
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 paperzillaAdd your badge
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| Installs | 907 |
|---|---|
| repo stars | ★ 32k |
| Security audit | 2 / 3 scanners passed |
| Last updated | July 29, 2026 |
| Repository | k-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
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/pzWindows (Scoop)
scoop bucket add paperzilla-ai https://github.com/paperzilla-ai/scoop-bucket
scoop install pzLinux
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 updateIf 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 sourceSupported values are auto, homebrew, scoop, release, and source.
Authentication
pz loginCLI reference
If the current profile uses pz, these are the core commands.
List projects
pz project listShow 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> --atomFeed 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> --markdownLeave 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
- 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.