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literature-search

Skills for Claude Code — deep-research: systematic academic literature review

Features

  • ✓Comprehensive Claude Code research lifecycle support
  • ✓17 GitHub repos integrated for research automation
  • ✓Multi-source academic literature search with Semantic Scholar
  • ✓Customizable research planning and idea generation
  • ✓Visit GitHub for detailed installation and usage instructions

Installation Guide

One-line install

bash
npx skills add lingzhi227/agent-research-skills -g -a claude-code

Use the -g (global) flag. Scripts use ~/.claude/skills/ paths that require global installation.

Post-install setup

bash
git clone https://github.com/lingzhi227/agent-research-skills.git /tmp/agent-research-skills
/tmp/agent-research-skills/install.sh
rm -rf /tmp/agent-research-skills

This installs slash commands, checks Python dependencies, and verifies script syntax.

Optional dependencies

| Package | Required by | Install |
|---------|------------|---------|
| Python 3 | All scripts | brew install python3 |
| PyMuPDF | self-review, deep-research (PDF parsing) | pip install PyMuPDF |
| numpy + scipy | data-analysis (statistical tests) | pip install numpy scipy |

Optional configuration

  • Semantic Scholar API key (higher rate limits for literature search):

    • - Get one at https://www.semanticscholar.org/product/api#api-key
    - Save in ~/keys.md: S2_API_Key: your-key-here

  • Output directory: Deep research outputs go to ~/deep-research-output/ by default.

    • Reviews