General

paperzilla - Claude MCP Skill

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.

SEO Guide: Enhance your AI agent with the paperzilla tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to chat with your agent about projects, recommendations, and canonical papers in paperzilla. use when u... Download and configure this skill to unlock new capabilities for your AI workflow.

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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
```bash
brew install paperzilla-ai/tap/pz
```

### Windows (Scoop)
```bash
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:

```bash
pz update
```

If detection is ambiguous, override it explicitly:

```bash
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

```bash
pz login
```

## CLI reference

If the current profile uses `pz`, these are the core commands.

### List projects
```bash
pz project list
```

### Show one project
```bash
pz project <project-id>
```

### Browse project feed
```bash
pz feed <project-id>
```

Useful flags:
- `--must-read`
- `--since YYYY-MM-DD`
- `--limit N`
- `--json`
- `--atom`

Examples:
```bash
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
```bash
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
```bash
pz rec <project-paper-id>
pz rec <project-paper-id> --json
pz rec <project-paper-id> --markdown
```

### Leave recommendation feedback
```bash
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

```bash
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

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Information

Repository
K-Dense-AI/claude-scientific-skills
Author
K-Dense-AI
Last Sync
9/5/2026
Repo Updated
9/5/2026
Created
5/28/2026

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