paperzilla
Helps your agent find and summarize scientific papers. It searches projects, recommendations, and important articles, presenting them in an organized way.
What it does
Paperzilla helps you find and organize important scientific papers. It searches through projects, suggests new articles, and allows you to view details, summaries, and even give feedback on suggestions.
When to use it
- ✓When you want to see the latest recommended papers for a project.
- ✓When you need a summary of a specific scientific paper.
- ✓When you want to provide feedback on a paper recommendation.
Example of what to ask your AI
“Show me the latest recommendations for the 'Artificial Intelligence' project.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
Paperzilla uses a tool called 'pz CLI' to connect to the Paperzilla service. It fetches the information you request and displays it to you.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add K-Dense-AI/scientific-agent-skills --skill paperzillaOr download just the file:
curl -L https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/paperzilla/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Paperzilla
Use this skill when you want to chat with your agent about projects, recommendations, and canonical papers in Paperzilla.
What you can ask
- "Give me the latest recommendations from project X."
- "Open recommendation Y and explain why it matters."
- "Fetch canonical paper Z as markdown and summarize it."
- "Tell me how this paper is relevant to my research."
- "Show me the feed for project X."
- "Leave feedback on a recommendation."
- "Export this paper, recommendation, or feed as JSON."
This is the core Paperzilla skill. It gives your agent direct access to Paperzilla data, but it does not impose a workflow or external delivery integration.
Access method
Use the official pz CLI. This skill targets 0.7.1, checked against the
official release source and binary. Command examples use placeholder IDs; replace
them with records returned by your account. CLI behavior was tested against a
local mock server, not an authenticated Paperzilla account.
Start with pz --version, then list projects, select a project, browse or search
its feed, and inspect selected recommendations. Keep project recommendations
separate from the underlying canonical paper when summarizing or exporting.
Install
macOS
brew install paperzilla-ai/tap/pz
If Homebrew 6 or later rejects this formula as untrusted, the official guide uses
brew trust --formula paperzilla-ai/tap/pz, then retries installation. Trust only
that formula. Installation and upgrade commands were documentation-checked, not
executed during this review.
Windows (Scoop)
scoop bucket add paperzilla-ai https://github.com/paperzilla-ai/scoop-bucket
scoop install pz
Linux
Use the official Linux install guide:
Build from source (Go 1.23+)
See the CLI repository for source builds:
Update
Check whether your CLI is up to date and get install-specific upgrade steps:
pz update
If detection is ambiguous, override it explicitly:
pz update --install-method homebrew
pz update --install-method scoop
pz update --install-method release
pz update --install-method source
Supported values are auto, homebrew, scoop, release, and source.
Authentication
pz login
Login sends a one-time code to the account email and saves the session locally. Complete it interactively before running JSON exports: missing or expired credentials can trigger login prompts on stdout. The CLI checks account access and refreshes tokens automatically; report access/upgrade errors rather than treating them as an empty feed.
Version-specific discrepancy: the online guides describe anonymous canonical
paper access, but the 0.7.1 binary requires login and a CLI-access check even for
pz paper. Its subsequent canonical-paper HTTP request uses a public route. Do
not promise an anonymous CLI workflow for this release.
CLI reference
If the current profile uses pz, these are the core commands.
List projects
pz project list
pz project list --json
Show one project
pz project <project-id>
pz project <project-id> --json
The list JSON is an array containing id, name, mode, and visibility.
The single-project JSON also includes keywords, watched sources, and categories.
Browse project feed
pz feed <project-id>
Useful flags:
--must-read--since YYYY-MM-DD--limit N--offset N(zero-based results to skip)--json--atom
Examples:
pz feed <project-id> --must-read --since 2026-03-01 --limit 5
pz feed <project-id> --limit 20 --offset 20 --json
pz feed <project-id> --json
pz feed <project-id> --atom
--since filters when recommendations were ready, not paper publication date.
Browse JSON contains items, total, limit, and offset. A command fetches
one page; it does not export the entire feed automatically. Retain the same
filters, advance from the returned offset by the number of items received, and
stop on an empty page or when the returned total is reached. Deduplicate by
recommendation ID if the live feed changes while paging.
Feed output can include existing recommendation feedback markers:
[↑]upvote[↓]downvote[★]star
Search the full project feed
pz feed search --project-id <project-id> --query "latent retrieval" --json
…
FAQ
How do I install Paperzilla?
You can install Paperzilla using Homebrew on macOS, Scoop on Windows, or by following the official guide for Linux. If you have programming experience, you can compile from the source code.
Do I need to log in to use Paperzilla?
Yes, you need to log in using the 'pz login' command. This sends a code to your email and saves your session so you can access the data.
How do I search for specific papers?
You can search for papers using the 'pz feed search' command with a keyword. You can also filter by projects and by feedback, such as papers marked as 'starred'.
Details
Original description by the author
Reads projects, searches project feeds, and retrieves recommendations and canonical papers in Paperzilla through the pz CLI. Supports recent recommendations, paper details, markdown-based summaries, recommendation feedback, JSON export, and Atom feed URLs.
Popularity
- GitHub stars
- 51k
- Ranking position
- #1927
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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