A comprehensive scientific toolkit for literature discovery, automated data analysis, and research project development.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install research-tools-skill
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 research-tools-skill 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 Research Tools?
Research Tools is a specialized package within the Openclaw Skills ecosystem designed specifically for academic and scientific professionals. It bridges the gap between raw information gathering and technical implementation by providing tools for literature retrieval, full-text analysis, and complex data processing. By leveraging this skill, researchers can automate the most time-consuming parts of their workflow, from finding the latest papers on arXiv to generating statistical visualizations using Python.
The skill is built to support a wide range of disciplines, including artificial intelligence, biomedicine, and social sciences. It provides a unified interface for conducting deep research, allowing users to transition quickly from a simple query to a structured experimental environment. Whether you are a student or a senior researcher, these Openclaw Skills empower you to focus on innovation rather than administrative overhead.
Research Tools Use Cases
- Automating systematic literature reviews across academic search engines.
- Extracting and summarizing key findings from research paper abstracts and full-text documents.
- Performing advanced statistical analysis and machine learning modeling directly within your workflow.
- Reproducing experimental methods described in scientific literature through automated scripts.
- Generating standardized project structures for new scientific investigations.
How Research Tools Works
- Search for relevant literature using the integrated web search functionality with custom filters for date and relevance.
- Fetch the full content of academic papers or abstracts for deep semantic analysis.
- Extract key methodologies and data points from the literature to inform experimental design.
- Execute Python-based data analysis scripts to process experimental results or public datasets.
- Initialize a structured research project session to organize code, data, and documentation.
Research Tools Setup
To utilize these Research Tools from the Openclaw Skills library, ensure your environment has Python, Node.js, and Git installed. You can then execute research tasks using the following command structures:
# Perform a targeted literature search
web_search query:"quantum computing advancements" count:10 freshness:"year"
# Execute a data analysis script
exec command:"python -c 'import pandas as pd; # analysis code'"
Research Tools Data Schema & Taxonomy
| Data Type | Description | Metadata Fields |
|---|---|---|
| Search Results | List of academic papers and sources | Query, Count, Freshness, URL |
| Paper Content | Extracted text and metadata from sources | Title, Abstract, Full-text, DOI |
| Analysis Data | Processed datasets and statistical outputs | Script Source, Runtime, Results |
| Session Data | Structured project environments | Runtime Type, Task Definition, Files |
Research Tools Advanced Features
- Advanced web search integration tailored for high-accuracy academic discovery.
- Direct execution of Python environments for complex mathematical and statistical modeling.
- Automated project spawning to maintain isolation between different research initiatives.
- Multi-field support covering everything from engineering to chemistry and social sciences.
SKILL.md
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