Automates discovery, parallel review, scoring, and briefing generation of AI research papers from arXiv, supporting daily updates and PDF analysis.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install paper-recommendationOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install paper-recommendationβ 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/paper-recommendation/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Paper Recommendation can do for your AI workflow
Automates discovery, parallel directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,081+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Paper Recommendation
Help me get started with Paper Recommendation
Explains what Paper Recommendation does, walks through the setup, and runs a quick demo based on your current project
Use Paper Recommendation to automates discovery, parallel review, scoring, and briefing generat...
Invokes Paper Recommendation with the right parameters and returns the result directly in the conversation
What can I do with Paper Recommendation in my data & analytics workflow?
Lists the top use cases for Paper Recommendation, with example commands for each scenario
Guides & tutorials for AI skills
Paper Recommendation extends your AI assistant with the ability to automates discovery, parallel review, scoring, and briefing generation of AI research papers from arXiv, supporting daily updates and PDF analysis. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Paper Recommendation as its underlying capability.
Paper Recommendation works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Paper Recommendation 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.
Paper Recommendation installs like any other MCP skill: drop the folder into `~/.claude/skills/paper-recommendation/` for global access, or `.claude/skills/paper-recommendation/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/paper-recommendation`, or let the AI decide when it's the right tool for your request.
Paper Recommendation has been installed 3,081 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/paper-recommendation/ for personal use (all projects), or .claude/skills/paper-recommendation/ for project-specific use. Restart your AI client, then invoke with /paper-recommendation or let the AI discover it automatically.
Paper Recommendation supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Paper Recommendation is free to install. Check the repository for licensing information.
Automates discovery, parallel review, scoring, and briefing generation of AI research papers from arXiv, supporting daily updates and PDF analysis.
Automate my data & analytics tasks using Paper Recommendation
Identifies repetitive steps in your workflow and sets up Paper Recommendation to handle them automatically
MCP vs traditional plugins: what's the difference?
Paper Recommendation is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.