paperzilla
Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs.
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Paperzilla - AI-Powered Paper Recommendations and Research Management Assistant
Skill Overview
Paperzilla is a Claude skill designed specifically for researchers. Powered by AI, it helps you efficiently track literature related to your projects, discover key papers, and understand how they connect to your research.
Use Cases
- Get continuously updated paper recommendations for your research projects
- Subscribe to a project’s Atom feed to receive new papers in your reader in real time
- Filter recommendations by date and importance (must-read papers, specific time ranges)
- Get Markdown-formatted summaries of standard papers
- Understand an analysis of a specific paper’s relevance to your research project
- Learn why a paper is important through the recommendation explanation
- Export papers and recommendations in JSON format for easier automation
- Integrate with your existing research toolchain via CLI tools
- Provide feedback on recommendations (like, tag, downvote) to improve the quality of future recommendations
Core Features
Automatically discover and recommend relevant papers based on your project’s topic. A feedback mechanism continuously optimizes recommendation accuracy so you can focus on truly important literature.
Supports retrieving paper content in various formats such as Markdown and JSON, making it usable across different tools and scenarios—including generating reader-friendly summaries directly.
Organize papers into specific research projects. Each project has its own subscription source and recommendation stream, supporting browsing, filtering, and exporting by project.
Frequently Asked Questions
How does Paperzilla help me track the latest research papers?
Paperzilla continuously recommends relevant papers based on your research projects. You can use the
pz feed <project-id> command to get the project’s subscription feed, and use options like --must-read, --since, etc. to filter for the most important items. After subscribing to the Atom feed, your reader will automatically fetch new recommendations.How can I use Paperzilla in Claude to get paper recommendations?
Paperzilla runs as a Claude skill. You can directly interact with the agent in the conversation by requesting things like “Give me the latest recommendations for project X” or “Explain why recommendation Y is important.” The agent will call the Paperzilla CLI and return the results in the conversation.
Can I provide feedback on paper recommendations to improve their quality?
Yes. Use
pz feedback <project-paper-id> upvote|star|downvote to provide feedback on recommendations. Liking, starring, or downvoting recommendations will affect the quality of future recommendations, helping Paperzilla better understand your research needs.