PaperClaw

CA: 8Sr83QJW12HMnxvg7HzHZvdFfj6G8j7AwzKmyBfRpump

A production-ready OpenClaw skill library for academic research teams

<img width="1024" height="1024" alt="Image" src="https://github.com/user-attachments/assets/d1270796-a244-45f7-af51-4fb070dbfe1f" />

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[!NOTE] PaperClaw is a skill library, not a monolithic software package. You can install the full collection or copy only the skill folders that match your team's workflows.

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Overview

PaperClaw packages 27 production-ready SKILL.md files for academic research team workflows across literature management, synthesis, collaboration, manuscript output, and research tracking. Each skill teaches an OpenClaw-compatible agent when to use a capability, how to invoke it, and what kind of output to produce.

PaperClaw is designed for research teams — labs, collaborative projects, cross-institution groups — who want a shared AI research layer rather than isolated personal tools. It is the knowledge management and collaboration complement to LabClaw's biomedical execution toolkit.

| | LabClaw | PaperClaw | |---|---|---| | Focus | Biomedical tools & databases | Cross-field knowledge workflows | | Unit | Solo researcher | Research team / lab | | Emphasis | Execution (run analysis) | Synthesis & collaboration | | Scope | Bio / pharma / med | Any academic field |

At a Glance

| Domain | Skills | Focus | |---|---|---| | 📚 Literature | 6 | Living reviews, monitoring, citation graphs, gap detection | | 🔬 Synthesis | 5 | Contradiction detection, consensus mapping, evidence grading | | 🤝 Collaboration | 5 | Annotation sharing, expertise mapping, knowledge handoffs | | ✍️ Output | 6 | Draft generation, grants, rebuttals, presentation decks | | 📡 Tracking | 5 | Hypothesis versioning, preprint watch, citation alerts |

Quick Start

OpenClaw loads workspace skills from <workspace>/skills. A practical setup:

git clone https://github.com/meowscles69/PaperClaw.git
mkdir -p ~/.openclaw/workspace/skills
cp -R PaperClaw/skills/* ~/.openclaw/workspace/skills/

Then start a new OpenClaw session so the skill folders are picked up. If you keep your workspace in git, merge only the folders you need rather than copying the full library.

Repository Layout

PaperClaw/
├── README.md
└── skills/
    ├── literature/      # 6 skills: living reviews, arXiv monitoring, citation graphs, gap detection
    ├── synthesis/       # 5 skills: contradiction detection, consensus mapping, evidence grading
    ├── collaboration/   # 5 skills: annotation sharing, expertise mapping, knowledge handoffs
    ├── output/          # 6 skills: draft generation, grants, rebuttals, presentations
    └── tracking/        # 5 skills: hypothesis versioning, preprint watch, citation alerts

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📚 Literature — 6 skills

Tools for managing, discovering, and structuring the academic literature your team reads.

| Skill | Description | |---|---| | living-review | Maintains a continuously updated, structured literature review for a research team. Ingests papers from multiple sources and synthesizes findings across the team's collective reading into a living document. | | arxiv-monitor | Monitors arXiv for new papers matching team research interests. Scores relevance, deduplicates against existing library, and surfaces the most important new work — replacing manual daily browsing. | | citation-graph | Builds and analyzes citation networks around a body of papers. Reveals foundational works, emerging clusters, and the intellectual lineage of a research area. | | gap-detection | Analyzes a team's literature base to identify what has NOT been studied, contested, or resolved. Surfaces research gaps, methodological blind spots, and open questions. | | semantic-scholar | Queries the Semantic Scholar Academic Graph API for paper metadata, citations, author profiles, and semantic search across 200M+ papers. | | zotero-integration | Connects to a team's Zotero library via the Web API. Reads, writes, and syncs paper collections, annotations, and notes — bridging existing reference workflows with PaperClaw. |

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🔬 Synthesis — 5 skills

Tools for extracting meaning across papers, not just within them.

| Skill | Description | |---|---| | contradiction-detection | Scans a corpus of papers for conflicting empirical claims, methodological disagreements, or opposing conclusions. Surfaces genuine scientific contradictions before the team cites conflicting work. | | consensus-mapping | Identifies what the field broadly agrees on versus what remains contested. Produces a "state of knowledge" map separating settled science from active debate. | | claim-tracker | Tracks specific scientific claims across the literature over time — who made the claim, who replicated it, who challenged it, and whether it still stands. | | cross-paper-synthesis | Synthesizes findings across multiple papers into coherent narrative, structured comparison, or temporal evolution. Produces insights that only emerge from reading across the corpus as a whole. | | evidence-grading | Evaluates the strength of evidence behind scientific claims based on study design, replication status, venue quality, and recency. Produces structured evidence grades. |

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🤝 Collaboration — 5 skills

Tools for making a lab's collective knowledge more than the sum of its parts.

| Skill | Description | |---|---| | annotation-sharing | Enables a team to share, discuss, and build on PDF annotations across papers. Transforms isolated highlights into a shared knowledge layer. | | expertise-mapping | Maps expertise distribution across the team based on reading history and annotations. Answers "who knows the most about X?" and identifies knowledge gaps. | | lab-knowledge-handoff | Packages a departing team member's knowledge into a structured handoff document. Prevents institutional knowledge loss when students graduate or postdocs move on. | | reading-coverage | Tracks which papers the team has collectively read and what important papers remain unread. Acts as the team's reading dashboard. | | team-sync | Generates structured lab meeting agendas and paper discussion summaries based on recent team reading activity and open questions. |

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✍️ Output — 6 skills

Tools for turning research knowledge into manuscripts, grants, and presentations.

| Skill | Description | |---|---| | draft-generation | Generates manuscript sections grounded in the team's literature base — with all claims citation-traced and calibrated to evidence grades. | | grant-writing | Generates agency-specific grant proposal sections (NIH, NSF, ERC, Wellcome) grounded in the team's literature and research history. | | review-response | Drafts structured, evidence-backed responses to peer reviewer comments. Surfaces relevant literature, recommends strategy, and generates cover letters. | | abstract-writing | Drafts venue-appropriate abstracts in structured and unstructured formats at multiple word counts, including lay summaries. | | rebuttal-writing | Drafts concise, strategic rebuttals for conference reviews under tight word limits (NeurIPS, ICML, ICLR, ACL). | | presentation-deck | Generates structured slide outlines and content for conference talks, lab meetings, and thesis defenses calibrated to duration and audience. |

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📡 Tracking — 5 skills

Tools for maintaining a living record of the team's scientific thinking.

| Skill | Description | |---|---| | hypothesis-versioning | Maintains version-controlled registry of team hypotheses — tracking evolution, evidence, and reasoning behind each revision. | | experiment-log | Maintains a structured, searchable log of experiments linking each run to its hypothesis, motivating papers, and conclusions. | | reproducibility-check | Evaluates reproducibility of papers or team's own work against venue-specific standards (NeurIPS, Nature, ICML). Flags issues before r