How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does paperzilla support?

paperzilla works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is paperzilla free to use?

Yes. paperzilla is free to install and use. It is available from the open explainx.ai skill registry published by K-Dense-AI.

Where can I read ratings and reviews for paperzilla?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install paperzilla?

Run `npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla` in your terminal. You need to have run `npx skills init` once in your project first.

Science

paperzilla▌

K-Dense-AI/scientific-agent-skills · updated Jun 4, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla

0 commentsdiscussion

summary

### Paperzilla

›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, reco..."

skill.md

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:

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

how to use paperzilla

How to use paperzilla on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add paperzilla

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill paperzilla

The skills CLI fetches paperzilla from GitHub repository K-Dense-AI/scientific-agent-skills and configures it for Cursor.

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/paperzilla

Reload or restart Cursor to activate paperzilla. Access the skill through slash commands (e.g., /paperzilla) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client with skill support
›Clear understanding of task or problem to solve
›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

1.Install skill using provided installation command
2.Test with simple use case relevant to your work
3.Evaluate output quality and relevance
4.Iterate on prompts to improve results
5.Integrate into regular workflow if valuable

Common Pitfalls

⚠Expecting perfect results without iteration
⚠Not providing enough context in prompts
⚠Using skill for tasks outside its intended scope
⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

+Start with clear, specific prompts
+Provide relevant context and constraints
+Review and refine all outputs before using
+Iterate to improve output quality
+Document successful prompt patterns

✗ Don't

−Don't use without understanding skill limitations
−Don't skip validation of outputs
−Don't share sensitive information in prompts
−Don't expect skill to replace human judgment

💡 Pro Tips

★Be specific about desired format and style
★Ask for multiple options to choose from
★Request explanations to understand reasoning
★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

1Familiarize yourself with skill capabilities and limitations
2Start with low-risk, non-critical tasks
3Progress to more complex and valuable use cases
4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.6★★★★★53 reviews

★★★★★Lucas Ndlovu· Dec 28, 2024
paperzilla fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Hiroshi Robinson· Dec 24, 2024
Keeps context tight: paperzilla is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Shikha Mishra· Dec 12, 2024
paperzilla is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Anaya Perez· Dec 8, 2024
We added paperzilla from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
★★★★★Valentina Bansal· Nov 27, 2024
Useful defaults in paperzilla — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Kwame Gonzalez· Nov 19, 2024
Registry listing for paperzilla matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Hiroshi Taylor· Nov 15, 2024
paperzilla is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Omar Martinez· Nov 7, 2024
I recommend paperzilla for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
★★★★★Yash Thakker· Nov 3, 2024
Keeps context tight: paperzilla is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Omar Smith· Oct 26, 2024
paperzilla reduced setup friction for our internal harness; good balance of opinion and flexibility.

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