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paperzilla

k-dense-ai/scientific-agent-skills

Access Paperzilla projects, recommendations, and canonical papers directly from your agent.

What is paperzilla?

Paperzilla is a research paper recommendation and curation platform. Use this skill when users ask for project recommendations, paper details, markdown summaries, feedback on recommendations, or feed exports.

  • List and browse projects in Paperzilla
  • Fetch and display canonical papers as markdown or JSON
  • Open recommendations from projects and explain their relevance
  • Leave feedback (upvote, downvote, star) on recommendations
  • Export feeds as JSON or Atom URLs for feed readers
  • Filter feeds by must-read status, date range, and limit

How to install paperzilla

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill paperzilla
Prerequisites
  • Install the `pz` CLI (via Homebrew, Scoop, or from source)
  • Run `pz login` to authenticate with your Paperzilla account
  • Have access to at least one Paperzilla project
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How to use paperzilla

  1. 1.Install the pz CLI using the appropriate method for your OS
  2. 2.Run `pz login` to authenticate
  3. 3.List available projects with `pz project list`
  4. 4.Query a project's feed with `pz feed <project-id>` (add `--json` or `--atom` for export)
  5. 5.Fetch a paper with `pz paper <paper-id> --markdown` or view a recommendation with `pz rec <project-paper-id>`
  6. 6.Leave feedback on recommendations using `pz feedback <project-paper-id> upvote|downvote|star`

Use cases

Good for
  • Get the latest paper recommendations for a specific research project
  • Retrieve a canonical paper and generate a markdown summary for your team
  • Export a project's feed to a feed reader using the Atom URL
  • Leave feedback on whether a recommendation is relevant to your work
  • Browse must-read papers from a project published since a specific date
Who it's for
  • Researchers managing multiple paper projects
  • Teams curating canonical papers for a domain
  • Agents that need to query research recommendations programmatically
  • Users integrating Paperzilla feeds into external tools

paperzilla FAQ

What is the difference between `pz paper` and `pz rec`?

`pz paper` retrieves a canonical paper by ID, while `pz rec` opens a recommendation from one of your projects, which may include project-specific context and feedback markers.

How do I export a feed for use in a feed reader?

Use `pz feed <project-id> --atom` to get a personal Atom feed URL that you can subscribe to in any feed reader.

Can I get markdown output for all papers?

`pz paper --markdown` only returns markdown if it is already prepared. For recommendations, `pz rec --markdown` can queue generation and will print a retry message while processing.

How do I filter feeds by date or importance?

Use flags like `--since YYYY-MM-DD`, `--must-read`, and `--limit N` with the `pz feed` command.

What feedback options are available for recommendations?

You can upvote, downvote (with optional reason), or star a recommendation, and clear feedback with `pz feedback clear`.

Full instructions (SKILL.md)

Source of truth, from k-dense-ai/scientific-agent-skills.


name: paperzilla description: 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. license: MIT metadata: version: "1.0" skill-author: Paperzilla Inc

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