
Paperzilla
Wire your coding agent into Paperzilla so you can pull project recommendations, canonical papers, and Atom feeds without leaving the repo.
Install
npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill paperzillaWhat is this skill?
- Query latest recommendations and canonical papers per Paperzilla project via the `pz` CLI
- Fetch papers as markdown and ask the agent to summarize relevance to your research
- Export papers, recommendations, or feeds as JSON and surface Atom feed URLs
- Submit recommendation feedback through the same CLI surface
- Core integration only—no imposed workflow or external delivery pipeline
Adoption & trust: 556 installs on skills.sh; 27.6k GitHub stars; 2/3 security scanners passed (skills.sh audits).
Recommended Skills
Journey fit
Paperzilla is shelved under Idea because solo builders typically reach for literature and recommendation feeds while exploring what to build or which direction to research. Research is the canonical subphase: the skill is built around project feeds, canonical papers, markdown summaries, and relevance to your work—not implementation or shipping.
Common Questions / FAQ
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.
SKILL.md
READMESKILL.md - Paperzilla
# 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 ```bash brew install paperzilla-ai/tap/pz ``` ### Windows (Scoop) ```bash 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: ```bash pz update ``` If detection is ambiguous, override it explicitly: ```bash 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 ```bash pz login ``` ## CLI reference If the current profile uses `pz`, these are the core commands. ### List projects ```bash pz project list ``` ### Show one project ```bash pz project <project-id> ``` ### Browse project feed ```bash pz feed <project-id> ``` Useful flags: - `--must-read` - `--since YYYY-MM-DD` - `--limit N` - `--json` - `--atom` Examples: ```bash 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 ```bash 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 ```bash pz rec <project-paper-id> pz rec <project-paper-id> --json pz rec <project-paper-id> --markdown ``` ### Leave recommendation feedback ```bash 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 ```bash 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