paperzilla
FreeNo executable scriptsNot checkedChat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper
About this skill
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:
Build from source (Go 1.23+)
See the CLI repository for source builds:
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
--jsonfor machine parsing. pz paper --markdownonly returns markdown when it is already prepared.pz rec --markdowncan queue markdown generation and prints a friendly retry message while it is still being prepared.--atomreturns a personal feed URL for feed readers.
Configuration
export PZ_API_URL="https://paperzilla.ai"
References
Install paperzilla in Claude Code & Claude Desktop
Sign up to install this skill
Create a free account to reveal the install command and save the skill to your library.
- Reveal the one-line install command
- Save skills to your synced library
- Get notified when skills update
Allowed tools
Tools this skill is permitted to call.
No restriction — this skill can use any tool.
FAQ
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.
How do I install the paperzilla skill?
Copy the skill folder into ~/.claude/skills (the Claude Code tab above does this in one command), or install it as a plugin.
Does the paperzilla skill run scripts?
No, this skill is instructions only (SKILL.md) with no executable scripts.
Related skills
oci-iot-platform
Explore, create, and troubleshoot Oracle Cloud Infrastructure Internet of Things Platform resources, including domains, digital twin models, adapters, instances
by Oraclelamindb
Use when working with LaminDB, the open-source lineage-native lakehouse for biological datasets and models. Covers setup, artifact registration, query/search, l
by K-Dense AIliterature-review
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be us
by K-Dense AIpaper-lookup
Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv
by K-Dense AI