or getting-started notes:
- 2026-03-31: README onboarding refreshed — clarified that Claude Scholar is especially well-suited to computer science and AI researchers, added practical getting-started scenarios after installation, improved...
- | Quick Start | Install Claude Scholar in full, minimal, or selective mode. |
- | Getting Started Scenarios | See a few realistic first-use scenarios after installation. |
- Source: https://github.com/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/Galaxy-Dawn/claude-scholar/HEAD/README.md
Documentation
- https://github.com/1991513ccie-png/skills
