
Paperzilla
FreeEffortlessly access project recommendations and research papers.
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 source1. Install with the skills CLI
npx skills add k-dense-ai/scientific-agent-skills/paperzilla --agent claude-code2. 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-aiPaperzilla
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
--jsonfor machine parsing. pz paper --markdownonly returns markdown when it is already prepared.pz rec --markdowncan queue markdown generation and prints a friendly retry message while it is still being prepared.--atomreturns 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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