Agent skill · writing content · k-dense-ai
paperzilla
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.
Why this skill is useful
Adds specific commands and workflows for interacting with Paperzilla's project and paper data that the AI wouldn't reliably generate on its own.
What it needs
Requires pz installed locally. About 2k tokens when loaded. Last updated 2026-08-03. 32,849 stars on the source repository.
What this skill does
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 Windows (Scoop) 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: If detection is ambiguous, override it explicitly: Supported values are auto, homebrew, scoop, release, and source. Authentication CLI reference If the current profile uses pz, these are the core commands. List projects Show one project Browse project feed Useful flags: --must-read --since YYYY-MM-DD --limit N --json --atom Examples: Feed output can include existing recommendation feedback markers: [↑] upvote [↓] downvote [★] star Read a canonical paper Open a recommendation from one of your projects Leave recommendation feedback 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills k-dense-ai/paperzilla