paperzilla-ai/paperzilla-skills/paperzilla-monitor

Claude Code and agent skill by paperzilla-ai/paperzilla-skills

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Discuss and triage papers from one Paperzilla project and produce weekday research briefs. Use when users want recent papers, metadata, markdown-based summaries, why a paper matters for current work, feed triage in chat, or a recurring weekday brief.

Install

npx vskill@latest install paperzilla-ai/paperzilla-skills/paperzilla-monitor

SKILL.md

Paperzilla research briefs

Use this skill when the user wants one of these two workflows:

  • on_demand_discussion: discuss the latest papers from one Paperzilla project, inspect one paper, fetch markdown, summarize it, explain why it matters for "our work", and continue the discussion
  • weekday_brief: produce one concise weekday research brief for one Paperzilla project

This is a workflow skill built on top of the same Paperzilla access layer as the core paperzilla skill. It should feel opinionated and repeatable.

What this skill needs

  • One Paperzilla project
  • One short sentence for "our work" if that context is not already known

If either is missing, ask once and then reuse it for the rest of the workflow.

Examples:

  • Project: Agents evaluation
  • Our work: we build evaluation infrastructure for coding agents.

Transport rules

Follow the transport required by the current profile.

CLI profiles

Use the Paperzilla CLI (pz).

Core commands:

bash
pz project list
pz project <project-id>
pz feed <project-id> --limit 20 --json
pz rec <project-paper-id> --json
pz rec <project-paper-id> --markdown
pz paper <paper-id> --json
pz paper <paper-id> --markdown
pz paper <paper-id> --project <project-id>
pz feedback <project-paper-id> upvote
pz feedback <project-paper-id> star
pz feedback <project-paper-id> downvote --reason not_relevant
pz feedback <project-paper-id> downvote --reason low_quality
pz feedback clear <project-paper-id>

Use --json whenever you need structured feed or metadata parsing.

Keep the Paperzilla object model straight:

  • pz paper <paper-ref> = canonical paper
  • pz rec <project-paper-ref> = recommendation inside one project
  • pz feedback <project-paper-ref> ... = project-specific feedback on that recommendation

When an item comes from pz feed --json, prefer pz rec and pz feedback over pz paper.

CLI markdown behavior differs by command:

  • pz rec --markdown can queue markdown generation and prints a friendly retry message when it is still being prepared
  • pz paper --markdown only returns markdown when it is already ready
MCP profiles

Use the Paperzilla MCP tools directly.

Core tools:

  • projects_list
  • projects_get
  • feed_get
  • paper_get
  • paper_markdown

Preferred sequence:

  1. projects_list when the project is missing or ambiguous
  2. projects_get to confirm project identity when needed
  3. feed_get to pull the latest feed items
  4. paper_get for one paper's metadata
  5. paper_markdown for markdown-backed analysis

Handle paper_markdown statuses correctly:

  • ready: use the markdown
  • queued: tell the user it is still being prepared and suggest retrying shortly
  • unavailable: report that markdown is not currently available

Shared behavior rules

  • Treat Paperzilla relevance and ranking as a strong prior, not the final answer.
  • Use Paperzilla terms exactly: project, feed, Must Read, Related.
  • Name the exact paper or recommendation identifier you used when you inspect one paper.
  • Separate metadata from interpretation.
  • Explain relevance in terms of the user's actual work, not generic importance.
  • Do not dump full markdown unless the user explicitly asks for it.
  • Do not switch to arXiv HTML/abs links as the default fallback when the request was specifically for Paperzilla markdown.

Mode 1: on-demand discussion

Use this mode when the user wants an interactive paper conversation in chat.

Workflow
  1. Resolve the project and the "our work" context.
  2. Pull the latest papers from that project's feed.
  3. Show a short list of the newest or strongest candidates.
  4. When the user picks one paper, return metadata first.
  5. Fetch markdown for that paper or recommendation.
  6. Summarize:
  • contribution
  • method
  • results
  • limits
  • why it matters for our work
  1. Continue the discussion and make a recommendation such as:
  • read now
  • keep as Related
  • ignore this week
Output contract

For the first feed reply, include:

  • project name
  • the papers you checked
  • per paper: title, date, source, and whether it looks Must Read or Related

For the metadata reply, include:

  • title
  • authors
  • publication date
  • source
  • URL
  • the exact Paperzilla paper ID or project-paper ID used

For the markdown reply, include:

  • contribution
  • method
  • results
  • limits
  • why it matters for our work

Mode 2: weekday brief

Use this mode when the user wants one concise recurring brief for one project.

Workflow
  1. Resolve the project and the "our work" context.
  2. Load the per-project history of papers already proposed in earlier weekday briefs.
  3. Pull the newest papers from the feed.
  4. Exclude papers that were already proposed in earlier weekday briefs unless the user explicitly asked to revisit them.
  5. Select the remaining papers worth mentioning.
  6. For each selected paper, give:
  • one short summary
  • one sentence on why it is relevant to our work
  1. After drafting or sending the brief, append the exact Paperzilla IDs used for the selected papers to that project's proposed-paper history.
  2. If no new papers qualify, say that explicitly.
Output contract

Every weekday brief should include:

  • project name
  • date
  • how many new papers were checked
  • for each selected paper:
  • title
  • one short summary
  • one sentence on why it is relevant to our work
  • a clear No new papers today. line when nothing new qualifies

Keep the brief concise and easy to scan.

For recurring runs, the agent must keep a persistent per-project record of the exact Paperzilla IDs already proposed in earlier briefs. Do not propose the same paper again in a later recurring brief unless the user explicitly asked to revisit it.

Edge cases

  • No project given: ask once, then continue.
  • No "our work" context: ask once for one short sentence, then reuse it.
  • No prior brief history: treat the run as the first brief for that project, initialize an empty proposed-paper history, and persist the papers selected this time.
  • No new papers: report that clearly instead of padding the brief.
  • Large feed: use a sensible limit first, then expand only if needed.
  • Markdown delay: retry more than once when the user explicitly asked for markdown. Prefer a short polling loop over an immediate fallback.
  • Ambiguous paper ID: fall back to the full UUID or clearly restate the paper you selected.
  • Canonical vs recommendation confusion: if an ID came from pz feed --json, assume it is a recommendation ID unless shown otherwise.

Agent-specific rules

Read and follow any packaged AGENT.md file for the current profile. The profile file defines the chat surface, delivery surface, and scheduling behavior.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
5
Repository forks
2
7-day trend score
9

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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