A dual-mode deep reading skill that generates both rigorous academic analyses and concise logic distillations for scholarly papers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install academic-paper-parse-en
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 academic-paper-parse-en 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 Academic Paper Parse?
The Academic Paper Parse skill is a specialized tool designed to handle the heavy lifting of academic literature review. By leveraging Openclaw Skills architectures, it performs a professional-grade analysis of any PDF or URL-sourced scholarly paper. Unlike simple summarizers, this skill follows a dual-mode philosophy, producing a detailed report that caters to both the need for technical rigor and the necessity for rapid, high-level comprehension.
The process goes beyond mere text extraction to identify theoretical foundations, methodological innovations, and internal tensions within the research. It ensures that researchers using Openclaw Skills can maintain academic standards while significantly accelerating their reading throughput.
Academic Paper Parse Use Cases
- Automating the literature review process for research projects.
- Extracting core findings and data points from complex academic PDFs for team sharing.
- Distilling the essential value and logic chain of a paper for quick decision-making.
- Maintaining a structured database of scholarly insights using consistent reporting templates.
How Academic Paper Parse Works
- Extract the full text of the academic paper using the pdftotext binary or the internal file reading action for PDF attachments and URLs.
- Execute a structured synthesis phase, recording research questions, data sources, and theoretical implications into a temporary analysis file.
- Generate a dual-mode final report based on standardized academic templates provided in the reference directory.
- Deliver the final deliverable via a message tool, providing an executive summary to highlight core innovations immediately.
- Purge temporary files to ensure a clean and organized workspace for subsequent tasks.
Academic Paper Parse Setup
To integrate this skill into your Openclaw Skills workflow, ensure your environment is configured for PDF text extraction.
# Install the recommended PDF utility for best results
sudo apt-get install poppler-utils
You must also ensure that the template files part-a-template.md and part-b-template.md are located within the ./references/ directory relative to the skill execution path.
Academic Paper Parse Data Schema & Taxonomy
The skill follows a strict data organization schema to ensure consistency across multiple research papers:
| Component | Type | Purpose |
|---|---|---|
temp_analysis.md |
Markdown | Temporary workspace for organizing raw findings. |
[paper-shortname]_reading-report.md |
Markdown | The final primary deliverable containing Part A and Part B. |
Part A |
Section | Rigorous academic analysis including methodology and data. |
Part B |
Section | Distillation of the logic chain and essential research value. |
Figures Text |
Text File | Metadata and descriptions of charts and figures found in the PDF. |
Academic Paper Parse Advanced Features
- Dual-Mode Reporting: Simultaneously generates an exhaustive researcher-grade report and a concise distillation for rapid insight.
- Intelligent Fallback: Automatically switches between pdftotext and the internal file tool to ensure parsing success in various environments.
- Citation Integrity: Explicitly cites specific data points and results to support all synthesized claims within the Openclaw Skills output.
- Template-Driven Workflow: Uses external reference files to maintain a standardized format across different academic disciplines.
SKILL.md
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