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Paperzilla

  • 907 installs
  • 32k repo stars
  • Updated July 29, 2026
  • k-dense-ai/scientific-agent-skills

paperzilla is a scientific-agent-skills integration (version 1.0) that lets coding agents retrieve, summarize, and discuss Paperzilla project recommendations, canonical papers, and Atom feeds.

About

paperzilla is a skill from k-dense-ai/scientific-agent-skills at version 1.0 by Paperzilla Inc (MIT licensed) for chatting with agents about Paperzilla projects, recommendations, and canonical research papers. Developers can request latest recommendations from a project, open a recommendation with rationale, fetch canonical papers as markdown summaries, submit recommendation feedback, or export feeds including Atom feed URLs. Example prompts include asking for canonical paper markdown, explaining why a recommendation matters, and pulling structured feed exports for literature review during implementation. Reach for paperzilla when scientific or ML features need grounded citations instead of hallucinated references. The skill bridges Paperzilla's recommendation graph and canonical paper store into Claude Code sessions so literature context stays tied to identifiable project artifacts and exportable feeds.

  • Direct agent chat access to Paperzilla's project recommendations and canonical papers
  • Returns markdown-based summaries and relevance explanations for any paper
  • Supports 7 distinct query types including latest recommendations, feedback, and feed exports
  • Exports papers, recommendations, or feeds as JSON
  • Available via the `pz` CLI on macOS, Windows, and Linux

Paperzilla by the numbers

  • 907 all-time installs (skills.sh)
  • +40 installs in the week ending Jul 29, 2026 (Skillselion tracking)
  • Ranked #1,161 of 16,570 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 29, 2026 (Skillselion catalog sync)
npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill paperzilla

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Listed on Skillselion
Installs907
repo stars32k
Security audit2 / 3 scanners passed
Last updatedJuly 29, 2026
Repositoryk-dense-ai/scientific-agent-skills

How do you fetch canonical papers into Claude Code?

Let their coding agent retrieve, summarize, and discuss canonical research papers, project recommendations, and structured feeds from Paperzilla.

Who is it for?

ML and research engineers who need Paperzilla canonical papers and project recommendations inside agent sessions.

Skip if: General web search or citation tasks outside the Paperzilla project and recommendation graph.

When should I use this skill?

Paperzilla recommendations, canonical paper markdown, feed exports, or Atom URLs are requested during scientific development.

What you get

Markdown paper summaries, recommendation rationales, feedback submissions, and Atom feed exports.

  • markdown paper summary
  • recommendation export
  • atom feed URL

By the numbers

  • Skill metadata version 1.0
  • MIT licensed integration by Paperzilla Inc

Files

SKILL.mdMarkdownGitHub ↗

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

Related skills

FAQ

What can paperzilla retrieve?

paperzilla (version 1.0) lets agents pull Paperzilla project recommendations, canonical papers as markdown, recommendation feedback hooks, and Atom feed exports so scientific work cites real papers instead of hallucinated references.

When should developers invoke paperzilla?

Developers should invoke paperzilla when implementation needs Paperzilla canonical papers, latest project recommendations, or feed exports—for example, grounding ML features or literature reviews inside Claude Code sessions.

Is Paperzilla safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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