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k-dense-ai on GitHub

Paperzilla

Free

Effortlessly access project recommendations and research papers.

Get this skill

Free · Opens the source repo

What Paperzilla does

Paperzilla is a skill designed for developers and researchers who need to interact with project recommendations and canonical papers efficiently. By integrating with your AI agent, it allows you to query and retrieve relevant information directly from the Paperzilla database. This skill is particularly useful when you need to stay updated on the latest research, understand the significance of specific papers, or gather feedback on recommendations.

With commands tailored for project management, you can easily fetch the latest recommendations, explore project feeds, and summarize papers in markdown format. The skill supports various output formats, including JSON and Atom feeds, making it versatile for different workflows. Whether you're conducting academic research or managing a development project, Paperzilla provides a streamlined way to access and utilize essential information.

The installation process is straightforward, with support for macOS, Windows, and Linux platforms. Once installed, you can log in and start using commands to list projects, read papers, and leave feedback on recommendations. The CLI interface is designed to be user-friendly, providing clear commands and options to customize your queries.

Overall, Paperzilla is an essential tool for anyone involved in research or project management, offering a direct line to the resources you need to make informed decisions and stay updated in your field.

When to use it

Use Paperzilla when you need quick access to project updates, paper summaries, or feedback mechanisms in your research or development work.

When not to use it

This skill may not be suitable if you're looking for a comprehensive project management tool with extensive integration capabilities beyond Paperzilla.

What you can build with it

Research Paper Summarization

Quickly fetch and summarize academic papers relevant to your research area in markdown format.

Project Recommendation Updates

Stay informed about the latest recommendations for your projects with simple CLI commands.

Feedback on Recommendations

Easily provide feedback on project recommendations to refine the suggestions you receive.

How to install Paperzilla

View source

1. Install with the skills CLI

npx skills add k-dense-ai/scientific-agent-skills/paperzilla --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by k-dense-ai

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

Most current profiles in this repo use the pz CLI.

If the current profile ships extra agent-specific instructions, follow those as well.

Install

macOS

brew install paperzilla-ai/tap/pz

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

CLI reference

If the current profile uses pz, these are the core commands.

List projects

pz project list

Show one project

pz project <project-id>

Browse project feed

pz feed <project-id>

Useful flags:

  • --must-read
  • --since YYYY-MM-DD
  • --limit N
  • --json
  • --atom

Examples:

pz feed <project-id> --must-read --since 2026-03-01 --limit 5
pz feed <project-id> --json
pz feed <project-id> --atom

Feed output can include existing recommendation feedback markers:

  • [↑] upvote
  • [↓] downvote
  • [★] star

Read a canonical paper

pz paper <paper-id>
pz paper <paper-id> --json
pz paper <paper-id> --markdown
pz paper <paper-id> --project <project-id>

Open a recommendation from one of your projects

pz rec <project-paper-id>
pz rec <project-paper-id> --json
pz rec <project-paper-id> --markdown

Leave recommendation feedback

pz feedback <project-paper-id> upvote
pz feedback <project-paper-id> star
pz feedback <project-paper-id> downvote --reason not_relevant
pz feedback clear <project-paper-id>

Output and automation

  • Prefer --json for machine parsing.
  • pz paper --markdown only returns markdown when it is already prepared.
  • pz rec --markdown can queue markdown generation and prints a friendly retry message while it is still being prepared.
  • --atom returns a personal feed URL for feed readers.

Configuration

export PZ_API_URL="https://paperzilla.ai"

References

Frequently asked questions about Paperzilla

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