Use Case
Stop doing repetitive data & analytics tasks manually. Literature Reviewer Skill lets your AI agent handle them automatically through natural conversation. Conduct a systematic literature review (Literature Survey) in both Chinese and English based on the paper topics provided by the user. It adopts an 8-stage workflow and supports mainstream databases such as CNKI, Web of Science, and ScienceDirect. It does not require API configuration and automatically obtains literature information through the browser. Output Markdown text containing GB/T 7714-2015 citations, titles, and abstracts... This guide shows practical examples of using Literature Reviewer Skill to automate common data & analytics workflows and save hours every week.
Install Literature Reviewer Skill: npx clawhub@latest --dir ~/.claude/skills install literature-reviewer-skill
Identify the repetitive data & analytics tasks you want to automate
Describe the task to your AI in plain English
Literature Reviewer Skill will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Literature Reviewer Skill
Automate my data & analytics tasks using Literature Reviewer Skill
What repetitive tasks can Literature Reviewer Skill handle for me?
Set up a workflow that runs Literature Reviewer Skill every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install literature-reviewer-skillOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install literature-reviewer-skillβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/literature-reviewer-skill/π‘Extract and place the folder at the path above, then restart your agent.