A sophisticated academic analysis tool that generates both deep technical reports and concise logical summaries for any scientific paper.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install paper-parse
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-parse 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 Parse?
Paper Parse is a specialized skill designed for researchers and academics who need to digest complex literature with high precision. Unlike standard summarizers, this tool operates on a dual-mode output principle, ensuring that users receive both a rigorous technical breakdown and a high-level strategic overview. By utilizing Openclaw Skills, it bridges the gap between raw data extraction and theoretical synthesis, maintaining strict academic integrity throughout the process.
The skill is engineered to go beyond simple translation, focusing on revealing the internal logic, methodological innovations, and theoretical contributions of a paper. Whether dealing with dense PDFs or online research URLs, it provides a structured approach to understanding scientific breakthroughs and experimental results.
Paper Parse Use Cases
- Conducting deep-dive literature reviews for academic theses or professional research projects.
- Quickly extracting experimental data and core hypotheses from a high volume of new publications.
- Preparing for technical discussions by reviewing the dual-mode logic and value reports.
- Translating complex technical findings into accessible, logic-driven summaries for cross-functional teams.
How Paper Parse Works
- Text & Data Extraction: The skill uses pdftotext or internal file tools to extract the full text from the abstract to the bibliography.
- Visual Context Integration: Key tables and figures are analyzed and converted into descriptive text to ensure no critical data is lost.
- Intermediate Synthesis: The agent creates a temporary analysis file to map out research questions, methodology, and theoretical contradictions.
- Dual-Report Generation: Using predefined templates, it generates Part A (Technical Deep Dive) and Part B (Core Logic & Value).
- Final Delivery: The user receives a formatted Markdown file containing both reports separated by a clear structure for easy reading.
Paper Parse Setup
To utilize this skill within the Openclaw Skills framework, ensure the paper-parse directory and its reference templates are properly configured in your environment.
# Verify template availability
ls /home/ubuntu/skills/paper-parse/references/
# Ensure pdftotext is installed for local extraction
sudo apt-get install poppler-utils
Paper Parse Data Schema & Taxonomy
The skill organizes its analytical workflow through specific file structures and metadata mapping:
| Data Type | Format | Purpose |
|---|---|---|
| Analysis File | temp_analysis.md |
Stores intermediate logic and data mapping during the synthesis phase. |
| Final Report | [Abbr]_Research_Report.md |
The primary delivery containing Part A and Part B. |
| Templates | Markdown | Standardized structures located in the references folder for consistent reporting. |
| Key Terms | Bilingual | Maintains technical accuracy by providing English-Chinese terminology mapping. |
Paper Parse Advanced Features
- Multi-source support: Processes both local PDF uploads and direct research URLs.
- Visual-to-Text translation: Extracts and describes critical charts and tables for textual analysis.
- Template-driven consistency: Uses specialized academic templates to ensure professional formatting across all reports.
- Theoretical gap analysis: Identifies how a paper supplements, modifies, or overturns existing theoretical frameworks.
- Openclaw Skills integration: Optimized for high-fidelity reasoning and automated documentation workflows.
SKILL.md
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