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...
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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-skill⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
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/💡Extract and place the folder at the path above, then restart your agent.
Category
Data & AnalyticsWhat Literature Reviewer Skill can do for your AI workflow
Conduct a systematic directly from your Claude conversation
Works across Claude, Cursor, OpenClaw — install once, use everywhere
One-command installation — no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Literature Reviewer Skill
Help me get started with Literature Reviewer Skill
Explains what Literature Reviewer Skill does, walks through the setup, and runs a quick demo based on your current project
Use Literature Reviewer Skill to conduct a systematic literature review (Literature Survey) in both ...
Invokes Literature Reviewer Skill with the right parameters and returns the result directly in the conversation
What can I do with Literature Reviewer Skill in my data & analytics workflow?
Lists the top use cases for Literature Reviewer Skill, with example commands for each scenario
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Literature Reviewer Skill extends your AI assistant with the ability to 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... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Literature Reviewer Skill as its underlying capability.
Literature Reviewer Skill works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Literature Reviewer Skill once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Literature Reviewer Skill takes about two minutes. Place the skill at `~/.claude/skills/literature-reviewer-skill/` (personal, all projects) or `.claude/skills/literature-reviewer-skill/` (project-specific), then restart your AI client. From that point, typing `/literature-reviewer-skill` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Literature Reviewer Skill has 534 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/literature-reviewer-skill/ for personal use (all projects), or .claude/skills/literature-reviewer-skill/ for project-specific use. Restart your AI client, then invoke with /literature-reviewer-skill or let the AI discover it automatically.
Literature Reviewer Skill supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Literature Reviewer Skill is free to install. Check the repository for licensing information.
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...
Literature Review
Assistance with writing literature reviews by searching for academic sources via Semantic Scholar, OpenAlex, Crossref and PubMed APIs. Use when the user needs to find papers on a topic, get details for specific DOIs, or draft sections of a literature review with proper citations.
literature-search
Find and compile academic literature with citation lists across Google Scholar, PubMed, arXiv, IEEE, ACM, Semantic Scholar, Scopus, and Web of Science. Use for requests like “find related literature,” “related work,” “citation list,” or “key papers on a topic.”
Literature
Guide literary reading from personal response to scholarly analysis.
Platforms
Automate my data & analytics tasks using Literature Reviewer Skill
Identifies repetitive steps in your workflow and sets up Literature Reviewer Skill to handle them automatically
Literature Reviewer Skill is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.