literature-sweep

Search CrossRef and OpenAlex for academic papers, verify citations, and add them to a bibliography and summary CSV.

30|8|Updated May 10, 2026
One-click install
npx skills add https://github.com/youngeun1209/oh-my-claudecode-research --skill literature-sweep-youngeun1209
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-sweep
Source: https://github.com/youngeun1209/oh-my-claudecode-research/tree/main/skills/literature-sweep
Command: npx skills add https://github.com/youngeun1209/oh-my-claudecode-research --skill literature-sweep-youngeun1209

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the tedious, error-prone manual work of searching for relevant academic papers, verifying their citation metadata, and adding them to your research bibliography and summary CSV, saving researchers hours of repetitive administrative work during literature reviews.

Core Features & Use Cases

  • Parallel metadata search: Queries CrossRef and OpenAlex to pull 3x your target number of candidate papers on any research topic, with optional parallel curator dispatch for faster processing of large candidate sets.
  • Hard citation verification gate: Runs every candidate through a standalone verification tool to ensure only valid, correctly attributed papers are added to your bibliography, eliminating fake or mismatched citations.
  • Use case: If you are writing a research paper on diffusion models for protein design, use this Skill to automatically pull 30 verified relevant papers, add them to your project's references.bib file, and generate a pre-filled summary CSV with author, year, venue, and abstract details for each entry.

Quick Start

Invoke the literature-sweep skill with your research topic to automatically find, verify, and add relevant papers to your project's bibliography and summary CSV.

Frequently Asked Questions about literature-sweep

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

FAQPage Schema
How do I automate academic literature search and citation verification for a research paper?

To automate academic literature search and citation verification, you can use a tool that queries CrossRef and OpenAlex to pull candidate papers, runs a hard verification gate to check metadata accuracy, and exports the verified entries to a bibliography and summary CSV.

Can I pull verified academic papers from CrossRef and OpenAlex directly into a bibliography?

Yes, you can pull verified academic papers from CrossRef and OpenAlex into a bibliography by dispatching parallel metadata queries to retrieve three times your target number of candidates, verifying their citations, and adding the valid ones to your references file.

What is the best way to prevent fake or mismatched citations from being added to my research bibliography?

The best way to prevent fake or mismatched citations in your research bibliography is to enforce a hard verification gate that checks every candidate paper's metadata before adding it, while logging all rejected entries for manual review.

How do I generate a summary CSV of academic papers during a literature review?

You can generate a summary CSV of academic papers during a literature review by using a research automation tool that extracts author, year, venue, and abstract details from verified search results and compiles them into a structured file.

Does literature search automation support parallel processing for large sets of candidate papers?

Yes, literature search automation supports parallel processing through optional parallel curator dispatch, which allows for faster metadata querying and verification when dealing with large sets of candidate papers.

Why are some candidate papers rejected during automated citation verification?

Candidate papers are rejected during automated citation verification when they fail the hard metadata verification gate due to invalid or mismatched citation details, ensuring only correctly attributed papers are added to your research artifacts.