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>

Keep paper and recommendation identities separate

A canonical paper-id identifies the paper; a project-paper-id identifies its recommendation within a project. Take both from returned records and retain the project association when exporting results. Use the recommendation ID for rec and feedback operations, even if the same paper appears in several projects. Do not infer recommendation IDs from a DOI or canonical paper ID. See the official CLI documentation.

When markdown is still being prepared, report that state and summarize only the metadata or abstract actually returned. A retry message is not full-text evidence.

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.

設定說明

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

參考資料

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