/SKILL.md
# 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?" - O
npx skillsauth add 0xmerl99/paperclaw paperclawInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
review.add_paper(
doi="10.1038/s41586-024-00001-0",
added_by="alice",
tags=["transformer", "protein-folding", "benchmark"]
)
review.generate_draft(
topic="attention mechanisms in protein language models",
format="latex",
max_papers=40,
include_team_notes=True
)
review.diff(since="2024-01-01", show_new_papers=True, show_updated_claims=True)
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.
arxiv-monitor and semantic-scholar skills for automatic ingestiondevelopment
# Contradiction Detection ## Overview Scans a corpus of papers for conflicting empirical claims, methodological disagreements, or opposing conclusions on the same topic. Surfaces genuine scientific contradictions that the team needs to be aware of — before they cite conflicting work or build on a shaky premise. ## When to Use - User asks "do any of our papers disagree with each other?" - User is writing a discussion section and needs to address conflicting findings - User wants to know if a cl
development
# Lab Knowledge Handoff ## Overview Packages a departing team member's knowledge — their reading history, annotations, notes, and expertise — into a structured handoff document that the lab retains permanently. Prevents institutional knowledge loss when students graduate, postdocs move on, or collaborators leave. ## When to Use - A lab member is graduating, leaving, or transitioning off a project - Lab wants to archive what a departing member knew before they go - New member is onboarding to a
documentation
Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5] [--notify-channel -1002381931352]
documentation
Maintain the OpenClaw memory wiki vault with deterministic pages, managed blocks, and source-backed updates.