This skill helps researchers build a reproducible literature review using OpenAlex by guiding search, screening, snowballing, annotation, and synthesis.
npx playbooks add skill nealcaren/social-data-analysis --skill lit-search
The Lit Search skill is a code-review tool that assists researchers in building a reproducible literature review by guiding them through the processes of search, screening, snowballing, annotation, and synthesis, and it connects to OpenAlex to enable this functionality. A developer would use Lit Search when they need to conduct a thorough and systematic review of existing literature on a particular topic. This skill is particularly useful for researchers who want to ensure the accuracy and reliability of their literature review.
At 19 words, this compact prompt gives your agent specialized code review & quality expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
This skill helps researchers build a reproducible literature review using OpenAlex by guiding search, screening, snowballing, annotation, and synthesis.
Lit Search is a free code review & quality skill for AI coding agents. This skill helps researchers build a reproducible literature review using OpenAlex by guiding search, screening, snowballing, annotation, and synthesis.. It provides a specialized system prompt that configures your agent with code review & quality expertise.
Run npx playbooks add skill nealcaren/social-data-analysis --skill lit-search in your terminal to install Lit Search into your Claude Code session. It works immediately after installation.
Lit Search is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Lit Search is completely free and open source. The full source is available on GitHub at https://github.com/nealcaren/social-data-analysis/tree/main/plugins/lit-search/skills/lit-search. You only need a subscription to the AI agent you use it with.
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