An AI-powered research assistant that performs deep structural analysis of PDF papers to generate comprehensive, high-value technical reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install paper-reader-deep
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-reader-deep 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 Reader Deep Skill?
Paper Reader Deep Skill is a specialized tool designed for researchers, academics, and developers who need more than just a surface-level summary. By leveraging advanced Openclaw Skills, this agent performs a truly deep reading of PDF documents, extracting not just text but the underlying scientific logic, methodology, and innovation of a paper. It bridges the gap between raw academic content and actionable research insights by automating the heavy lifting of structural comprehension.
This skill goes beyond superficial parsing by applying a critical analysis framework. It evaluates the logical chain from hypothesis to experiment, identifies core contributions, and highlights potential limitations. Whether you are conducting a detailed literature review or staying updated on the latest breakthroughs in your field, this skill ensures you capture the most significant details without manual drudgery, keeping your research organized and professional.
Paper Reader Deep Skill Use Cases
- Conducting deep literature reviews for academic or technical research projects.
- Automatically extracting metadata, titles, and DOI information from large collections of PDFs.
- Performing critical analysis on technical methodologies and experimental results for peer review.
- Synthesizing multiple research papers into a single summary report for team knowledge sharing within Openclaw Skills environments.
How Paper Reader Deep Skill Works
- The skill extracts the full text and metadata including Title, DOI, Authors, and Journal from the provided PDF files using specialized Python libraries.
- It performs a deep AI-driven analysis to understand the core research motivation, technical path, and significant findings.
- A critical evaluation is conducted to identify the strengths, weaknesses, and unique innovations of the research.
- The agent generates a structured Markdown report that includes basics, core understanding, critical analysis, and user-specific relevance assessments.
- The activity is logged to a memory file for tracking, while detailed reports are saved in the same directory as the source PDFs.
Paper Reader Deep Skill Setup
To use this skill, ensure you have Python 3.8 or higher installed. You will need to install the following dependencies via terminal:
pip install pdfplumber PyYAML
Once installed, you can trigger a deep reading session by providing the path to your PDF directory:
深度阅读 /path/to/pdfs/
Paper Reader Deep Skill Data Schema & Taxonomy
The skill organizes its output into structured Markdown files to ensure clarity and easy integration with other Openclaw Skills.
| Output Component | Format | Description |
|---|---|---|
| Individual Report | *_深度阅读报告.md |
Contains basic info, core understanding, and critical analysis for a specific PDF. |
| Summary Report | 深度阅读汇总.md |
A consolidated overview of all papers analyzed in the current batch. |
| Activity Log | MEMORY.md |
Records the reading behavior and metadata without duplicating the full report content. |
Paper Reader Deep Skill Advanced Features
- Automatic DOI and metadata resolution for standardized academic citations.
- Logical chain validation to check the rigor of the author's reasoning from hypothesis to conclusion.
- Batch processing capabilities to handle multiple research papers in a single execution.
- Customizable user-research correlation to align the AI analysis with your specific project goals.
- Seamless integration with the broader ecosystem of Openclaw Skills for automated knowledge base construction.
SKILL.md
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