paperzilla

Trigger phrases

Phrases that activate this skill when typed to Claude Code:

• recommend papers from Paperzilla
• get my Paperzilla feed
• find canonical papers on
• paperzilla recommendations

What it does

paperzilla is a Claude Code skill from K-Dense AI’s scientific-agent-skills repo. It turns Claude into a Paperzilla interface agent that surfaces curated paper recommendations, canonical papers for a topic, and your personalized feed from Paperzilla — formatted as markdown summaries or Atom feed exports.

A session produces a curated reading list: recommended papers with summaries, links, and relevance context, or a structured feed export you can import into a reference manager.

When to use it

Reach for it when:

• You want curated, high-quality paper recommendations for a research area rather than raw database search results
• You’re looking for the canonical / foundational papers on a topic that Paperzilla’s editorial layer has surfaced
• You want to export your Paperzilla feed for offline reading or import into Zotero

When not to reach for it:

• Exhaustive systematic searches across all literature — use paper-lookup or literature-review
• Direct API access to PubMed, arXiv, or Semantic Scholar — use paper-lookup

Install

Copy the SKILL.md from K-Dense AI’s paperzilla folder into .claude/skills/paperzilla/ in your project. A Paperzilla account is required for personalized recommendations.

Trigger phrases: “recommend papers from Paperzilla”, “get my Paperzilla feed”, “find canonical papers on”.

What a session looks like

A typical session has three phases:

1. Topic or feed query. Specify a research topic or ask for your recent Paperzilla feed. Claude formats the request to the Paperzilla interface.
2. Recommendation retrieval. Claude surfaces recommended papers with markdown summaries — title, authors, venue, abstract excerpt, and Paperzilla’s relevance signal.
3. Feedback or export. You can provide feedback on recommendations to tune future suggestions, or export the current set as an Atom feed or formatted list for your reference manager.

Receipts

Where it works well:

• Finding canonical papers in established fields where Paperzilla’s curation has had time to identify high-impact works
• Getting a curated reading list for a new research area without having to construct database queries from scratch

Where it backfires:

• Very recent or niche topics with limited Paperzilla coverage — the curation layer needs time and community signal to surface quality papers
• Users without a Paperzilla account get generic rather than personalized recommendations

Pattern that works: use Paperzilla for the reading queue and paper-lookup for targeted retrieval; the two tools complement rather than replace each other.

Source and attribution

Skill authored by Paperzilla Inc.. The canonical SKILL.md lives in the paperzilla folder of K-Dense AI’s scientific-agent-skills repository.

License: MIT. Install, adapt, and redistribute with attribution preserved.

This page documents the skill from a practitioner’s perspective. For the formal spec and any updates, defer to the source repo.