PaperClaw PaperClaw

Living Review

install
source · Clone the upstream repo
git clone https://github.com/0xMerl99/PaperClaw
Claude Code · Install into ~/.claude/skills/
git clone --depth=1 https://github.com/0xMerl99/PaperClaw ~/.claude/skills/0xmerl99-paperclaw-paperclaw
manifest: SKILL.md
source content

Living Review

Overview

Maintains a continuously updated, structured literature review for a research team. Ingests papers from multiple sources, synthesizes findings across the team's collective reading, and produces a living document that evolves as new work is published.

When to Use

  • User asks to "update our literature review" or "add this paper to the review"
  • User wants a summary of what their team has read on a topic
  • User asks "what do we know about X based on our papers?"
  • Onboarding a new team member who needs a fast overview of prior work
  • Preparing a manuscript introduction or related work section

Key Capabilities

  • Ingest PDFs, DOIs, arXiv IDs, or PubMed IDs into a shared knowledge base
  • Extract key claims, methods, datasets, and limitations per paper
  • Auto-group papers by theme, methodology, or recency
  • Generate a structured Markdown or LaTeX review draft
  • Track which team member added which paper and when
  • Flag papers that conflict with or extend each other
  • Diff the review against previous versions to show what changed

Usage Examples

Add a paper to the living review

review.add_paper(
    doi="10.1038/s41586-024-00001-0",
    added_by="alice",
    tags=["transformer", "protein-folding", "benchmark"]
)

Generate a living review draft on a topic

review.generate_draft(
    topic="attention mechanisms in protein language models",
    format="latex",
    max_papers=40,
    include_team_notes=True
)

Show what changed since last week

review.diff(since="2024-01-01", show_new_papers=True, show_updated_claims=True)

Output Format

Produces structured Markdown with sections: Background, Key Methods, Datasets Used, Open Questions, Recent Additions. Each claim is traceable to a source paper and team contributor.

Notes

  • Works best when combined with
    arxiv-monitor
    and
    semantic-scholar
    skills for automatic ingestion
  • Team notes and annotations are preserved across updates — never overwritten
  • Supports BibTeX export for manuscript preparation