lit-search

Create reproducible literature databases from OpenAlex results with JSON and Markdown outputs.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/nealcaren/sociology-writing-suite --skill lit-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lit-search
Source: https://github.com/nealcaren/sociology-writing-suite/tree/main/plugins/sociology-writing-suite/skills/lit-search
Command: npx skills add https://github.com/nealcaren/sociology-writing-suite --skill lit-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, repeatable workflow to build, manage, and update a literature database from OpenAlex search results, enabling transparent screening, snowballing, annotation, and synthesis for sociology research.

Core Features & Use Cases

  • Phase-driven workflow: guides users through scope, search, screening, snowballing, full-text acquisition, annotation, and synthesis.
  • OpenAlex integration: leverages the OpenAlex API with pagination and metadata extraction for reproducible results.
  • Structured outputs: produces machine-readable JSON databases and human-ready documents ready for reporting.
  • Use Case: you want to compile a topic-specific literature base for a qualitative sociology project, then annotate key papers and generate a synthesis.

Quick Start

Instruct the skill to initialize Phase 0 with your topic and preferred date range.

Frequently Asked Questions about lit-search

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

FAQPage Schema
How do I build a reproducible literature database from OpenAlex search results?

A systematic literature search uses OpenAlex API pagination to retrieve records, then guides you through multi-stage screening, snowballing, and annotation phases to produce a structured, reproducible database for qualitative sociology research.

Can I use OpenAlex for snowballing and annotation in a systematic literature review?

Yes, OpenAlex supports snowballing and annotation within a systematic literature review. The workflow guides you through screening retrieved results, snowballing citation networks, annotating key papers, and generating a synthesis for sociology research.

What is the best way to manage a literature review workflow for sociology research?

A phase-driven workflow is best for managing sociology literature reviews. It sequentially guides scope definition, search, screening, snowballing, full-text acquisition, annotation, and synthesis, ultimately producing machine-readable JSON databases and human-ready Markdown artifacts.

Does OpenAlex API pagination support reproducible systematic searches?

Yes, OpenAlex API pagination supports reproducible systematic searches by enabling complete metadata extraction across large result sets. This ensures transparent record retrieval for your literature database, enabling reliable downstream screening and snowballing.

What output formats are generated when screening OpenAlex results for a literature review?

Screening OpenAlex results generates machine-readable JSON databases and human-ready Markdown artifacts. These structured outputs capture extracted metadata, screening decisions, annotations, and final synthesis, making them ready for downstream reporting and analysis.