An AI-driven research tool that fetches arXiv papers, analyzes their core citations via sub-agents, and compiles a cohesive executive summary.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install paper-digest
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install paper-digest using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Paper Digest?
Paper Digest is a specialized tool built to enhance the academic workflow of researchers and developers. By utilizing the modular nature of Openclaw Skills, this agent automates the tedious process of reading a paper and then manually hunting down its most important references. It intelligently identifies the primary baselines and architectural foundations of a study, ensuring you understand the context as well as the content.
This skill is designed to provide a high-level view of a paper's contribution while simultaneously managing the complexity of citation networks. It represents a significant leap in automated technical analysis within the ecosystem of Openclaw Skills, allowing users to move from a single ID to a full-context report in minutes.
Paper Digest Use Cases
- Rapid literature review for new engineering or research projects.
- Understanding the architectural lineage of a new machine learning model.
- Creating internal technical briefings on state-of-the-art developments without manual synthesis.
- Mapping the dependencies and improvements of a specific paper relative to its primary baselines.
How Paper Digest Works
- The user provides an arXiv ID or URL, which the agent normalizes to extract the unique identifier.
- The main agent attempts to fetch the paper content through the arXiv HTML interface, falling back to version-specific URLs if necessary.
- The agent analyzes the paper to extract up to five key citations that are central to the work's architecture or methodology.
- Sub-agents are dynamically spawned to process these citations, checking for existing summaries in the local workspace to avoid redundant work.
- All gathered insights are synthesized into a single, professionally written prose report in the user's workspace.
Paper Digest Setup
To integrate this capability into your agent, ensure your environment supports web fetching and sub-agent orchestration common in Openclaw Skills.
# Create the necessary workspace directories
mkdir -p ~/.openclaw/workspace/papers
mkdir -p ~/.openclaw/workspace/digest
# Ensure the paper-digest skill is registered in your agent's manifest
Paper Digest Data Schema & Taxonomy
The skill organizes research data into two primary locations within the local workspace to enable caching and easy retrieval:
| Directory | File Type | Purpose |
|---|---|---|
~/.openclaw/workspace/papers/ |
<arxiv-id>.md |
Individual summaries of main papers and their citations. |
~/.openclaw/workspace/digest/ |
report_<arxiv-id>.md |
The final consolidated executive summary written in flowing prose. |
Paper Digest Advanced Features
- Multi-agent Coordination: Leverages sub-agents to parallelize the reading and summarization of citation networks.
- Intelligent Resolution: Automatically falls back to arXiv search queries if direct IDs are not present in citations.
- Workspace Persistence: Avoids re-processing papers by checking for existing summaries before initiating new sub-agent tasks.
- Context-Aware Filtering: Prioritizes citations based on their relationship to the main paper's architecture rather than simple frequency.
SKILL.md
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