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Skills/k-dense-ai/scientific-agent-skills/paperzilla
paperzilla logo

paperzilla

k-dense-ai/scientific-agent-skills
615 installs28K stars
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Installation

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill paperzilla

Summary

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.

SKILL.md

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:

  • https://docs.paperzilla.ai/guides/cli-getting-started

Build from source (Go 1.23+)

See the CLI repository for source builds:

  • https://github.com/paperzilla-ai/pz

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

  • Docs: https://docs.paperzilla.ai/guides/cli
  • Quickstart: https://docs.paperzilla.ai/guides/cli-getting-started
  • Repo: https://github.com/paperzilla-ai/pz

Score

0–100
65/ 100

Grade

C

Popularity17/30

615 installs — growing adoption. Source repo has 28,214 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Paperzilla skill score badge previewScore badge

Markdown

[![Paperzilla skill](https://www.remoteopenclaw.com/skills/k-dense-ai/scientific-agent-skills/paperzilla/badges/score.svg)](https://www.remoteopenclaw.com/skills/k-dense-ai/scientific-agent-skills/paperzilla)

HTML

<a href="https://www.remoteopenclaw.com/skills/k-dense-ai/scientific-agent-skills/paperzilla"><img src="https://www.remoteopenclaw.com/skills/k-dense-ai/scientific-agent-skills/paperzilla/badges/score.svg" alt="Paperzilla skill"/></a>

Paperzilla FAQ

How do I install the Paperzilla skill?

Run “npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill paperzilla” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Paperzilla skill do?

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. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Paperzilla skill free?

Yes. Paperzilla is a free, open-source skill published from k-dense-ai/scientific-agent-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Paperzilla work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Paperzilla works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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